Candidates should study AZ-305: Designing Microsoft Azure Infrastructure Solutions if they have expertise in creating cloud and hybrid solutions that use Microsoft Azure, including computation, network, storage, monitoring, and security. Among other responsibilities, this position entails consulting stakeholders and translating business requirements into designs for secure, scalable, and reliable Azure solutions. An Azure Solutions Architect additionally works with administrators, developers, and other roles involved in the deployment of Azure solutions. The article provides a list of Microsoft Azure Infrastructure Solutions: AZ-305 Sample Questions that cover core exam topics including –

• Design Identity, Governance, and Monitoring Solutions
• Design Data Storage Solutions
•  Design Business Continuity Solutions
• Design Infrastructure Solutions

Which Azure service is used to provide a scalable, fully managed NoSQL database?

• a. Azure Cosmos DB
• b. Azure SQL Database
• c. Azure Database for MySQL
• d. Azure Database for PostgreSQL

Answer: a. Azure Cosmos DB

Explanation: Azure Cosmos DB is a fully managed NoSQL database service that provides scalability, high availability, and global distribution. It supports a variety of data models, including document, key-value, graph, and column-family.

Which Azure service is used to monitor and diagnose issues across applications and infrastructure?

• a. Azure Monitor
• b. Azure Log Analytics
• c. Azure Application Insights
• d. Azure Service Health

Answer: a. Azure Monitor

Explanation: Azure Monitor is a platform for monitoring and diagnosing issues across applications and infrastructure. It provides a centralized location for collecting and analyzing telemetry data from a variety of sources, including applications, infrastructure, and Azure services.

Which Azure service is used to manage the configuration and deployment of virtual machines?

• a. Azure Resource Manager
• b. Azure Virtual Machines
• c. Azure Backup
• d. Azure Site Recovery

Answer: a. Azure Resource Manager

Explanation: Azure Resource Manager is a service for managing the configuration and deployment of resources in Azure. It provides a way to organize resources into resource groups, apply tags for easy searching, and create templates for deploying resources in a repeatable way.

Which Azure service is used to create and manage virtual networks?

• a. Azure Virtual Machines
• b. Azure Site Recovery
• c. Azure Backup
• d. Azure Virtual Network

Answer: d. Azure Virtual Network

Explanation: Azure Virtual Network is a service for creating and managing virtual networks in Azure. It provides a way to securely connect virtual machines, applications, and other services within a single virtual network, or across multiple virtual networks.

Which Azure service is used to provide a fully managed platform for running and scaling containerized applications?

• a. Azure Kubernetes Service
• b. Azure Container Instances
• c. Azure Container Registry
• d. Azure Batch

Answer: a. Azure Kubernetes Service

Explanation: Azure Kubernetes Service is a fully managed platform for running and scaling containerized applications. It provides a way to deploy and manage containerized applications using Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications.

Which Azure service is used to provide an identity and access management solution for applications and services?

• a. Azure Active Directory
• b. Azure Key Vault
• c. Azure Security Center
• d. Azure Information Protection

Answer: a. Azure Active Directory

Explanation: Azure Active Directory is a cloud-based identity and access management solution that provides a way to authenticate and authorize users for applications and services. It provides a centralized location for managing users and groups, enforcing access policies, and enabling single sign-on.

Which Azure service is used to automate the deployment and management of infrastructure resources?

• a. Azure DevOps
• b. Azure Resource Manager
• c. Azure Automation
• d. Azure Logic Apps

Answer: b. Azure Resource Manager

Explanation: Azure Resource Manager is a service for managing the configuration and deployment of resources in Azure. It provides a way to organize resources into resource groups, apply tags for easy searching, and create templates for deploying resources in a repeatable way.

Which Azure service is used to provide a scalable, fully managed relational database service?

• a. Azure Cosmos DB
• b. Azure SQL Database
• c. Azure Database for MySQL
• d. Azure Database for PostgreSQL

Answer: b. Azure SQL Database

Explanation: Azure SQL Database is a fully managed relational database service that provides scalability, high availability, and automatic backup and recovery. It supports SQL Server functionality and is compatible with a variety of tools and frameworks.

Which Azure service is used to manage secrets and keys used for authentication and encryption?

• a. Azure Active Directory
• b. Azure Key Vault
• c. Azure Security Center
• d. Azure Information Protection

Answer: b. Azure Key Vault

Explanation: Azure Key Vault is a service for managing secrets and keys used for authentication and encryption. It provides a way to securely store and manage cryptographic keys, certificates, and secrets, and enables the use of keys and secrets in applications and services.

Which Azure service is used to provide a fully managed messaging service for asynchronous communication between applications and services?

• a. Azure Service Bus
• b. Azure Event Hubs
• c. Azure Notification Hubs
• d. Azure Relay

Answer: a. Azure Service Bus

Explanation: Azure Service Bus is a fully managed messaging service that provides a way to decouple applications and services for asynchronous communication. It supports a variety of messaging patterns, including point-to-point, publish-subscribe, and request-response.

Q1) You have a bespoke application called Application1 in your Azure subscription. Application1 was created by Fabrikam, Ltd., a third-party business. Role-based access control (RBAC) permissions were given to Fabrikam developers for the Application1 components. Microsoft 365 E5 is licenced for all users. You must provide a remedy to determine whether the Fabrikam developers still need access to Application1. The answer must adhere to the following criteria:

Send a monthly email with a list of Application1 access permissions to the manager of the developers. Automatically withdraw an access authorization if the manager doesn’t confirm it. cut back on development work. What ought to you suggest?

• A. Create an application1 access review in Azure Active Directory (Azure AD).
• B. Develop a runbook for Azure Automation that executes the Get-AzRoleAssignment cmdlet.
• C. Create a unique role assignment for the Application1 resources in Azure Active Directory (Azure AD) Privileged Identity Management.
• D. Develop a runbook for Azure Automation that executes the Get-AzureADUserAppRoleAssignment cmdlet.

Correct Answer: A

Q2)You have a subscription to Azure. The subscription has a blob container with several blobs inside of it. During the month of April, ten users from your company’s financial division want to access the data. To allow access to the blobs only during the month of April, you must suggest a solution. Which security measure ought to be suggested in the recommendation?

• A. shared access signatures (SAS)
• B. Conditional Access policies
• C. certificates
• D. access keys

Correct Answer: A

Q3)You have an on-premises Active Directory domain that is synchronised with an Azure Active Directory (Azure AD) tenant. WebApp1 is an internal web application that is hosted on your premises. WebApp1 makes use of Windows Integrated authentication. Some users access the on-premises network via remote access but do not have VPN access. You must grant single sign-on (SSO) access to WebApp1 to the remote users. What two features ought to be incorporated into the solution? Each right response offers a piece of the answer.

• A. Azure AD Application Proxy
• B. Azure AD Privileged Identity Management (PIM)
• C. Conditional Access policies
• D. Azure Arc
• E. Azure AD enterprise applications
• F. Azure Application Gateway

Correct Answer: A and C

Q4)Several virtual machines are deployed by your business both on-premises and on Azure. ExpressRoute is being set up and deployed for connectivity from on-premises to Azure. There are problems with network connectivity on certain virtual computers. To determine whether packets are being accepted or blocked to the virtual machines, you must evaluate the network traffic. Use Azure Traffic Analytics in Azure Network Watcher to examine network traffic as a solution. Is the objective being met?

• A. Yes
• B. No

Correct Answer: B

Q5)Several virtual machines are deployed by your business both on-premises and on Azure. ExpressRoute is installed and set up for connectivity from on-premises to Azure. There are problems with network connectivity on certain virtual computers. To determine whether packets are being accepted or blocked to the virtual machines, you must evaluate the network traffic. Use Azure Advisor to examine network traffic as a solution. Is the objective being met?

• A. Yes
• B. No

Correct Answer: B

Q6)You are creating a sizable Azure environment with numerous subscriptions. As a component of a governance solution, you intend to employ Azure Policy. Which three scopes are available for Azure Policy definitions assignment? Each accurate response offers an entire resolution.

• A. Azure Active Directory (Azure AD) administrative units
• B. Azure Active Directory (Azure AD) tenants
• C. subscriptions
• D. compute resources
• E. resource groups
• F. management groups

Correct Answer: ACF

Q7)To create a monthly report of all new Azure Resource Manager (ARM) resource deployments in your Azure subscription, you must suggest a solution. What should the recommendation contain in Microsoft Azure Infrastructure Solutions: AZ-305 ?

• A. Azure Activity Log
• B. Azure Advisor
• C. Azure Analysis Services
• D. Azure Monitor action groups

Correct Answer: A

Q8)To create a monthly report of all new Azure Resource Manager (ARM) resource deployments in your Azure subscription, you must suggest a solution. What should the recommendation contain?

• A. an Azure Logic Apps integration account
• B. an Azure Import/Export job
• C. Azure Data Factory
• D. an Azure Analysis services On-premises data gateway
• E. an Azure Batch account

Correct Answer: B and C

Q9)You have a subscription to Azure that includes the programmes App1 and App2. App1 is a programme for processing sales. When an App1 transaction needs to be ship, a message is put to a queue in an Azure Storage account, and App2 scans the queue for pertinent transactions. Additional programmes will be implement in the future that will handle some shipping requests based on the particulars of the transactions. For each additional application to be able to read the pertinent transactions, you must suggest a replacement for the storage account queue. What ought to you suggest?

• A. one Azure Data Factory pipeline
• B. multiple storage account queues
• C. one Azure Service Bus queue
• D. one Azure Service Bus topic

Correct Answer: D

Q10)You are creating a programme that will run on Azure. The programme will store video files with sizes varying from 50 MB to 12 GB. Users will be able to access the application online and it will employ certificate-based authentication. You must suggest a location for the video files to be stored. The solution must minimise storage costs while offering the quickest read speed. What ought to you suggest?

• A. Azure Files
• B. Azure Data Lake Storage Gen2
• C. Azure Blob Storage
• D. Azure SQL Database

Correct Answer: C

Q11)A solution for the Azure IoT Hub that will contain 50,000 IoT devices is what you are designing. Temperature, device ID, and time data will all be stream by each device. Every second, 50,000 records will be written on average. Near real-time visualisation of the data will be use. You must suggest a service that can store and search the data. Which two services would you suggest? Each accurate response offers an entire resolution.

• A. Azure Table Storage
• B. Azure Event Grid
• C. Azure Cosmos DB SQL API
• D. Azure Time Series Insights

Correct Answer: C and D

Q12)To host a stateless web application under an Azure subscription, you must deploy resources. The answer must adhere to the following criteria:
Make the entire.NET framework available. Give backup in case an Azure region fails. Give administrators access to the operating system so they can install the dependencies for special applications. Solution: Along with an Azure Application Gateway, you deploy two Azure virtual machines to two different Azure regions. Is the objective being met in Microsoft Azure Infrastructure Solutions: AZ-305 ?

• A. Yes
• B. No

Correct Answer: B

Q13) To host a stateless web application in an Azure subscription, you must deploy resources. The answer must adhere to the following criteria:
Make the entire.NET framework available. Give backup in case an Azure region fails. Give administrators access to the operating system so they can install the dependencies for special applications. Solution: You set up an Azure Traffic Manager profile and deploy two Azure virtual machines to two different Azure regions. Is the objective being met?

• A. Yes
• B. No

Correct Answer: A

Q14) On a virtual machine hosted by Azure, you have SQL Server. Every night, a batch process is use to write data to the databases. For the data, you must suggest a disaster recovery plan. The answer must adhere to the following criteria:

• Offer the capacity to bounce back in the event of a local outage.

• Support automated recovery, a recovery point target (RPO) of 24 hours, and a recovery time objective (RTO) of 15 minutes. minimise expenses. What should the recommendation contain?

• A. Azure virtual machine availability sets
• B. Azure Disk Backup
• C. an Always On availability group
• D. Azure Site Recovery

Correct Answer: D

Q15)A SQL database design is what you’re doing. Twenty 20 GB databases with various consumption patterns will be part of the solution. You must suggest a database hosting platform for the databases. The answer must adhere to the following criteria: A 99.99% uptime Service Level Agreement (SLA) must be met by the solution. The databases’ allotted computing resources must scale dynamically. There must be reserve capacity in the solution. Reduced compute costs are require. What should the recommendation contain in Microsoft Azure Infrastructure Solutions: AZ-305 ?

• A. 20 Azure SQL databases in an elastic pool
• B. An availability set of 20 databases on a Microsoft SQL server running on an Azure virtual machine
• C. A Microsoft SQL server with 20 databases that is running on an Azure virtual machine
• D. 20 serverless Azure SQL Database instances.

Correct Answer: A

The post Microsoft Azure Infrastructure Solutions: AZ-305 Sample Questions appeared first on Testprep Training Tutorials.

What is Azure Cosmos DB?

• A) A relational database management system
• B) A NoSQL database service
• C) A cloud-based document database
• D) An in-memory data store

Answer: B) A NoSQL database service

Explanation: Azure Cosmos DB is a globally-distributed, multi-model database service provided by Microsoft Azure. It is a NoSQL database, which means that it is designed to handle non-relational data, such as documents, key-value pairs, graph data, and columnar data.

What are the benefits of using Azure Cosmos DB?

• A) Scalability, high availability, and low latency
• B) Advanced security features and data privacy
• C) Both A and B
• D) None of the above

Answer: C) Both A and B

Explanation: Azure Cosmos DB provides a number of benefits to users, including scalability, high availability, and low latency. It also provides advanced security features and data privacy, ensuring that sensitive data is protected and secure. These benefits make Azure Cosmos DB an ideal choice for a wide range of use cases, such as web, mobile, gaming, and IoT applications.

What data models does Azure Cosmos DB support?

• A) Document
• B) Key-value
• C) Graph
• D) All of the above

Answer: D) All of the above

Explanation: Azure Cosmos DB is a multi-model database, which means that it supports multiple data models, including document, key-value, graph, and columnar. This enables users to choose the data model that is best suited to their specific use case, and to easily switch between models as their needs evolve.

What is the purpose of the Azure Cosmos DB query language?

• A) To retrieve data from the database
• B) To update data in the database
• C) To delete data from the database
• D) All of the above

Answer: A) To retrieve data from the database

Explanation: The Azure Cosmos DB query language is used to retrieve data from the database. It provides a flexible and powerful way for users to query and retrieve data, and to filter and aggregate data based on specific criteria. The query language supports a variety of programming languages, including SQL, JavaScript, and MongoDB, making it easy for developers to work with the data in the database.

What is the consistency model in Azure Cosmos DB?

• A) Eventual consistency
• B) Strong consistency
• C) Bounded staleness consistency
• D) All of the above

Answer: D) All of the above

Explanation: Azure Cosmos DB provides a number of consistency options, including eventual consistency, strong consistency, and bounded staleness consistency. This allows users to choose the level of consistency that is appropriate for their specific use case, and to balance consistency, performance, and availability. For example, applications that require low latency and high throughput may choose eventual consistency, while applications that require strong data consistency may choose strong consistency.

What is the role of the Azure Cosmos DB emulator in development and testing?

• A) To allow developers to test their applications locally
• B) To provide a live environment for testing applications
• C) To provide a development environment for building applications
• D) All of the above

Answer: A) To allow developers to test their applications locally

Explanation: The Azure Cosmos DB emulator provides developers with a local environment for testing their applications, without the need for a live connection to the Azure Cosmos DB service. This enables developers to test their applications in a controlled and isolated environment, and to easily simulate different scenarios and test cases. The emulator supports all the features of the Azure Cosmos DB service, making it an ideal tool for development and testing.

What is the purpose of the Azure Cosmos DB partitioning model?

• A) To distribute data across multiple nodes
• B) To improve performance by reducing the amount of data stored on a single node
• C) Both A and B
• D) None of the above

Answer: C) Both A and B

Explanation: The Azure Cosmos DB partitioning model is designed to distribute data across multiple nodes, and to improve performance by reducing the amount of data stored on a single node. This enables the database to scale horizontally and to handle large amounts of data and traffic, while still providing fast and reliable performance. The partitioning model is based on the concept of a partition key, which is used to distribute data across the nodes in the database.

What is the role of the Azure Cosmos DB data migration tool in migrating data to Azure Cosmos DB?

• A) To simplify the process of migrating data from other sources to Azure Cosmos DB
• B) To provide a graphical interface for migrating data to Azure Cosmos DB
• C) Both A and B
• D) None of the above

Answer: C) Both A and B

Explanation: The Azure Cosmos DB data migration tool is designed to simplify the process of migrating data from other sources to Azure Cosmos DB. It provides a graphical interface that makes it easy to select the data to be migrated, and to specify the target database and collection. The tool supports a wide range of data sources, including JSON, MongoDB, Cassandra, and SQL Server, making it easy to migrate data from a variety of sources to Azure Cosmos DB.

What is the purpose of the Azure Cosmos DB global distribution feature?

• A) To replicate data across multiple regions for improved data durability and availability
• B) To improve performance by reducing the amount of data stored on a single node
• C) Both A and B
• D) None of the above

Answer: A) To replicate data across multiple regions for improved data durability and availability Explanation: The Azure Cosmos DB global distribution feature enables users to replicate their data across multiple regions, for improved data durability and availability. This enables users to keep their data close to their users, for fast and reliable access, and to ensure that their data is available even in the event of a regional outage. The global distribution feature provides multi-homing and active-active replication, and enables users to easily configure and manage their global distribution settings.

Question 1

In your Azure Cosmos DB Core (SQL) API account, you have a container named container1 whose contents you wish to make available as reference data for Azure Stream Analytics.

Solution: Use Azure Cosmos DB Core (SQL API) as input and Azure Blob Storage as output to create an Azure Data Factory pipeline. Will this meet the goal?

• A. Yes
• B. No

Answer : B

Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/changefeed-ecommerce-solution

Question 2

In your Azure Cosmos DB Core (SQL) API account, you have a container named container1 whose contents you wish to make available as reference data for Azure Stream Analytics.

Solution: Build an Azure function that uses Azure Cosmos DB Core (SQL) API change feeds as triggers and Azure event hubs as outputs. Will this meet the goal?

• A. Yes
• B. No

Answer : A

Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/changefeed-ecommerce-solution

Question 3

App1 is a SQL API application that reads data from an Azure Cosmos DB Core (SQL) account every minute. With eventual consistency, App1 runs the same read queries every minute. A query in the cache consumes request units (RUs) instead of cache items, and you verify the IntegratedCacheiteItemHitRate metric and the IntegratedCacheQueryHitRate metric, both having values of 0. It is verified that the dedicated gateway cluster has been provisioned and is used in the connection string. You are required to ensure that App1 uses the Azure Cosmos DB integrated cache. What must you configure?

• A. indexing policy of the Azure Cosmos DB container
• B. consistency level of the requests from App1
• C. connectivity mode of the App1 CosmosClient
• D. default consistency level of the Azure Cosmos DB account

Answer : C

Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/integrated-cache-faq

Question 4

In your Azure Cosmos DB Core (SQL) API account, you have a container named container1. There are three-second updates in container1, and you have an Azure Functions app named function1 that should run whenever an item is inserted or replaced. There is a problem with function1 that does not run on each upsert, and you need to ensure that function1 processes each upsert within one second. Which of the given property will you change in the Function.json file of function1?

• A. checkpointInterval
• B. leaseCollectionsThroughput
• C. maxItemsPerInvocation
• D. feedPollDelay

Answer : D

Reference: https://docs.microsoft.com/en-us/azure/azure-functions/functions-bindings-cosmosdb-v2-trigger

Question 5

You have the following query.

SELECT * FROM ׁ

WHERE c.sensor = “TEMP1”

AND c.value < 22 –

AND c.timestamp >= 1619146031231

You must  recommend a composite index strategy for minimizing the request units (RUs) consumed by the query. What will you recommend?

• A. a composite index for (sensor ASC, value ASC) and a composite index for (sensor ASC, timestamp ASC)
• B. a composite index for (sensor ASC, value ASC, timestamp ASC) and a composite index for (sensor DESC, value DESC, timestamp DESC)
• C. a composite index for (value ASC, sensor ASC) and a composite index for (timestamp ASC, sensor ASC)
• D. a composite index for (sensor ASC, value ASC, timestamp ASC)

Answer : A

Reference: https://azure.microsoft.com/en-us/blog/three-ways-to-leverage-composite-indexes-in-azure-cosmos-db/

Question 6

A Cosmos DB Core (SQL) API account will be created that uses customer-managed keys stored in Azure Key Vault, and you need to configure an Azure Key Vault access policy to allow Azure Cosmos DB to access those keys. Which three of the following permissions will you enable in the access policy?

• A. Wrap Key
• B. Get
• C. List
• D. Update
• E. Sign
• F. Verify
• G. Unwrap Key

Answer : ABG

Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/how-to-setup-cmk

Question 7

Apache Kafka must be configured to ingest data from an Azure Cosmos DB Core (SQL) API account. Data from telemetry containers must be added to the Kafka topic IoT, and the data must be stored in compact binary form. Which three of the following configuration items will you include in the solution?

• A. “connector.class”: “com.azure.cosmos.kafka.connect.source.CosmosDBSourceConnector”
• B. “key.converter”: “org.apache.kafka.connect.json.JsonConverter”
• C. “key.converter”: “io.confluent.connect.avro.AvroConverter”
• D. “connect.cosmos.containers.topicmap”: “iot#telemetry”
• E. “connect.cosmos.containers.topicmap”: “iot”
• F. “connector.class”: “com.azure.cosmos.kafka.connect.source.CosmosDBSinkConnector”

Answer : CDF

Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/kafka-connector-sink

https://www.confluent.io/blog/kafka-connect-deep-dive-converters-serialization-explained/

Question 8

To write a dataset, you will use an Azure Cosmos DB (SQL API) sink in an Azure Data Factory data flow. In order to optimise throughput, you need to ensure that 2,000 Apache Spark partitions are used to ingest the data. Which sink setting must be configured?

• A. Throughput
• B. Write throughput budget
• C. Batch size
• D. Collection action

Answer : C

Reference: https://docs.microsoft.com/en-us/azure/data-factory/connector-azure-cosmos-db

Question 9

There is a container named container1 in an Azure Cosmos DB Core (SQL) API account, and a user named User1 needs to be allowed to insert items into container1. The solution must make use of the principle of least privilege. Which of the following roles will you assign to User1?

• A. CosmosDB Operator only
• B. DocumentDB Account Contributor and Cosmos DB Built-in Data Contributor
• C. DocumentDB Account Contributor only
• D. Cosmos DB Built-in Data Contributor only

Answer : A

Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/role-based-access-control

Question 10

In the Log Analytics workspace, you configure the diagnostic settings so that all log information is sent to your Azure Cosmos DB Core (SQL API) account. To identify when provisioned request units per second (RU/s) for resources within the account were modified, you need to identify when they were modified. You wrote the given query.

AzureDiagnostics –

| where Category == “ControlPlaneRequests”

What must be included in the query?

• A. | where OperationName startswith “AccountUpdateStart”
• B. | where OperationName startswith “SqlContainersDelete”
• C. | where OperationName startswith “MongoCollectionsThroughputUpdate”
• D. | where OperationName startswith “SqlContainersThroughputUpdate”

Answer : A

Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/audit-control-plane-logs

Question 11

An Azure Cosmos DB Core (SQL API) account is used to run this query on a container within the account.

SELECT –

IS_NUMBER(“1234”) AS A,

IS_NUMBER(1234) AS B,

IS_NUMBER({prop: 1234}) AS C –

What will be the output of the query?

• A. [{“A”: false, “B”: true, “C”: false}]
• B. [{“A”: true, “B”: false, “C”: true}]
• C. [{“A”: true, “B”: true, “C”: false}]
• D. [{“A”: true, “B”: true, “C”: true}]

Answer : A

Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/sql-query-is-number

Question 12

Before an item is inserted into a container, you need to implement a trigger in Azure Cosmos DB Core (SQL) API. Which two of the following actions must be performed for ensuring that the trigger runs?

• A. Append pre to the name of the JavaScript function trigger.
• B. For each create request, set the access condition in RequestOptions.
• C. Register the trigger as a pre-trigger.
• D. For each create request, set the consistency level to session in RequestOptions.
• E. For each create request, set the trigger name in RequestOptions.

Answer : C

Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/how-to-use-stored-procedures-triggers-udfs

Question 13

In Azure Cosmos DB Core (SQL) API account 1 you have an autoscale throughput account that requires you to run a function when a container in account1 reaches a certain normalized request units per second.

Solution: Configuring an Azure Monitor alert for triggering the function.

Will this meet the goal?

• A. Yes
• B. No

Answer : A

Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/create-alerts

Question 14

In Azure Cosmos DB Core (SQL) API account 1 you have an autoscale throughput account that requires you to run a function when a container in account1 reaches a certain normalized request units per second.

Solution: Configuring the function for having an Azure CosmosDB trigger.

Will this meet the goal?

• A. Yes
• B. No

Answer : B

Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/create-alerts

Question 15

In Azure Cosmos DB Core (SQL) API account 1 you have an autoscale throughput account that requires you to run a function when a container in account1 reaches a certain normalized request units per second.

Solution: Configuring an application for using the change feed processor for reading the change feed and configuring the application for triggering the function.

Will this meet the goal?

• A. Yes
• B. No

Answer : B

Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/create-alerts

Question 16 

HOTSPOT – A Cosmos DB Core (SQL) API account named telemetry stores IoT data in two containers named readings and devices, which is part of your telemetry database.

Documents in readings have the following structure.

1. ✑ id
2. ✑ deviceid
3. ✑ timestamp
4. ✑ ownerid
5. ✑ measures (array)

• – type
• – value
• – metricid

Documents in devices have the following structure.

1. ✑ id
2. ✑ deviceid
3. ✑ owner

• Ownerid
• Emailaddress
• name

4. ✑ brand
5. ✑ model

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

Hot Area:

Answer :

Question 17

DRAG DROP – In your Azure Cosmos DB Core (SQL API) account, you have two containers named container1 and container2, which are configured for multi-region writes.

The following is a sample of a document in container1:

{

“customerId”: 1234,

“firstName”: “John”,

“lastName”: “Smith”,

“policyYear”: 2021

}

The following is a sample of a document in container2:

{

“gpsId”: 1234,

“latitude”: 38.8951,

“longitude”: -77.0364

}

You are required to configure conflict resolution for meeting the following requirements:

• ✑ For container1 you are required to resolve conflicts using the highest value for policyYear.
• ✑ For container2 you are required to resolve conflicts by accepting the distance closest to latitude: 40.730610 and longitude: -73.935242.
• ✑ Administrative effort are supposed to be minimized for implementing the solution.

What will you configure for each container? 

Select and Place:

Answer : 

Question 18

DRAG DROP – You have an app that uses an Azure Cosmos DB Core (SQL API) account to store data. When the app performs queries, it returns large result sets, and you need to paginate the results. Each page of the results should return 80 items. Which three of the given actions are required to be performed in sequence?

Select and Place:

Answer : 

Question 19

You maintain a relational database for a book publisher containing the following tables.

In most cases, a query will list the books for an authorId. In order to replace the relational database with Azure Cosmos DB Core (SQL) API, you must develop a non-relational data model. It is essential that the solution minimizes latency and read operation costs. What must be included in the solution?

• A. Creating a container for Author and for a Book. In each Author document, embedding a bookId for each book by the author. In each Book document embedding an authorId of each author.
• B. Creating Author, Book, and Bookauthorlnk documents in the same container.
• C. Creating a container containing a document for each Author and a document for each Book. In each Book document, embedding an authorId.
• D. Creating a container for Author and for a Book. In each Author document and Book document embedding the data from Bookauthorlnk.

Answer : A

Question 20

HOTSPOT – A container is in your Azure Cosmos DB Core (SQL) API account, and you need the Azure Cosmos DB SDK to use optimistic concurrency to replace a document. What must be included in the code? 

Hot Area:

Answer :

The post Microsoft Azure Cosmos DB(DP-420) Sample Questions appeared first on Testprep Training Tutorials.

Question 1. You are required to create an Azure Storage account, and the data in the account must replicate automatically outside the Azure region.

Which two of the following replications could you use for the storage account? 

• A. zone-redundant storage (ZRS)
• B. read-access geo-redundant storage (RA-GRS) 
• C. locally-redundant storage (LRS)
• D. geo-redundant storage (GRS) 

Correct Answer: BD 

Explanation: D: Azure Storage offers two options to copy data to any secondary region:

• Geo-redundant storage (GRS)
• Geo-zone-redundant storage (GZRS)

B. In GRS- or GZRS-based instances, the data in the secondary region isn’t accessible unless there is a failover to the secondary region. You need to set up your storage account to use the read-access geo-redundant storage (RA-GRS) or read-access geo-zone-redundant storage (RA-GZRS) for reading access to the secondary region.

Reference:

https://docs.microsoft.com/en-us/azure/storage/common/storage-redundancy#redundancy-in-a-secondary-region

Question 2. Which of the given statement serves as an example of Data Manipulation Language (DML)?

• A. REVOKE
• B. DISABLE
• C. INSERT 
• D. GRANT

Correct Answer: C 

Reference: https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-reference-tsql-statements

Question 4. What are the two main characteristics of real-time data processing?

• A. Data is processed periodically
• B. Low latency is expected
• C. High latency is acceptable
• D. Data is processed as it is created

Correct Answer: BD 

Explanation: The real-time processing of data involves capturing data in real-time, processing it in a timely manner, and generating reports in real-time (or near-real-time) based on the results.

Reference: https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/real-time-processing

Question 5.  Which of the given statement serves as an example of Data Manipulation Language (DML)?

• A. REVOKE
• B. DISABLE
• C. CREATE
• D. UPDATE

Correct Answer: D

Reference: https://docs.microsoft.com/en-us/sql/t-sql/statements/statements

Question 6. You are creating an Azure resource for storing data in Azure Table storage.

Which command would you run?

• A. az storage share create
• B. az storage account create 
• C. az cosmos DB create
• D. az storage container create

Correct Answer: D 

Reference: https://docs.microsoft.com/en-us/cli/azure/storage/container?view=azure-cli-latest

Question 7. Your task is modifying a view in a relational database by adding a new column.

Which of the following statement would you use?

• A. MERGE
• B. ALTER 
• C. INSERT
• D. UPDATE

Correct Answer: B

Question 8. Is there a storage solution in Azure that offers native POSIX-compliant access control lists (ACLs)?

• A. Azure Table storage
• B. Azure Data Lake Storage 
• C. Azure Queue storage
• D. Azure Files

Correct Answer: B 

Reference: https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-access-control

Question 9. What type of database is the Azure Database for PostgreSQL?

• A. Platform as a service (PaaS) 
• B. Infrastructure as a service (IaaS)
• C. Microsoft SQL Server
• D. on-premises

Correct Answer: A 

Reference: https://docs.microsoft.com/en-us/azure/postgresql/overview-postgres-choose-server-options

Question 10. Do you know which storage solution offers file and folder level access control lists (ACLs)?

• A. Azure Data Lake Storage 
• B. Azure Queue storage
• C. Azure Blob storage
• D. Azure Cosmos DB

Correct Answer: A 

Explanation: As part of its access control model, Azure Data Lake Storage Gen2 supports both Azure role-based access control (Azure RBAC) and POSIX-like access control lists (ACLs).

Reference: https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-access-control

Question 11. Which of the following can be considered as a characteristic of batch processing?

• A. The data that is ingested during batch processing should be processed as soon as it is received.
• B. Large datasets should be split up into batches of less than 1 GB before it can be processed.
• C. There is a significant time delay between ingestion of the data and obtaining the data processing results. 
• D. Batch processing can only process data that is well-structured.

Correct Answer: D

Question 12. Your company must necessarily implement a relational database in Azure. Which Azure service should you use for minimizing ongoing maintenance?

• A. Azure HDInsight
• B. Azure SQL Database
• C. Azure Cosmos DB
• D. SQL Server on Azure Virtual Machines

Correct Answer: B 

Reference: https://azure.microsoft.com/en-us/services/sql-database/#features

Question 13. It is your responsibility to create a set of SQL queries that administrators will use to troubleshoot an Azure SQL database, and you need to embed documents and query results in a SQL notebook.

What should you be using?

• A. Microsoft SQL Server Management Studio (SSMS)
• B. Azure Data Studio
• C. Azure CLI
• D. Azure PowerShell

Correct Answer: B 

Reference: https://www.mssqltips.com/sqlservertip/5997/create-sql-server-notebooks-in-azure-data-studio/

Question 14. A web application based on e-commerce reads and writes data to an Azure SQL database. What kind of processing does the application use?

• A. stream processing
• B. batch processing
• C. Online Analytical Processing (OLAP)
• D. Online Transaction Processing (OLTP) 

Correct Answer: D 

Explanation: Business or front-end applications rely on OLTP as a persistent data storage system. This system manages day-to-day business operations.

Reference: https://sqlwizard.blog/2020/03/15/sql-server-oltp-vs-olap/

Question 15. When is the most appropriate time for using an Azure Resource Manager template?

• A. for automating the creation of an interdependent group of Azure resources in a repeatable way
• B. for applying Azure policies for multi-tenant deployments
• C. for provisioning Azure subscriptions
• D. for controlling which services and features administrators and developers can deploy from the Azure portal

Correct Answer: A 

Explanation: The infrastructure as code practice, which involves defining the infrastructure you want to deploy, can automate deployments. Use Azure Resource Manager templates to implement infrastructure as code in your Azure solutions (ARM templates). 

You define the infrastructure and configuration of your project in the template, which is a JavaScript Object Notation (JSON) file. This template uses declarative syntax, so you don’t have to write program commands to create the deployment. By defining the properties of the resources in the template, you can deploy them.

Reference: https://docs.microsoft.com/en-us/azure/azure-resource-manager/templates/overview

Question 16. You have recently changed your computer’s public IP address, and you are able to access an Azure SQL database directly from the Internet. It is no longer possible to access the database after changing the IP address, but you can connect to other Azure resources.

What could be a possible cause of this issue?

• A. role-based access control (RBAC)
• B. Dynamic Host Configuration Protocol (DHCP)
• C. Domain Name Service (DNS)
• D. a database-level firewall

Correct Answer: D 

Explanation: You can choose which IP addresses are allowed or denied access to your Azure SQL Server or Azure SQL database using the Azure SQL Database firewall. Before anyone can access an Azure SQL Database, the firewall needs to be configured. SQL server is protected by default from external access. Until you explicitly grant permission through a firewall rule, the database will be accessible.

Reference: https://www.sqlshack.com/configuring-the-azure-sql-database-firewall/

Question 17. Which command-line tool will be required for querying the Azure SQL databases?

• A. sqlcmd 
• B. bcp
• C. azdata
• D. Azure CLI

Correct Answer: A 

Explanation: The sqlcmd utility allows you to enter Transact-SQL statements, system procedures, and script files at the command prompt.

Reference: https://docs.microsoft.com/en-us/sql/tools/overview-sql-tools?view=sql-server-ver15

Question 18. Which of the following statements is an example of Data Definition Language (DDL)?

• A. SELECT
• B. JOIN
• C. UPDATE
• D. CREATE

Correct Answer: D 

Explanation: Data Definition Language (DDL) statements define data structures, and are used to create, alter, or drop data structures in a database. These statements include:

• ALTER
• Collations
• CREATE
• DROP
• DISABLE TRIGGER
• ENABLE TRIGGER
• RENAME
• UPDATE STATISTICS
• TRUNCATE TABLE
• INSERT

Reference: https://docs.microsoft.com/en-us/sql/t-sql/statements/statements

Question 19. Your task is to deploy a software as a service (SaaS) application that needs a relational database for Online Transaction Processing (OLTP).

Which Azure service would you be using to support such an application?

• A. Azure Cosmos DB
• B. Azure HDInsight
• C. Azure SQL Database
• D. Azure Synapse Analytics

Correct Answer: C 

Explanation: Azure SQL Database is a relational database as well as a managed service.

Reference: https://cloud.netapp.com/blog/azure-cvo-blg-azure-database-review-your-guide-for-database-assessment

Question 20. What are two most important benefits of platform as a service (PaaS) relational database offerings in Azure, such as Azure SQL Database?

• A. access to the latest features
• B. complete control over backup and restore processes
• C. in-database machine learning services
• D. reduced administrative effort to manage the server infrastructure

Correct Answer: AD 

Explanation: 

• A: Microsoft Azure SQL Database is a fully managed platform as a service (PaaS) database engine that can upgrade, patch, back up, and monitor databases without user interaction.
• B: With multiple resource types, service tiers, and compute sizes, SQL Database provides predictable performance. There is no downtime with dynamic scalability, intelligent optimization built-in, global scalability, and advanced security features. Instead of managing virtual machines and infrastructure, you can focus on rapid application development and accelerating time-to-market.

Reference: https://docs.microsoft.com/en-us/azure/azure-sql/database/sql-database-paas-overview

The post Microsoft DP-100: Azure Data Fundamentals Sample Questions appeared first on Testprep Training Tutorials.

This Microsoft Azure AZ-204 exam is designed to assess your ability to do the following technical tasks: Developing Azure compute solutions, developing for Azure storage, and integrating Azure security are some of these jobs. Monitoring, debugging, and improving Azure solutions are also included, as well as connecting to and consuming Azure and third-party services. Candidates should also have subject area experience in designing, implementing, testing, and supporting cloud applications and services on Microsoft Azure before taking this exam.

Participating in all phases of cloud development, from establishing requirements to designing, is one of an Azure Developer’s primary tasks. Along with development, deployment, and upkeep. tweaking and monitoring of performance. The article provides a list of Microsoft Azure AZ-204 Sample Questions that cover core exam topics including –

• Develop Azure compute solutions (25-30%)
• Develop Azure compute solutions (25-30%)
• Implement Azure security (15-20%)
• Monitor, troubleshoot, and optimize Azure solutions (10-15%)
• Connect to and consume Azure services and third-party services (25-30%)

What is Azure Virtual Machines used for?

• A) To run virtual machines in the cloud.
• B) To store and manage data in the cloud.
• C) To manage and monitor resources in Azure.

Answer: A) To run virtual machines in the cloud.

Explanation: Azure Virtual Machines is a service that enables organizations to run virtual machines in the cloud. It provides a fast and simple way to create and manage virtual machines, and enables organizations to run a variety of operating systems and applications in the cloud. Azure Virtual Machines supports a variety of operating systems, including Windows, Linux, and macOS, and can be easily integrated with other Azure services, such as Azure App Service and Azure Functions. By using Azure Virtual Machines, organizations can reduce the cost and complexity of managing virtual machines in the cloud, and simplify the deployment and management of their applications and services.

What is Azure Resource Manager (ARM)?

• A) A deployment and management tool for Microsoft Azure resources.
• B) A virtual network in Azure.
• C) An Azure service that provides data storage and retrieval.

Answer: A) A deployment and management tool for Microsoft Azure resources.

Explanation: Azure Resource Manager (ARM) is a deployment and management tool for Microsoft Azure resources. It provides a single management plane to deploy, manage, and monitor all the resources in an Azure solution. ARM templates are JSON files that describe the resources, configuration, and deployment for an Azure solution. By using ARM, organizations can manage their resources in a consistent and predictable manner, automate the deployment and management of their solutions, and monitor their resources in real-time.

What is the purpose of an Azure App Service?

• A) To host web and mobile applications in the cloud.
• B) To store and manage data in the cloud.
• C) To manage and monitor resources in Azure.

Answer: A) To host web and mobile applications in the cloud.

Explanation: Azure App Service is a platform for hosting web and mobile applications in the cloud. It provides a scalable and reliable environment for deploying and managing web and mobile applications, and offers a range of features and services to support the development and deployment of these applications. Azure App Service provides a scalable, secure, and highly available environment for deploying and running applications, and makes it easy to manage and monitor the performance of these applications.

What is Azure Blob Storage used for?

• A) To store and manage data in the cloud.
• B) To host web and mobile applications in the cloud.
• C) To manage and monitor resources in Azure.

Answer: A) To store and manage data in the cloud.

Explanation: Azure Blob Storage is used to store and manage unstructured data, such as text and binary data, in the cloud. It is a scalable and highly available storage solution that provides organizations with a secure and reliable way to store and manage large amounts of data. Azure Blob Storage can be used for a variety of data scenarios, including the storage of documents, images, audio, and video files. By using Azure Blob Storage, organizations can reduce the cost and complexity of managing data storage and retrieval, and improve the performance and scalability of their data storage solutions.

What is the purpose of Azure Functions?

• A) To run code in response to events.
• B) To store and manage data in the cloud.
• C) To manage and monitor resources in Azure.

Answer: A) To run code in response to events.

Explanation: Azure Functions is a serverless compute service that enables organizations to run code in response to events. It provides a way to run event-driven, scalable, and highly available code without having to manage the underlying infrastructure. Azure Functions can be triggered by a wide range of events, including changes in data, message queues, and HTTP requests, and can run code written in a variety of programming languages. By using Azure Functions, organizations can simplify the development and deployment of event-driven applications, and reduce the cost and complexity of managing infrastructure.

What is Azure Cosmos DB used for?

• A) To store and manage globally distributed data.
• B) To host web and mobile applications in the cloud.
• C) To manage and monitor resources in Azure.

Answer: A) To store and manage globally distributed data.

Explanation: Azure Cosmos DB is a globally distributed, multi-model database service that is used to store and manage data. It provides organizations with a highly scalable, highly available, and low-latency data storage solution that supports multiple data models, including document, graph, key-value, and columnar data. Azure Cosmos DB provides a variety of consistency options, including strong, eventual, and session consistency, and enables organizations to easily replicate data to any number of regions to provide low-latency access to data for global users. By using Azure Cosmos DB, organizations can build highly scalable and globally distributed applications with a high degree of confidence in the performance and reliability of their data storage solutions.

What is Azure Virtual Network used for?

• A) To host web and mobile applications in the cloud.
• B) To store and manage data in the cloud.
• C) To securely connect Azure resources to each other.

Answer: C) To securely connect Azure resources to each other.

Explanation: Azure Virtual Network (VNet) is used to securely connect Azure resources to each other. It provides organizations with a way to create a private network in the cloud and control the flow of inbound and outbound network traffic. Azure VNet enables organizations to create secure connections between resources in the cloud, and to connect to on-premises resources through site-to-site or point-to-site VPN connections. By using Azure VNet, organizations can create a secure and highly available network environment in the cloud, and simplify the deployment and management of their network infrastructure.

What is Azure App Service used for?

• A) To host web and mobile applications in the cloud.
• B) To store and manage data in the cloud.
• C) To manage and monitor resources in Azure.

Answer: A) To host web and mobile applications in the cloud.

Explanation: Azure App Service is a fully managed platform for building, deploying, and scaling web and mobile applications in the cloud. It provides organizations with a way to quickly and easily build, deploy, and manage web and mobile applications, and enables developers to focus on writing code instead of managing infrastructure. Azure App Service supports a variety of programming languages, including .NET, Java, Node.js, PHP, and Python, and provides a highly scalable, highly available, and secure environment for running applications. By using Azure App Service, organizations can simplify the development and deployment of their applications, and reduce the cost and complexity of managing infrastructure.

What is Azure Container Instances used for?

• A) To run containers in the cloud without managing infrastructure.
• B) To store and manage data in the cloud.
• C) To manage and monitor resources in Azure.

Answer: A) To run containers in the cloud without managing infrastructure.

Explanation: Azure Container Instances is a service that enables organizations to run containers in the cloud without having to manage infrastructure. It provides a fast and simple way to run containers, and enables organizations to run containers on demand, without having to manage a container orchestration service. Azure Container Instances provides organizations with a highly scalable, highly available, and secure environment for running containers, and can be easily integrated with other Azure services, such as Azure Functions and Azure App Service. By using Azure Container Instances, organizations can reduce the cost and complexity of running containers in the cloud, and simplify the deployment and management of their containerized applications.

What is Azure Monitor used for?

• A) To store and manage data in the cloud.
• B) To manage and monitor resources in Azure.
• C) To host web and mobile applications in the cloud.

Answer: B) To manage and monitor resources in Azure.

Explanation: Azure Monitor is a service that enables organizations to manage and monitor resources in Azure. It provides organizations with a centralized view of their Azure resources, and enables them to monitor the performance and health of their applications and services. Azure Monitor provides a variety of features, including log analytics, performance monitoring, and alerting, and can be used to monitor resources across a variety of services, including Azure VMs, Azure Functions, and Azure App Service. By using Azure Monitor, organizations can gain a deeper understanding of the performance and health of their applications and services, and take proactive measures to address issues and improve performance.

Q1) You are in charge of creating a website. The website will be host in Azure. After the website is launch, you anticipate a huge number of traffic. You must keep the website accessible and responsive while keeping costs low. You must launch the webpage. So, what are your options?

1. Set up a virtual computer to host the website. When the CPU demand is high, configure the virtual machine to automatically scale.
2. Use the Shared service layer to deploy the website to an App Service. Configure the App Service strategy to automatically scale when CPU demand is high.
3. Set up a virtual computer to host the website. When the CPU load is high, use a Scale Set to increase the virtual machine instance count.
4. Use the Standard service tier to deploy the website to an App Service. When the CPU demand is high, configure the App Service strategy to automatically scale.

Correct Answer: Use the Standard service tier to deploy the website to an App Service. When the CPU demand is high, configure the App Service strategy to automatically scale.

Explanation: WAWS (Windows Azure Web Sites) comes in three modes: Standard, Free, and Shared. Even for sites with only one instance, Standard mode has an enterprise-grade SLA (Service Level Agreement) of 99.9% monthly. Standard mode differs from the other ways to purchase Windows Azure Web Sites in that it runs on dedicated instances.

Refer: Best Practices: Windows Azure Websites (WAWS)

Q2) To process Azure Storage blob data, you create an HTTP triggered Azure Function app. An output binding on the blob is used to start the app. After four minutes, the app continues to time out. The blob data must be processed by the program. You must guarantee that the app does not time out and that the blob data is processed. To process the blob data, use the Durable Function async pattern. Is the solution effective in achieving the goal?

• Yes

• No

Correct Answer: No

Explanation: Instead, send the HTTP trigger payload to an Azure Service Bus queue, where it will be handled by a queue trigger function, and you’ll get an HTTP success response right away. Large, long-running functions can result in unanticipated timeouts. Refactor huge functions into smaller function sets that work together and produce results quickly whenever possible, according to general best practices. A webhook or HTTP trigger function, for example, may need an acknowledgment response within a particular time limit; webhooks frequently demand an immediate response. The HTTP trigger payload can be placed in a queue and processed by a queue trigger function. This method allows you to postpone the actual task and respond quickly.

Refer: Best practices for reliable Azure Functions

Q4) You will not be able to return to this section after answering a question. As a result, the review screen will not include these questions. To process Azure Storage blob data, you create an HTTP-triggered Azure Function app. An output binding on the blob is used to start the app.
After four minutes, the app continues to time out. The blob data must be processed by the program. You must guarantee that the app does not time out and that the blob data is processed. Solution: Return an immediate HTTP success response bypassing the HTTP trigger payload into an Azure Service Bus queue to be handled by a queue trigger function. Is the solution effective in achieving the goal?

• Yes
• No

Correct Answer: Yes

Explanation: Large, long-running functions can result in unanticipated timeouts. Refactor huge functions into smaller function sets that work together and produce results quickly whenever possible, according to general best practices. A webhook or HTTP trigger function, for example, may need an acknowledgment response within a particular time limit; webhooks frequently demand an immediate response. The HTTP trigger payload can be placed in a queue and processed by a queue trigger function. This method allows you to postpone the actual task and respond quickly.

Refer: Best practices for reliable Azure Functions

Q5) To process Azure Storage blob data, you create an HTTP triggered Azure Function app. An output binding on the blob is used to start the app. After four minutes, the app continues to time out. The blob data must be processed by the program. You must guarantee that the app does not time out and that the blob data is processed. Solution: Enable the Always On setting and configure the app to use an App Service hosting plan. Is the solution effective in achieving the goal?

• Yes
• No

Correct Answer: No

Explanation: Instead, send the HTTP trigger payload to an Azure Service Bus queue, where it will be handled by a queue trigger function, and you’ll get an HTTP success response right away. Large, long-running functions can result in unanticipated timeouts. Refactor huge functions into smaller function sets that work together and produce results quickly whenever possible, according to general best practices. A webhook or HTTP trigger function, for example, may need an acknowledgment response within a particular time limit; webhooks frequently demand an immediate response. The HTTP trigger payload can be placed in a queue and processed by a queue trigger function. This method allows you to postpone the actual task and respond quickly.

Refer: Best practices for reliable Azure Functions

Q6) You create a software-as-a-service (SaaS) application for managing images. The photographs are uploaded to a web service, which subsequently stores them in Azure Storage Blob storage. General-purpose V2 is the storage account type. When photographs are submitted, they must be processed so that a mobile-friendly version of the image can be created and saved. In less than one minute, the process of creating a mobile-friendly version of the image must begin. You must create the procedure that initiates the photo processing.
Solution: Photo processing should be moved to an Azure Function that is triggered by the blob upload. Is the solution effective in achieving the goal?

• Yes
• No

Correct Answer: Yes

Explanation: Applications can react to events using Azure Storage events. Image or video processing, search indexing, or any file-oriented workflow are examples of common Blob storage event scenarios. Azure Event Grid pushes events to subscribers like Azure Functions, Azure Logic Apps, and even your own HTTP listener.

Refer: Reacting to Blob storage events

Q7) For auditing purposes, the application must access the transaction logs of all modifications to the blobs and blob metadata in the storage account. Only create, update, delete, and copy operations are allowed, and the changes must be kept in the sequence in which they occurred for compliance reasons. The transaction logs must be processed asynchronously. So, what are your options?

1.  Process all Azure Blob storage events by using Azure Event Grid with a subscriber Azure Function app.
2.  Enable the change feed on the storage account and process all changes for available events.
3.  Process all Azure Storage Analytics logs for successful blob events.
4.  Use the Azure Monitor HTTP Data Collector API and scan the request body for successful blob events.

Correct Answer: Enable the change feed on the storage account and process all changes for available events.

Explanation: The goal of the change feed is to give transaction logs of all modifications made to your storage account’s blobs and blob metadata. The change feed provides a read-only log of these modifications that is organized, guaranteed, durable, and immutable. Client applications can read these logs in streaming or batch mode at any time. The change feed enables you to create cost-effective and scalable solutions for processing change events in your Blob Storage account.

Refer: Change feed support in Azure Blob Storage

Q8)You’re working on an Azure Function App that processes photos uploaded to an Azure Blob storage container. After images are submitted, they must be processed as rapidly as possible, with the solution minimising latency. When the Function App is triggered, you write code to process photos. The Function App must be configured. So, what are your options?

1. Use an App Service plan. Configure the Function App to use an Azure Blob Storage input trigger.
2.  Use a Consumption plan. Configure the Function App to use an Azure Blob Storage trigger.
3. Use a Consumption plan. Configure the Function App to use a Timer trigger.
4. Use an App Service plan. Configure the Function App to use an Azure Blob Storage trigger.
5. Use a Consumption plan. Configure the Function App to use an Azure Blob Storage input trigger.

Correct Answer: Use a Consumption plan. Configure the Function App to use an Azure Blob Storage trigger.

Explanation: When a new or updated blob is discovered, the Blob storage trigger starts a function. The function receives the contents of the blob as input. A function app on a single virtual machine (VM) is limited to 1.5 GB of memory on the Consumption plan.

Refer: Azure Blob storage trigger for Azure Functions

Q9)You’re getting ready to publish a website from a GitHub repository to an Azure Web App. A script generates static material for the webpage. You intend to use the continuous deployment functionality of Azure Web Apps. Before the website starts delivering traffic, you must run the static generating script. What are two options for achieving this goal? Each accurate response provides a comprehensive solution. NOTE: One point is awarded for each correct answer.

1.  Add the path to the static content generation tool to WEBSITE_RUN_FROM_PACKAGE setting in the host.json file.
2.  Add a PreBuild target in the websites csproj project file that runs the static content generation script.
3. Create a file named run.cmd in the folder /run that calls a script which generates the static content and deploys the website.
4. Create a file named .deployment in the root of the repository that calls a script which generates the static content and deploys the website.

Correct Answer: Add the path to the static content generation tool to WEBSITE_RUN_FROM_PACKAGE setting in the host.json file and Create a file named .deployment in the root of the repository that calls a script which generates the static content and deploys the website.

Explanation: Your functions can be run straight from a deployment package file in your function app in Azure. To enable your function app to run from a package, just add a WEBSITE RUN FROM PACKAGE setting to your function app settings. Include a.deployment file in the repository root to personalise your deployment. You only need to add a file with the name.deployment and the following content to the root of your repository:
COMMAND TO RUN FOR DEPLOYMENT [config] command = YOUR COMMAND TO RUN FOR DEPLOYMENT This command can simply be used to run a script (batch file) that contains everything you need for your deployment, such as moving files from the repository to the web root directory.

Refer: Run your functions from a package file in Azure

Q10)You’re working on a web application that’s being secure by the Azure Web Application Firewall (WAF). The web app’s traffic is route through an Azure Application Gateway instance that is share by several web apps.  Contoso.azurewebsites.net is the URL for the web app. SSL must be use to secure all traffic. Multiple web apps use the Azure Application Gateway instance.For the web app, you must configure Azure Application Gateway.Which of the two acts should you take? Each accurate response reveals a piece of the solution.

1. In the Azure Application Gateway’s HTTP setting, enable the Use for App service setting.
2.  Convert the web app to run in an Azure App service environment (ASE).
3. Add an authentication certificate for contoso.azurewebsites.net to the Azure Application Gateway.
4. In the Azure Application Gateway’s HTTP setting, set the value of the Override backend path option to contoso22.azurewebsites.net.

Correct Answer: In the Azure Application Gateway’s HTTP setting, enable the Use for App service setting. In the Azure Application Gateway’s HTTP setting, set the value of the Override backend path option to contoso22.azurewebsites.net.

Explanation:The HTTP settings define the ability to specify a host override, which may be applied to any back-end pool during rule construction.
The ability to extract the host name from the back-end pool members’ IP or FQDN. If configured with the option to derive host name from an individual back-end pool member, HTTP settings now enable the option to dynamically pick the host name from the FQDN of a back-end pool member. With multi-tenant services, SSL termination and end-to-end SSL are require. Trusted Azure services, such as Azure App service web apps, do not require whitelisting the backends in the application gateway when using end-to-end SSL.As a result, no authentication certificates are require.

Refer: Configure App Service with Application Gateway

Q11)You’re creating a website that stores data on Azure Blob storage. After 30 days, you configure the Azure Blob storage lifecycle to migrate all blobs to the archive layer. For data older than 30 days, customers have sought a service-level agreement (SLA). The minimal service level agreement (SLA) for data recovery must be document. What type of SLA should you use?

1.  at least two days
2. between one and 15 hours
3. at least one day
4. between zero and 60 minutes

Correct Answer: between one and 15 hours

Explanation: The lowest storage cost is in the archive access tier. However, in comparison to the hot and cool tiers, it has higher data retrieval costs. Depending on the priority of the request, retrieving data from the archive tier can take several hours. In the case of minor objects, a high priority rehydrate may be able to retrieve the object from the archive in less than an hour.

Refer: Hot, Cool, and Archive access tiers for blob data

Q12) You are in charge of creating Azure solutions. When an Azure virtual machine finishes processing data, a message must be sent to a.NET application. The communications must not be kept after the receiving program has processed them. The.NET object that will receive the messages must be implement. Which object do you think you should use?

1. QueueClient
2. SubscriptionClient
3. TopicClient
4. CloudQueueClient

Correct Answer: CloudQueueClient

Explanation: A queue allows a single consumer to handle a message. To access the Azure VM, you’ll need a CloudQueueClient.

Refer: Service Bus queues, topics, and subscriptions

Q13)You already have an Azure storage account where you store enormous amounts of data in various containers. All data from the previous storage account must be copied to the new storage account. The copying procedure must meet the following criteria: Data movement should be automated. Reduce the amount of user input necessary to complete the operation. Ascertain that the data transportation procedure can be recover. What type of material should you use?

1.  AzCopy
2. Azure Storage Explorer
3.  Azure portal
4. .NET Storage Client Library

Correct Answer: AzCopy

Explanation: Using the AzCopy v10 command-line utility, you can copy blobs, folders, and containers between storage accounts. Since the copy operation is synchronous, when the command completes, it means all files have been copied.

Refer: Copy blobs between Azure storage accounts by using AzCopy

Q14)You’re utilising the Azure Cosmos DB SQL API to create an Azure Cosmos DB solution. There are millions of documents in the database. Hundreds of properties can be found in a single document. There are no distinct partitioning values in the document properties. Azure Cosmos DB must scale individual database containers to fulfil the application’s performance requirements by distributing the workload evenly across all partitions over time. You must choose a partition key. Which two partition keys are available to you? Each accurate response provides a comprehensive solution.

1.  a single property value that does not appear frequently in the documents
2.  a value containing the collection name
3.  a single property value that appears frequently in the documents
4.  a concatenation of multiple property values with a random suffix appended
5.  Further, a hash suffix appended to a property value

Correct Answer: a concatenation of multiple property values with a random suffix appended and a hash suffix appended to a property value

Explanation: Concatenating numerous property values into a single artificial partition key property can be use to create a partition key.  Appending a random integer to the end of the partition key value is another way to divide the burden more equitably. You can do parallel write operations across partitions when you distribute items this way.

Refer: Create a synthetic partition key

Q15)You’ve added a new Azure subscription to your account. You are developing an internal website for employees to view sensitive data. For authentication, the website uses Azure Active Directory (Azure AD). For the website, you must use multifactor authentication. Which of the two acts should you take? Each accurate response reveals a piece of the solution.

1. Firstly, configure the website to use Azure AD B2C.
2.  Secondly, in Azure AD, create a new conditional access policy.
3. Next, upgrade to Azure AD Premium.
4. In Azure AD, enable application proxy.
5. In Azure AD conditional access, enable the baseline policy.

Correct Answer:  In Azure AD, create a new conditional access policy.

Explanation: Conditional access policy enables MFA. It’s the most adaptable way to give your users two-step verification. Conditional access policy is a premium feature of Azure AD that only works with Azure MFA in the cloud.

Refer: Plan an Azure Active Directory Multi-Factor Authentication deployment

Q16) You’re working on a Java application that stores key and value data in Cassandra. In the application, you intend to leverage a new Azure Cosmos DB resource and the Cassandra API. To allow provisioning of Azure Cosmos accounts, databases, and containers, you create an Azure Active Directory (Azure AD) group named Cosmos DB Creators. The Azure AD group should not have access to the keys needed to access the data. Access to the Azure AD group must be restrict. Which type of role-based access control should you implement?

1. Firstly, documentDB Accounts Contributor
2. Secondly, cosmos Backup Operator
3. Next, Cosmos DB Operator
4. Cosmos DB Account Reader

Correct Answer: Cosmos DB Operator

Explanation: Cosmos DB Operator is a new RBAC role in Azure Cosmos DB. This new role allows you to create Azure Cosmos accounts, databases, and containers, but it does not grant you access to the keys needed to access the data. This role is intended for circumstances where the ability to allow Azure Active Directory service principals access to control Cosmos DB deployment processes, including the account, database, and containers, is require.

Refer: Azure Cosmos DB Operator role for role-based access control (RBAC) is now available

Q17)You have an Azure Web app and many Azure Function apps in your application. Azure Key Vault stores application secrets such as connection strings and certificates. Secrets should not be kept in the application or runtime environment. Azure Active Directory (Azure AD) changes must be kept to a minimum. You must devise a method for loading application secrets. So, what are your options?

1.  Firstly, create a single user-assigned Managed Identity with permission to access Key Vault and configure each App Service to use that Managed Identity. 
2. Secondly, create a single Azure AD Service Principal with permission to access Key Vault and use a client secret from within the App Services to access Key Vault.
3. Next, create a system assigned Managed Identity in each App Service with permission to access Key Vault.
4. Create an Azure AD Service Principal with Permissions to access Key Vault for each App Service and use a certificate from within the App Services to access Key Vault.

Correct Answer: Create a single user-assigned Managed Identity with permission to access Key Vault and configure each App Service to use that Managed Identity. 

Explanation: For App Service and Azure Functions, use Key Vault references. Only system-assign manage identities are presently supported by Key Vault references. User-created IDs aren’t allowed to be use.

Refer: Use Key Vault references for App Service and Azure Functions

Q18)You have an Azure Web app and many Azure Function apps in your application. Azure Key Vault stores application secrets such as connection strings and certificates. Secrets should not be kept in the application or runtime environment. Azure Active Directory (Azure AD) changes must be kept to a minimum. You must devise a method for loading application secrets. So, what are your options?

1. Firstly, copy blobs to Container2 by using the Put Blob operation of the Blob Service REST API
2. Secondly, create an Event Grid topic that uses the Start-AzureStorageBlobCopy cmdlet
3. Further, use AzCopy with the Snapshot switch to copy blobs to Container2
4. Download the blob to a virtual machine and then upload the blob to Container2

Correct Answer: Create an Event Grid topic that uses the Start-AzureStorageBlobCopy cmdlet

Explanation: The Start-AzureStorageBlobCopy cmdlet begins copying a blob in Azure Storage.

Refer: Start-AzureStorageBlobCopy

Q19)You’re working on an ASP.NET Core site with Azure FrontDoor. Researchers can use the service to create custom weather data sets. Users can download data sets in Comma Separated Value (CSV) format. Every ten hours, the data is update. Based on the Response Header values, specific files must be removed from the FrontDoor cache. Individual assets must be remove from the Front Door cache. Which cache purge method should you use?

1. single path 
2.  wildcard
3. root domain

Correct Answer: single path 

Explanation: In the lists of purge pathways, these forms are supported:

• Purge individual assets by supplying the asset’s full path (without the protocol and domain), as well as the file extension.
• Asterisk () can be use as a wildcard in purging. Purge all subfolders and files under a given folder by specifying the folder followed by /, for example, /pictures/*.
• Purge the root domain of the endpoint by adding “/” to the path.

Refer: Caching with Azure Front Door

Q20)You work as a developer for a SaaS firm that provides a variety of web services. The following conditions must be met by all web services provided by the company:

• Firstly, to gain access to the services, use API Management.
• Secondly, for authentication, use OpenID Connect.
• Next, avoid using your computer anonymously.
• Several web services can be called without any authentication, according to a recent security audit.
• What API Management policy should you use?

1.  jsonp
2. authentication-certificate
3. check-header
4. validate-jwt

Correct Answer: validate-jwt

Explanation: To validate the OAuth token for every incoming request, add the validate-jwt policy.

Refer: Protect an API in Azure API Management using OAuth 2.0 authorization with Azure Active Directory

The post Microsoft Azure AZ-204 Sample Questions appeared first on Testprep Training Tutorials.

With the latest updates in the AZ-900: Microsoft Azure Fundamentals Exam in the English version, it is very important to focus your preparation on the revised AZ-900 study guide and practice questions. Your preparation for the AZ-900 exam should concentrate on developing the skills around Cloud Concepts, Azure architecture and services and Azure management and governance. Also, candidates preparing for the exam are required to exhibit foundational knowledge of cloud concepts and Microsoft Azure. The article provides a list of AZ-900 Sample Exam Questions that cover core exam topics including –

• First, Learn about Cloud Concepts (25 – 30%)
• Second, Understanding Azure Architecture and Services (35 – 40%)
• Third, Overview of Azure Management and Governance (30 – 35%)

AZ-900 Sample Questions

Which of the following is a primary benefit of cloud computing?

• a. Reduced costs
• b. Increased hardware maintenance
• c. Increased data center footprint
• d. Increased physical security

Answer: a. Reduced costs

Explanation: One of the primary benefits of cloud computing is reduced costs. By moving to the cloud, organizations can reduce their hardware and software costs, and pay only for what they use.

Which of the following Azure services is used to build, deploy, and manage applications?

• a. Azure Cosmos DB
• b. Azure Functions
• c. Azure Virtual Machines
• d. Azure ExpressRoute

Answer: b. Azure Functions

Explanation: Azure Functions is a serverless compute service that enables developers to build, deploy, and manage applications without having to worry about infrastructure.

What is the name of the service in Azure that provides identity and access management?

• a. Azure Active Directory
• b. Azure Site Recovery
• c. Azure Backup
• d. Azure Virtual Network

Answer: a. Azure Active Directory

Explanation: Azure Active Directory is the service in Azure that provides identity and access management, allowing users to sign in and access cloud resources.

Which of the following is a type of Azure storage that is optimized for big data analytics workloads?

• a. Azure Blob Storage
• b. Azure Queue Storage
• c. Azure File Storage
• d. Azure Data Lake Storage

Answer: d. Azure Data Lake Storage

Explanation: Azure Data Lake Storage is a type of Azure storage that is optimized for big data analytics workloads, allowing users to store and analyze large amounts of data.

Which of the following is a service in Azure that enables users to manage and secure their network traffic?

• a. Azure Firewall
• b. Azure Traffic Manager
• c. Azure Load Balancer
• d. Azure Content Delivery Network

Answer: a. Azure Firewall

Explanation: Azure Firewall is a service in Azure that enables users to manage and secure their network traffic, allowing them to control access to their applications and resources.

What is the main benefit of using Azure virtual machines (VMs)?

• a. They provide automatic backups of data.
• b. They allow users to scale up or down as needed.
• c. They require less maintenance than physical servers.
• d. They offer increased physical security.

Answer: b. They allow users to scale up or down as needed.

Explanation: One of the main benefits of using Azure VMs is the ability to scale up or down as needed to meet changing demands. This allows users to avoid over-provisioning resources and paying for more than they need.

Which Azure service provides a fully-managed NoSQL database that can be scaled globally?

• a. Azure SQL Database
• b. Azure Cosmos DB
• c. Azure Database for MySQL
• d. Azure Database for PostgreSQL

Answer: b. Azure Cosmos DB

Explanation: Azure Cosmos DB is a fully-managed NoSQL database that can be scaled globally, making it a good choice for applications that require high availability and low latency.

Which Azure service provides a fully-managed Kubernetes container orchestration service?

• a. Azure Kubernetes Service (AKS)
• b. Azure Container Registry
• c. Azure Container Instances
• d. Azure Functions

Answer: a. Azure Kubernetes Service (AKS)

Explanation: Azure Kubernetes Service (AKS) is a fully-managed Kubernetes container orchestration service that makes it easy to deploy and manage containerized applications.

Which Azure service provides a way to manage virtual networks, subnets, and network security groups?

• a. Azure Firewall
• b. Azure Traffic Manager
• c. Azure Load Balancer
• d. Azure Virtual Network

Answer: d. Azure Virtual Network

Explanation: Azure Virtual Network provides a way to manage virtual networks, subnets, and network security groups, allowing users to control traffic flow and secure their applications.

What is the main benefit of using Azure App Service to host web applications?

• a. Automatic scaling
• b. Lower costs than other hosting options
• c. Greater security than other hosting options
• d. More customization options than other hosting options

Answer: a. Automatic scaling

Explanation: One of the main benefits of using Azure App Service to host web applications is automatic scaling, which allows the application to handle increased traffic without manual intervention.

Question 1. A company has an on-premises network containing several servers. The company plans to migrate all the servers to Azure. John has been asked to provide a solution to make sure that some of the servers are available in case a single Azure data center goes offline for an extended period. What must John do in this case?

1. Fault Tolerance
2. Elasticity
3. Scalability
4. Low Latency

Correct Answer: Fault Tolerance

Explanation: Fault tolerance is the property that allows a system to continue operating properly in the event of the failure of (or one or more faults within) some of its components. The Availability Zones expand the level of control for maintaining the availability of the applications and data on the Virtual Machines. The physical separation of Availability Zones within a region safeguards applications and data from data center failures. Moreover, with Availability Zones, Azure offers an uptime of 99.99% for Virtual Machines SLA. Therefore, by architecting solutions to use replicated Virtual Machines in zones, we can protect the applications and data from the loss of a data center.

Refer: Availability options for Azure Virtual Machines

Question2: When we implement a Software as a Service (SaaS)solution, then we become responsible to ________________.

1. Configure high availability
2. Define scalability rules
3. Install the SaaS solution
4. Configure the SaaS Solution

Correct Answer: Configure the SaaS Solution

Explanation: While implementing a Software as a Service (SaaS) solution, you become responsible to configure the SaaS solution. SaaS needs the least amount of management as the cloud provider is responsible to manage everything, allowing the end-user to use the software smoothly. Moreover, Software as a service (SaaS) permits the users to connect to and use cloud-based apps over the Internet like email, calendaring and office tools.

Reference: What is SaaS? and Azure Fundamental Concepts

Question 3: A company that hosts its infrastructure in _________________________ does not require its own data center.

1. Private Cloud
2. Public Cloud
3. Hybrid Cloud
4. Hyper-V Cost

Correct Answer: Public Cloud

Explanation: A company that hosts its infrastructure in a public cloud can close its data centre. The public cloud is one of the most common deployment models. In this case, there is no need to manage local hardware or keep it updated since everything runs on the cloud provider’s hardware. On the other hand, a private cloud is hosted in your own data centre. Therefore, you cannot close your data centre if you are using a private cloud.

Reference: Different types of Cloud Models

Question 4. Which of the following are the characteristics of the public cloud?

(A) Dedicated hardware
(B) Unsecured connections
(C) Limited storage
(D) Metered pricing
(E) Self-service management

1. Only (A) and (B)
2. Only (B) and (C)
3. Only (C) and (D)
4. Only (D) and (E)

Correct Answer: Only (D) and (E)

Explanation: Azure Cloud service offers metered pricing, as we pay for the resources being used. Also, public cloud services offer a self-managed service, as you can use the portal to add, change and also remove the resources as and when needed. Since hardware is shared among public cloud clients, so it is not dedicated. Therefore, connections on the cloud are secured. Also, storage is virtually unlimited on the cloud and in the public cloud, you get pay-as-you-go pricing with no CapEx costs. Also, the public cloud offers self-service management services.

Refer: Types of Cloud Models

Question 5: What should you do when planning to migrate a public website to Azure?

1. Deploying a VPN
2. Paying monthly usage cost
3. Paying to transfer all the website data to Azure
4. Reducing the number of connections on the website

Correct Answer: Paying monthly usage cost

Explanation: In order to migrate to a cloud platform there are some key features to consider when using Azure Websites as your hosting solution.  Like it should be globally available, should have a built-in load balancer and more.

Reference: How to plan your migration to Azure Website

Question 6: An organization intends to migrate all its data and resources to Azure. The migration plan developed requires that only Platform as a Service (PaaS) solutions must be used in Azure. John has been asked to deploy an Azure environment that meets the requirement of the migration plan. John suggests creating an Azure App Service and Azure SQL databases. Does the suggested solution meet the requirement?

1. Yes, the solution meets the requirement
2. No, the solution does not meet the requirement

Correct Answer: Azure App Service and Azure SQL databases are illustrations of Azure PaaS solutions. Thus, the suggested solution meets the requirement.

Reference: SQL Database PaaS Overview

Question7: An organization plans to host an accounting application called App1 that will be used by all the customers of the organization. It was observed that App1 had low usage during the initial three weeks of each month and very high usage during the last week of each month. Which of the following advantages of Azure Cloud Services will support cost management to handle this kind of usage pattern?

1. High availability
2. High latency
3. Elasticity
4. Load balancing

Correct Answer: Elasticity

Explanation: Elasticity offers the ability to provide additional compute resources when needed and reduce them when not required for reducing the costs. One of the examples of elasticity is Autoscaling. Elastic computing provides the ability to quickly expand or decrease computer processing, memory and storage resources to meet changing demands without worrying about capacity planning and engineering for peak usage. Moreover, cloud elasticity offers an organization to not pay for any unused capacity or unused resources.

References: About Elastic Computing

Question 8: An organization plans to migrate a web application to Azure that can be accessed by external users. Peter has been asked to suggest a cloud deployment solution for minimizing the amount of administrative effort in managing the web application. Which of the following should Peter include in the solution to meet the requirement?

1. Software as a Service (SaaS)
2. Platform as a Service (PaaS)
3. Infrastructure as a Service (IaaS)
4. Database as a Service (DaaS)

Correct Answer: Platform as a Service (PaaS)

Explanation: Since, Azure App Service is a platform-as-a-service (PaaS) that allows you to create web and mobile apps for any platform/device and then connect it to data anywhere, in the cloud or on-premises. Also, App Service includes the web and mobile capabilities that were previously delivered separately as Azure Websites and Azure Mobile Services.

Reference: PaaS Application using App Service

Question 9: Which of the given cloud deployment solution is suggested for Azure virtual machines?

1. Infrastructure as a Service (IaaS)
2. Platform as a Service (PaaS)
3. Software as a Service (SaaS)
4. Database as a Service (DaaS)

Correct Answer: Infrastructure as a Service (IaaS)

Explanation: Azure virtual machines are Infrastructure as a Service (IaaS) which is the most flexible category of cloud services. IaaS aims to offer a complete control over the hardware that runs the application including IT infrastructure servers, virtual machines, storage, networks, and operating systems. Therefore rather than buying hardware, with IaaS, we rent it.

Reference: Principles of Cloud Computing

Question 10: You have an on-premises network that contains 100 servers. You need to recommend a solution that provides additional resources to your users. The solution must minimize capital and operational expenditure costs. What should you include in the recommendation?

1. Complete migration to the public cloud
2. Additional data center
3. A private cloud
4. A hybrid cloud

Correct Answer: Hybrid Cloud

Explanation: A hybrid cloud is a combination of a private cloud and a public cloud. Capital expenditure involves spending money up-front for infrastructure like new servers. Also, with a hybrid cloud, we can use the on-premises servers while adding new servers in the public cloud. Moreover, adding new servers in Azure reduces the capital expenditure costs as we will not be paying for new servers which could have been the case if we deployed new server on-premises.

Reference: https://docs.microsoft.com/en-gb/learn/modules/principles-cloud-computing/4-cloud-deployment-models

Question 11: An organization is planning to migrate several servers from an on-premises network to Azure. Which of the following is a benefit of using a public cloud service for the servers over an on-premises network?

1. Public cloud is owned by the public, NOT a private corporation
2. Public cloud is a crowd-sourcing solution that provides corporations with the ability to enhance the cloud
3. All public cloud resources can be freely accessed by every member of the public
4. Public cloud is a shared entity whereby multiple corporations each use a portion of the resources in the cloud

Correct Answer: Public cloud is a shared entity whereby multiple corporations each use a portion of the resources in the cloud

Explanation: Since, the public cloud is a shared entity where multiple corporations can use a portion of the resources in the cloud. Also, the hardware resources (servers, infrastructure etc.) are managed by the cloud service provider. Multiple organization are now building resources such as virtual machines (VMs) and virtual networks on the hardware resources.

Question 12: In which of the given kind of cloud model are all the hardware resources owned by a third party and shared between multiple tenants?

1. Private Cloud
2. Hybrid Cloud
3. Public Cloud
4. Multi-vendor Cloud

Correct Answer: Public Cloud

Explanation: Microsoft Azure, Amazon Web Services (AWS) and Google Cloud are some of the examples of public cloud service providers. Microsoft, Amazon and Google own the hardware. The tenants are the customers who use the public cloud services.

Question13: An organization has 1,000 virtual machines (VMs) hosted on the Hyper-V hosts in a data center. They are planning to migrate all the virtual machines to an Azure pay-as-you-go subscription. John has been asked to suggest the expenditure model to use for the planned Azure solution. Which of the given expenditure model should he choose in this case?

1. Operational
2. Elastic
3. Capital
4. Scalable

Correct Answer: Operational

Explanation: The most significant change that will be face when moving from an on-premises cloud to a public cloud is the switch from capital expenditure (i.e, buying hardware) to operating expenditure (paying for service). Also, this shift requires more careful management of costs and expenditures. The primary advantage of the cloud is that you can positively impact the cost of a service you use by merely shutting down or resizing it when not required

Reference: Microsoft Cloud Adoption Framework for Azure

Question 14: State whether the following statement holds True or False. “A company deploying its own data center is an example of CapEx.”

1. Yes, the statement is correct
2. No, the statement is not correct

Correct Answer: Yes, the statement is correct

Explanation: Deploying your own datacenter is an example of CapEx since it is required to purchase all the infrastructure upfront before it can be used.

Reference: Microsoft Cloud Adoption Framework for Azure

Question 15: A company plans to offer Infrastructure as a Service (IaaS) resources in Azure. Which of the following resources is an example of Infrastructure as a Service (IaaS)?

1. An Azure web app
2. An Azure virtual machine
3. An Azure logic app
4. An Azure SQL database

Correct Answer: Azure virtual machine

Explanation: An Azure virtual machine is an example of Infrastructure as a Service (IaaS). On the other hand, Azure web app, Azure logic app and Azure SQL database are all examples of Platform as a Service (Paas).

Reference: Introduction to IaaS and What is PaaS

Question 16: On which of the following cloud models can we deploy physical servers?

1. Private cloud and Hybrid cloud only
2. Private cloud-only
3. Private cloud, Hybrid cloud and Public cloud
4. Hybrid cloud-only

Correct Answer: Private cloud and Hybrid cloud only

Explanation: Since a private cloud is on-premises therefore we can deploy physical servers. Also, Aa hybrid cloud is a mix of on-premise and public cloud resources. So, we can deploy physical servers on-premises.

Reference: Introduction to Hybrid Cloud

Question 17: A company has 50 Virtual Machines (VMs) hosted on-premises and 50 Virtual Machines (VMs) hosted in Azure. The Azure virtual machines and on-premises virtual machines connect to each other. Which of the following type of cloud model does this represent?

1. Hybrid Cloud
2. Private Cloud
3. Public Cloud

References: Introduction to Hybrid Cloud

Question 18: An organization is planning to migrate all its data and resources to Azure. The migration plan of the organization indicates that only Platform as a Service (PaaS) solutions must be used in Azure. Peter has been asked to deploy an Azure environment that fulfils the company migration plan . Peter suggests to create Azure virtual machines, Azure SQL databases, and Azure Storage accounts to meet the requirement. Does the suggested solution meet the goal?

1. Yes, the solution meets the requirement
2. No, the solution does not meet the requirement

Correct Answer: No, the solution does not meet the requirement

Explanation: Platform as a service (PaaS) offers a complete development and deployment environment in the cloud. PaaS provides infrastructure servers, storage, and networking features as well as middleware, development tools, business intelligence (BI) services, database management systems, and more. PaaS has been designed to support the complete web application lifecycle including building, testing, deploying, managing, and updating. VMs is an examples of Infrastructure as a service (IaaS) with instant computing infrastructure, that is provisioned and managed over the internet.

References: Introduction to PaaS and Introduction to IaaS

Question 19: An organization is planning to deploy several custom applications to Azure. These custom applications offer invoicing services to the customers of the company. Every application will have several prerequisite applications and services installed. Peter has been asked to suggest a cloud deployment solution for all the applications. What of the following should he suggest to meet the requirement?

1. Software as a Service (SaaS)
2. Platform as a Service (PaaS)
3. Infrastructure as a Service (laaS)

Correct Answer: Infrastructure as a Service (laaS)

Explanation: Infrastructure as a service (IaaS) is an instant computing infrastructure, provisioned and managed over the internet. The Infrastructure as a service (IaaS) provider manages the infrastructure, while the organization purchase, install, configure, and manage their own software.

References: Introduction to IaaS

Question 20: Azure Cosmos DB is an example of ___________________.

1. Software as a Service (SaaS)
2. Platform as a Service (PaaS)
3. Infrastructure as a Service (laaS)
4. Functions as a Service (FaaS)

Correct Answer: Platform as a Service (PaaS)

Explanation: Azure Cosmos DB is an example of a platform as a service (PaaS) cloud database provider.

Reference: Azure Cosmos DB resource model

The post Microsoft Azure AZ-900 Sample Questions appeared first on Testprep Training Tutorials.

Exam SC-100 is a certification exam offered by Microsoft for individuals seeking to become a certified Cybersecurity Architect. This exam tests the candidate’s knowledge and skills in designing, implementing, and maintaining secure computing environments using Microsoft technologies and services.

The importance of Exam SC-100 lies in the fact that cybersecurity is an increasingly critical concern in today’s digital landscape. With the rise of cyber threats and the growing reliance on technology, organizations need qualified professionals who can design and implement effective cybersecurity solutions. The certification provides a reliable measure of an individual’s ability to fulfill this role, making them an attractive candidate for job opportunities in the field.

This tutorial provides an overview of the key concepts and skills required to pass Exam SC-100 and become a certified Cybersecurity Architect. It covers topics such as cybersecurity architecture, threat and vulnerability management, security solution design and implementation, incident response, and identity and access management. By following this tutorial, individuals can gain a solid understanding of Microsoft’s approach to cybersecurity and the best practices for implementing effective security solutions.

Exam Overview

The SC-100 Microsoft Cybersecurity Architect exam is aimed towards candidates who have a wide range of knowledge in different areas of Microsoft Security and are able to design and implement security solutions. You will also be expected to be familiar with both hybrid and cloud-only environments and implementations. The exam is an expert level exam so it is not deemed to be easy. You can read the full exam description on the Microsoft exam page here.

After last year’s announcement of the new certifications exams that focus on Security, Compliance, and Identity (SCI) solutions, Microsoft Learning announced a new certification exam to complement the security learning path by introducing the new Microsoft Cybersecurity Architect Expert certification, which expands Azure training and certification portfolio.

To obtain the Cybersecurity Architect Expert certification you need to pass the new SC-100 exam (this study guide) and ONLY ONE of the following four prerequisites security exams:

Option 1: Exam SC-200: Microsoft Security Operations Analyst.

Option 2: Exam SC-300: Microsoft Identity and Access Administrator.

Option 3: Exam AZ-500: Microsoft Azure Security Technologies.

Option 4: Exam MS-500: Microsoft 365 Security Administration.

SC-100 Exam knowledge area:

• Candidates preparing for the Microsoft cybersecurity architect role should have experience building and evolving cybersecurity strategies to defend an organization’s mission and business operations across all areas of the enterprise architecture.
• Secondly, the cybersecurity architect creates a Zero Trust strategy and architecture, including data, application, access management, identity, and infrastructure security techniques.
• They should have the skills to evaluate Governance Risk Compliance (GRC) technological strategies and security operations strategies.
• Lastly, the cybersecurity architect works with executives and practitioners in IT security, privacy, and other positions to create and implement a cybersecurity strategy that fits the organization’s business needs.

Certification prerequisite:

• Candidates must also complete one of the following tests to acquire the Microsoft Cybersecurity Architect certification: SC-200, SC-300, AZ-500, or MS-500. This is something we strongly advise you to complete before taking the Exam. Microsoft Cybersecurity Architect (SC-100).

Exam Details

• There are 40-60 questions in the Microsoft SC-100 exam. 
• Questions on the Microsoft SC-100 can be:
  • scenario-based single-answer questions,
  • multiple-choice questions, arrange in the correct sequence type questions
  • drag & drop questions
  • mark review
  • drag, and drop
• A candidate must, however, achieve a score of 700 or better in order to pass the exam. Furthermore, the exam is only offered in English and will cost you $165 USD.

Exam Course Outline

To assist in better preparation for the SC-100 exam, Microsoft provides a course outline that covers the major sections. This includes the following:

Design solutions that align with security best practices and priorities (20–25%)

Design a resiliency strategy for ransomware and other attacks based on Microsoft Security Best Practices

• Design a security strategy to support business resiliency goals, including identifying and prioritizing threats to business-critical assets (Microsoft Documentation: Define a security strategy, Business resilience)
• Design solutions for business continuity and disaster recovery (BCDR), including secure backup and restore for hybrid and multicloud environments (Microsoft Documentation: Security features to help protect hybrid backups that use Azure Backup)
• Design solutions for mitigating ransomware attacks, including prioritization of BCDR and privileged access (Microsoft Documentation: Backup cloud and on-premises workloads to cloud, Quickly deploy ransomware preventions)
• Evaluate solutions for security updates (Microsoft Documentation: Security design principles)

Design solutions that align with the Microsoft Cybersecurity Reference Architectures (MCRA) and Microsoft cloud security benchmark (MCSB)

• Design solutions that align with best practices for cybersecurity capabilities and controls (Microsoft Documentation: Design solutions that align with security best practices)
• Design solutions that align with best practices for protecting against insider, external, and supply chain attacks
• Design solutions that align with best practices for Zero Trust security, including the Zero Trust Rapid Modernization Plan (RaMP) (Microsoft Documentation: Zero Trust security)

Design solutions that align with the Microsoft Cloud Adoption Framework for Azure and the Microsoft Azure Well-Architected Framework

• Design a new or evaluate an existing strategy for security and governance based on the Microsoft Cloud Adoption Framework (CAF) and the Microsoft Well-Architected Framework (Microsoft Documentation: Microsoft Azure Well-Architected Framework, Microsoft Cloud Adoption Framework for Azure)
• Recommend solutions for security and governance based on the the Microsoft Cloud Adoption Framework for Azure and the Microsoft Well-Architected Framework (Microsoft Documentation: Security in the Microsoft Cloud Adoption Framework for Azure)
• Design solutions for implementing and governing security by using an Azure landing zone
• Design a DevSecOps process that aligns with best practices in the Microsoft Cloud Adoption Framework (CAF)

Design security operations, identity, and compliance capabilities (25–30%)

Design solutions for security operations

• Design a solution for detection and response that includes extended detection and response (XDR) and security information and event management (SIEM) (Microsoft Documentation: extended detection and response (XDR))
• Design a solution for centralized logging and auditing, including Microsoft Purview Audit
• Design monitoring to support hybrid and multicloud environments (Microsoft Documentation: Introduction to hybrid and multicloud)
• Design a solution for security orchestration automated response (SOAR), including Microsoft Sentinel and Microsoft Defender XDR (Microsoft Documentation: What is Microsoft Sentinel?, Microsoft Sentinel SOAR content catalog, Security Orchestration, Automation, and Response (SOAR) in Microsoft Sentinel)
• Design and evaluate security workflows, including incident response, threat hunting, and incident management (Microsoft Documentation: Understand threat intelligence in Microsoft Sentinel)
• Design and evaluate threat detection coverage by using MITRE ATT&CK matrices, including Cloud, Enterprise, Mobile, and ICS (Microsoft Documentation: Understand security coverage by the MITRE ATT&CK framework)

Design solutions for identity and access management

• Design a solution for access to software as a service (SaaS), platform as a service (PaaS), infrastructure as a service (IaaS), hybrid/on-premises, and multicloud resources, including identity, networking, and application controls (Microsoft Documentation: What is PaaS?, IaaS, SaaS, public, private and hybrid clouds)
• Design a solution for Microsoft Microsoft Entra ID, including hybrid and multi-cloud environments
• Design a solution for external identities, including business-to-business (B2B), business-to-customer (B2C), and Decentralized Identity
• Design a modern authentication and authorization strategy, including Conditional Access, continuous access evaluation, risk scoring, and protected actions (Microsoft Documentation: Continuous access evaluation, Azure Active Directory IDaaS in security operations)
• Validate the alignment of Conditional Access policies with a Zero Trust strategy
• Specify requirements to secure Active Directory Domain Services (AD DS) (Microsoft Documentation: Active Directory Domain Services Overview)
• Design a solution to manage secrets, keys, and certificates (Microsoft Documentation: About Azure Key Vault)

Design solutions for securing privileged access

• Design a solution for assigning and delegating privileged roles by using the enterprise access model (Microsoft Documentation: Least privileged roles by task in Azure Active Directory)
• Evaluate the security and governance of Microsoft Entra ID, including Microsoft Entra Privileged Identity Management (PIM), entitlement management, and access reviews
• Evaluate the security and governance of on-premises Active Directory Domain Services (AD DS), including resilience to common attacks
• Design a solution for securing the administration of cloud tenants, including SaaS and multicloud infrastructure and platforms (Microsoft Documentation: Hybrid and multicloud solutions)
• Design a solution for cloud infrastructure entitlement management that includes Microsoft Entra Permissions Management (Microsoft Documentation: Permissions Management, What is entitlement management?)
• Evaluate an access review management solution that includes Microsoft Entra Permissions Management
• Design a solution for Privileged Access Workstation (PAW) and bastion services (Microsoft Documentation: Securing devices as part of the privileged access story, Privileged access deployment)

Design solutions for regulatory compliance

• Translate compliance requirements into a security solution
• Design a solution to address compliance requirements by using Microsoft Purview (Microsoft Documentation: Microsoft Purview compliance portal)
• Design a solution to address privacy requirements, including Microsoft Priva (Microsoft Documentation: Learn about Microsoft Priva)
• Design Azure Policy solutions to address security and compliance requirements (Microsoft Documentation: What is Azure Policy?)
• Evaluate and validate alignment with regulatory standards and benchmarks by using Microsoft Defender for Cloud

Design security solutions for infrastructure (25–30%)

Design solutions for security posture management in hybrid and multicloud environments

• Evaluate security posture by using Microsoft Defender for Cloud, including the Microsoft cloud security benchmark (MCSB) (Microsoft Documentation: Evaluate security posture and recommend technical strategies to manage risk, Introduction to the Microsoft cloud security benchmark)
• Evaluate security posture by using Microsoft Secure Score (Microsoft Documentation: Secure score)
• Design integrated security posture management solutions that include Microsoft Defender for Cloud in hybrid and multi-cloud environments
• Select cloud workload protection solutions in Microsoft Defender for Cloud
• Design a solution for integrating hybrid and multicloud environments by using Azure Arc (Microsoft Documentation: Azure Arc overview)
• Design a solution for Microsoft Defender External Attack Surface Management (Defender EASM) (Microsoft Documentation: Defender EASM Overview)
• Specify requirements and priorities for a posture management process that uses Exposure Management attack paths, attack surface reduction, security insights, and initiatives

Specify requirements for securing server and client endpoints

• Specify security requirements for servers, including multiple platforms and operating systems (Microsoft Documentation: Supported operating systems, platforms and capabilities)
• Specify security requirements for mobile devices and clients, including endpoint protection, hardening, and configuration (Microsoft Documentation: Use security baselines to configure Windows devices in Intune)
• Specify security requirements for IoT devices and embedded systems (Microsoft Documentation: Getting Started with Windows IoT Enterprise)
• Design a solution for securing operational technology (OT) and industrial control systems (ICS) by using Microsoft Defender for IoT
• Specify security baselines for server and client endpoints
• Evaluate Windows Local Admin Password Solution (LAPS) solutions

Specify requirements for securing SaaS, PaaS, and IaaS services

• Specify security baselines for SaaS, PaaS, and IaaS services (Microsoft Documentation: Design a strategy for securing PaaS, IaaS, and SaaS services)
• Specify security requirements for IoT workloads (Microsoft Documentation: Security in your IoT workload)
• Specify security requirements for web workloads
• Specify security requirements for containers (Microsoft Documentation: Security considerations for Azure Container Instances)
• Specify security requirements for container orchestration
• Evaluate solutions that include Azure AI Services Security

Evaluate solutions for network security and Security Service Edge (SSE)

• Evaluate network designs to align with security requirements and best practices
• Evaluate solutions that use Microsoft Entra Internet Access as a secure web gateway
• Evaluate solutions that use Microsoft Entra Internet Access to access Microsoft 365, including cross-tenant configurations
• Evaluate solutions that use Microsoft Entra Private Access

Design security solutions for applications and data (20–25%)

Design solutions for securing Microsoft 365

• Evaluate security posture for productivity and collaboration workloads by using metrics, including Secure Score and Defender for Cloud secure score
• Evaluate solutions that include Microsoft Defender for Office and Microsoft Defender for Cloud Apps
• Evaluate device management solutions that include Microsoft Intune
• Evaluate solutions for securing data in Microsoft 365 by using Microsoft Purview
• Evaluate data security and compliance controls in Microsoft Copilot for Microsoft 365 services

Design solutions for securing applications

• Evaluate the security posture of existing application portfolios
• Evaluate threats to business-critical applications by using threat modeling (Microsoft Documentation: Integrating threat modeling with DevOps)
• Design and implement a full lifecycle strategy for application security
• Design and implement standards and practices for securing the application development process (Microsoft Documentation: Secure development best practices on Azure)
• Map technologies to application security requirements (Microsoft Documentation: Security in the Microsoft Cloud Adoption Framework for Azure)
• Design a solution for workload identity to authenticate and access Azure cloud resources (Microsoft Documentation: Workload identity federation)
• Design a solution for API management and security
• Design solutions that secure applications by using Azure Web Application Firewall (WAF)

Design solutions for securing an organization’s data

• Evaluate solutions for data discovery and classification
• Specify priorities for mitigating threats to data (Microsoft Documentation: Mitigate threats by using Windows 10 security features)
• Evaluate solutions for encryption of data at rest and in transit, including Azure KeyVault and infrastructure encryption
• Design a security solution for data in Azure workloads, including Azure SQL, Azure Synapse Analytics, and Azure Cosmos DB (Microsoft Documentation: What is Azure Synapse Link for Azure Cosmos DB?, Configure and use Azure Synapse Link for Azure Cosmos DB)
• Design a security solution for data in Azure Storage
• Design a security solution that includes Microsoft Defender for Storage and Microsoft Defender for Databases

SC-100: Microsoft Cybersecurity Architect Exam FAQs

Check for faqs here.

Exam Policies

All test-related facts and information, as well as exam-giving methods, are contained in the Microsoft Certification exam policies. According to these exam policies, certain rules must be followed during exam time or at testing venues. The following are some of them:

• Exam retake policy
  • According to this rule, candidates who fail the exam for the first time must wait 24 hours before retaking it. During this time, they can reschedule the exam on the certification dashboard.
  • Secondly, they may be asked to wait at least 14 days before taking the exam again if this happens a second time. However, a 14-day waiting period is imposed between the third and fourth attempts, as well as the fourth and fifth attempts. 
  • Candidates, on the other hand, are limited to five attempts per year. In addition, the 12-month period begins with the first attempt.
• Exam reschedule and the cancellation policy
  • Candidates must reschedule and cancel exam appointments at least 24 hours before the appointment. Furthermore, those who reschedule or cancel less than 24 hours before the appointment will forfeit their exam money.
  • Additionally, if candidates used a voucher purchased by their company, their company may be penalized if they postpone or cancel an appointment less than 24 hours before it.

Microsoft Cybersecurity Architect: SC-100 Exam Study Guide

Are you preparing for the SC-100 Microsoft Cybersecurity Architect certification? This study guide will share with you how to prepare and pass the SC-100: Microsoft Certified Cybersecurity Architect Expert successfully.

The purpose of the study guide is to help you study and gain the experience required to pursue and pass the SC-100 Exam and earn the Microsoft Certified: Cybersecurity Architect Expert certification. Below you will find various study materials and a solid study path to help you plan and take the SC-100 exam.

Microsoft is keeping evolving its learning programs to help you and your career keep pace with today’s demanding IT environments. The new updated role-based certifications will help you to keep pace with today’s business requirements. Microsoft Learning is constantly evolving its learning program to better offer what you need to skill up, prove your expertise to employers and peers, and get the recognition—and opportunities you’ve earned.

Study Guide for Microsoft SC-100 Exam

1. Exam objectives

Candidates must be familiar with the exam objectives in order to get a head start on the Microsoft SC-100 exam preparation. The exam objectives for the Microsoft SC-100 exam contain crucial topics that will help you understand the major portions. This exam assesses your technical ability to do the following tasks:

• Design a Zero Trust strategy and architecture
• Evaluate Governance Risk Compliance (GRC) technical strategies and security operations strategies
• Design security for infrastructure
• Design a strategy for data and applications

So, examine the exam guide to gain a better understanding of the topics and to boost your preparation.

2. Microsoft Learning Partners

Whether you’re an individual trying to further your career or a manager looking to improve your team’s cloud abilities, Microsoft Learning Partners has a variety of training options to match your needs, including blended learning, in-person, and online. Around the world, Microsoft Learning Partners have met program requirements to teach Microsoft-developed training content provided by Microsoft Certified Trainers.

3. Microsoft Docs

The Microsoft documentation is a knowledge base that contains in-depth information regarding the subjects covered in the SC-100 exam. You may also learn about the various sizes of different Azure services by reading Microsoft documentation. This is made up of modules that will help you learn lots about the many services and ideas included in the test.

4. Online Study Groups

Collaborating with others who are also preparing for the exam can be helpful in providing additional insights, answering questions, and sharing resources.

5. Gain hands-on experience

Microsoft offers a range of technologies and services related to cybersecurity, such as Azure Active Directory, Azure Security Center, and Microsoft Defender for Endpoint. Try to gain hands-on experience with these tools to better understand how they work and how they can be used to secure computing environments.

6. Study cybersecurity concepts

In addition to Microsoft technologies, you will also need a solid understanding of cybersecurity concepts such as threat and vulnerability management, security architecture, and incident response. Consider taking courses or reading books on these topics to strengthen your knowledge.

7. Practice Tests

Practice examinations are essential for improving your preparedness. You will learn about your weak and strong areas by testing yourself with Microsoft SC-100 practice exams. You will also be able to enhance your response abilities, which will help you to save time on the test. After you’ve completed a full topic, it’s advisable to take the SC-100 exam practice exams. This will also help with revision efficiency. Go online to get the greatest practice exam tests to help you prepare for the certification exam.

The post Exam SC-100: Microsoft Cybersecurity Architect appeared first on Testprep Training Tutorials.

The Microsoft Exam AZ-305: Designing Microsoft Azure Infrastructure Solutions certification course demonstrates your ability in devising designs for safe, scalable, and dependable Azure solutions, among other things. To pass the interview, candidates must have knowledge of Azure solutions including computing, network, storage, monitoring, and security. Moreover, you must be able to interact with stakeholders, convert business needs into designs for safe, scalable, and dependable Azure Solutions, and more. Additionally, if you want to revise the concepts and know about other preparation resources, you can go through the Microsoft Exam AZ-305 Online tutorial as well. 

Preparing for the Microsoft Exam AZ-305 interview may involve thinking about which questions will be asked. Even though you can’t predict what topics will be discussed, there are several common interview questions you ought to be prepared for. Here is a list of top Microsoft Exam AZ-305 Interview Questions. Let’s begin!

Advanced Interview Questions

Can you explain the different deployment models in Azure and which one would you recommend for a large enterprise organization?

There are four primary deployment models in Azure, which are as follows:

1. Public Cloud: The public cloud deployment model refers to hosting and managing resources in Azure’s public cloud environment. Organizations can use a range of services, such as virtual machines, storage, and databases, in this model.
2. Private Cloud: A private cloud deployment model refers to the use of dedicated resources for a specific organization. These resources can be hosted in a data center or on-premise and managed by the organization.
3. Hybrid Cloud: The hybrid cloud model combines both public and private cloud models. In this model, an organization can use both on-premises and cloud-based resources, thereby enjoying the advantages of both environments.
4. Multi-cloud: The multi-cloud model is similar to the hybrid cloud model, except that it involves using multiple cloud providers instead of just one.

When it comes to recommending a deployment model for a large enterprise organization, it’s essential to consider several factors, such as business requirements, compliance regulations, security, and scalability. In general, most large organizations prefer a hybrid cloud model that allows them to have better control over their sensitive data and applications while leveraging the benefits of public cloud resources. By using a hybrid cloud, an organization can also scale resources as needed, reduce latency, and achieve cost savings by optimizing resource utilization.

Overall, selecting the right deployment model for an organization depends on various factors and requires careful consideration. Still, a hybrid cloud model is often the best fit for large enterprise organizations.

How would you approach designing a disaster recovery plan for a mission-critical application in Azure?

Designing a disaster recovery plan for a mission-critical application in Azure involves several key steps. Here’s a high-level overview of how I would approach the process:

1. Identify the critical components of the application: The first step in designing a disaster recovery plan is to identify the critical components of the application. This includes everything from the application itself to the underlying infrastructure, such as databases, virtual machines, and networking components.
2. Determine the recovery objectives: Once you’ve identified the critical components of the application, the next step is to determine the recovery objectives. This involves defining the recovery point objective (RPO) and recovery time objective (RTO) for each component. The RPO defines the maximum amount of data loss that can be tolerated, while the RTO defines the maximum amount of downtime that can be tolerated.
3. Choose a disaster recovery strategy: With the recovery objectives in mind, the next step is to choose a disaster recovery strategy. There are several options available in Azure, including Azure Site Recovery, Azure Backup, and Azure VM replication. Each of these options has its own strengths and weaknesses, so it’s important to choose the one that best meets the recovery objectives.
4. Implement the disaster recovery plan: Once the disaster recovery strategy has been chosen, it’s time to implement the plan. This involves configuring the necessary components, such as setting up replication, configuring backup policies, and configuring failover mechanisms.
5. Test the disaster recovery plan: Testing the disaster recovery plan is crucial to ensure that it will work as expected when it’s needed. This involves running regular tests to simulate a disaster and verifying that the application can be recovered within the defined RPO and RTO.
6. Monitor and update the disaster recovery plan: Finally, it’s important to monitor the disaster recovery plan on an ongoing basis and update it as needed. This includes monitoring the health of the underlying infrastructure, ensuring that backups and replication are occurring as expected, and making changes to the plan as the application evolves over time.

By following these steps, you can design a disaster recovery plan for a mission-critical application in Azure that provides the level of protection and resilience that your organization requires.

How do you ensure high availability and reliability of Azure services for customers?

Microsoft Azure has a multi-layered approach to ensure high availability and reliability of its services for customers. Here are some ways:

1. Data center redundancy: Azure has multiple data centers in different regions across the globe. These data centers are equipped with redundant power supplies, cooling systems, and network connectivity. If one data center fails, traffic is automatically redirected to another one without any disruption to the service.
2. Load balancing: Azure uses load balancing to distribute traffic evenly across multiple servers. This ensures that no single server becomes overloaded, leading to performance degradation or downtime.
3. Auto-scaling: Azure allows customers to automatically scale their applications up or down based on demand. This ensures that there are always enough resources available to handle the workload.
4. Monitoring and alerting: Azure constantly monitors its services for issues and alerts customers if there is an outage or any other issue. This allows customers to take corrective action before the issue becomes a major problem.
5. Disaster recovery: Azure has built-in disaster recovery capabilities that allow customers to replicate their data and applications to another region. This ensures that in the event of a disaster, customers can quickly switch to the replicated resources without any loss of data or downtime.

Overall, Azure employs a combination of data center redundancy, load balancing, auto-scaling, monitoring and alerting, and disaster recovery to ensure high availability and reliability of its services for customers.

Can you describe the different storage options available in Azure and their use cases?

Azure offers various storage options for storing data, files, and objects. Each storage option serves different purposes and use cases. Here are some of the different storage options available in Azure:

1. Azure Blob Storage: Azure Blob Storage is a highly scalable and cost-effective storage option for unstructured data such as images, videos, documents, and logs. It supports different tiers of storage, including hot, cool, and archive, based on data access patterns and retention requirements. It also provides features such as encryption, versioning, and lifecycle management.
2. Azure Files: Azure Files is a fully managed cloud file share service that allows users to store and share files using the SMB protocol. It provides a simple and flexible way to migrate on-premises file shares to the cloud and enable hybrid scenarios. It also supports features such as encryption, snapshots, and backups.
3. Azure Table Storage: Azure Table Storage is a NoSQL key-value store that provides a schema-less data model and supports massive scalability. It is designed for storing structured data such as user profiles, product catalogs, and IoT telemetry data. It also provides features such as indexing, partitioning, and replication.
4. Azure Queue Storage: Azure Queue Storage is a messaging service that enables asynchronous communication between components or services. It provides a reliable and scalable way to decouple different parts of a distributed system and improve performance, resilience, and scalability. It also supports features such as visibility timeouts, message expiration, and poison message handling.
5. Azure Disk Storage: Azure Disk Storage is a persistent block storage service that provides high-performance and low-latency storage for virtual machines (VMs) and other compute resources. It supports different disk types such as Standard HDD, Standard SSD, and Premium SSD, based on performance and availability requirements. It also provides features such as snapshots, backups, and encryption.
6. Azure Archive Storage: Azure Archive Storage is a low-cost storage option for long-term data retention and compliance. It is designed for infrequently accessed data that needs to be stored for years or decades. It provides a secure and durable way to store data while reducing storage costs. However, it has longer retrieval times and access fees compared to other storage options.

Overall, the choice of storage option depends on the type of data, the access patterns, the performance requirements, the compliance and security needs, and the budget constraints. Azure provides a wide range of storage options to meet different use cases and scenarios.

How would you design a secure network architecture in Azure to protect against cyber threats and attacks?

1. Identify the critical assets: The first step is to identify the assets that are critical to the organization. These assets should be identified and then isolated from the rest of the network to reduce the attack surface.
2. Use a defense-in-depth strategy: Employ a multi-layered security approach by deploying different types of security controls at various layers of the network architecture. For example, use firewalls, intrusion detection and prevention systems, and network segmentation.
3. Encrypt data in transit and at rest: Ensure that data is encrypted both in transit and at rest. Use Transport Layer Security (TLS) to encrypt data in transit and encrypt data at rest using Azure Storage Service Encryption.
4. Use Azure Security Center: Azure Security Center provides a unified security management solution that enables you to monitor and improve the security of your Azure resources.
5. Monitor for threats: Implement continuous monitoring of the network and security controls to detect threats and attacks. Use Azure Security Center to monitor the network, identify threats, and take corrective action.
6. Update regularly: Regularly update software and security patches to ensure that the network is up-to-date and protected against new vulnerabilities.
7. Conduct security audits: Conduct regular security audits to identify and remediate security vulnerabilities.
8. Train employees: Train employees on how to identify and report potential cyber threats and attacks.

By following these tips, you can design a secure network architecture in Azure that is protected against cyber threats and attacks.

Can you explain the difference between Azure Virtual Machines and Azure Functions and when to use each one?

Azure Virtual Machines (VMs) and Azure Functions are two different services offered by Microsoft Azure for different purposes. Here’s a brief explanation of each service and when to use them:

Azure Virtual Machines (VMs): Azure VMs are essentially virtual computers that you can rent from Azure. They allow you to create and run a virtual machine in the cloud, with full control over the operating system, applications, and data. You can choose from a range of pre-configured VM sizes, or create custom VM sizes to suit your specific needs. Azure VMs are ideal for running applications that require full access to the underlying operating system and hardware resources, such as SQL Server, SharePoint, and other enterprise-level applications.

When to use Azure VMs:

• Running enterprise-level applications that require full access to the operating system and hardware resources
• Running legacy applications that cannot be easily migrated to a cloud-native architecture
• Hosting custom applications that require specific software configurations or dependencies

Azure Functions: Azure Functions is a serverless compute service that lets you run code on-demand without having to worry about managing the infrastructure. You can write code in a variety of programming languages, such as C#, Java, Python, and Node.js, and trigger it using various events, such as HTTP requests, timers, or messages from other Azure services. Azure Functions scales automatically to handle high volumes of requests, and you only pay for the time your code runs.

When to use Azure Functions:

• Building event-driven applications that respond to specific triggers or events
• Automating business processes or workflows using Azure Logic Apps
• Building microservices that can be easily scaled and deployed independently

In summary, Azure VMs are ideal for running enterprise-level applications that require full access to the operating system and hardware resources, while Azure Functions are ideal for building event-driven applications and automating business processes or workflows.

How do you monitor and optimize Azure resources to ensure cost-effectiveness and performance?

1. Use Azure Cost Management and Billing: Azure Cost Management and Billing can help you monitor and control your Azure spending. It provides a comprehensive view of your Azure costs and usage across all your subscriptions. You can use it to identify cost-saving opportunities, optimize your resource usage, and set up budget alerts to prevent overspending.
2. Right-size your resources: You can optimize your Azure resources by right-sizing them. This means that you should choose the appropriate size for your virtual machines, databases, and other resources based on your workload requirements. This will help you avoid paying for resources you don’t need, which can reduce your Azure spending.
3. Use Azure Advisor: Azure Advisor is a free service that provides personalized recommendations to help you optimize your Azure resources. It can help you identify unused resources, enable cost-saving features, and improve the performance of your applications.
4. Monitor your resource utilization: You can use Azure Monitor to track the performance and utilization of your Azure resources. This can help you identify performance issues and optimize your resource usage. Azure Monitor provides insights into the health and performance of your applications, as well as detailed telemetry data.
5. Use automation to optimize your resources: You can use automation tools like Azure Automation, Azure Functions, and Azure Logic Apps to automate resource provisioning, configuration, and management. This can help you optimize your resource usage, reduce manual errors, and improve the efficiency of your operations.

By implementing these strategies, you can ensure that your Azure resources are cost-effective and perform optimally.

Can you describe the benefits and limitations of using Azure DevOps for continuous integration and continuous deployment (CI/CD)?

Benefits of using Azure DevOps for CI/CD:

1. Integration: Azure DevOps provides a comprehensive set of tools that can be integrated seamlessly with various development platforms, including GitHub, Bitbucket, and Azure Repos. This enables developers to work in their preferred environment while still taking advantage of Azure DevOps’ features.
2. Continuous delivery: Azure DevOps enables continuous delivery by automating the entire deployment process, including testing, deployment, and release. This helps reduce the time and effort required to deploy software updates, ensuring faster time-to-market and higher customer satisfaction.
3. Agile methodologies: Azure DevOps supports agile methodologies, enabling developers to collaborate efficiently and streamline their workflows. This results in faster and more effective software development and deployment.
4. Scalability: Azure DevOps is highly scalable and can accommodate projects of any size, from small teams to enterprise-level applications.
5. Customization: Azure DevOps provides a high degree of customization, enabling developers to configure their CI/CD pipelines according to their specific requirements.

Limitations of using Azure DevOps for CI/CD:

1. Learning curve: Although Azure DevOps is user-friendly, it can be challenging for developers who are not familiar with the platform. Developers may need to undergo training to effectively use the platform.
2. Cost: Azure DevOps can be costly, especially for small organizations or startups. However, Microsoft provides various pricing plans that cater to different budgets.
3. Limited third-party integrations: While Azure DevOps provides a range of integration options, it may not support all third-party tools and platforms.
4. Complex projects: Azure DevOps may not be suitable for complex projects with multiple dependencies and intricate workflows. Developers may need to explore other options or use a combination of tools to manage such projects effectively.
5. Security concerns: As with any cloud-based platform, security concerns may arise when using Azure DevOps for CI/CD. Developers need to take appropriate measures to ensure the security of their applications and data.

Can you explain how Azure supports hybrid cloud deployments and what considerations should be taken when designing hybrid architectures?

Azure provides robust support for hybrid cloud deployments, allowing businesses to seamlessly integrate on-premises infrastructure with Azure services. With Azure, businesses can run applications on either Azure or on-premises servers and manage them through a unified console. Here are some of the ways Azure supports hybrid cloud deployments:

1. Hybrid connectivity: Azure offers a range of connectivity options, including site-to-site VPN, ExpressRoute, and Azure Virtual WAN, that enable businesses to establish secure connections between on-premises infrastructure and Azure.
2. Hybrid identity: Azure Active Directory (Azure AD) enables businesses to extend on-premises Active Directory to the cloud, providing a single identity for users across both environments.
3. Hybrid data: Azure provides a range of data services that can be used to store and manage data in hybrid environments, including Azure SQL Database, Azure Cosmos DB, and Azure Data Lake Storage.
4. Hybrid management: Azure offers a unified management console that allows businesses to manage both on-premises infrastructure and Azure services from a single interface.

When designing hybrid architectures, there are several considerations to keep in mind:

1. Security: Security should be a top consideration when designing a hybrid architecture. Businesses must ensure that data is secure both in transit and at rest and that access to resources is tightly controlled.
2. Performance: Hybrid architectures can introduce latency and other performance issues. Businesses must ensure that their hybrid architectures are designed to minimize these issues.
3. Scalability: Hybrid architectures must be designed to scale as demand grows. Businesses must consider how to scale both on-premises infrastructure and Azure services to meet demand.
4. Data integration: Businesses must ensure that data is integrated seamlessly across on-premises and cloud environments. This may require the use of integration services such as Azure Logic Apps or Azure Data Factory.

Overall, Azure provides a robust platform for hybrid cloud deployments, enabling businesses to leverage the benefits of both on-premises infrastructure and cloud services. By carefully considering the above factors, businesses can design hybrid architectures that are secure, performant, scalable, and well-integrated.

How do you ensure compliance with regulatory and industry standards when deploying applications in Azure?

Deploying applications in Azure requires adherence to regulatory and industry standards. Here are some steps to ensure compliance:

1. Identify the applicable regulations and industry standards for the application. These could include HIPAA, GDPR, ISO 27001, and others.
2. Review Azure’s compliance certifications and attestations to determine whether they cover the regulations and industry standards that apply to your application.
3. Implement Azure’s built-in security features and configurations. Azure provides a range of security features, such as network security groups, role-based access control, and Azure Security Center, that can help you meet compliance requirements.
4. Use encryption for data at rest and in transit. Azure offers encryption for both types of data, and it’s crucial to enable it to protect sensitive information from unauthorized access.
5. Establish monitoring and auditing procedures to detect and report any potential security breaches or compliance violations. Azure’s auditing and monitoring tools can be used to track and analyze events and logs and enable compliance reporting.
6. Conduct regular compliance assessments and audits to ensure ongoing adherence to regulations and industry standards.

In conclusion, deploying applications in Azure while ensuring regulatory and industry standards compliance requires proper identification of the applicable regulations, implementing security features, encrypting data, monitoring and auditing, and regular assessments and audits.

Basic Interview Questions

1. What is meant by the term Gateway Routing pattern?

Gateway routing is a pattern for exposing multiple microservices on a single endpoint and routing those requests to internal backend microservices based on the request. The gateway routing pattern exposes a single endpoint to the external world while routing different requests to different internal microservices.

2. What is the minimum log level for minimum debug?

System-level ERROR is the minimum value to see any debug logs. However,  most people usually make use of the default logging level. Therefore, the usual recommendation is DEBUG.

3. What data does Azure monitor collect?

• Logs and metrics from the Azure platform and resources
• Custom applications
• Agents running on virtual machines

4. Could you tell me what all can be monitored with Azure monitor?

Azure Virtual Desktop Insights leverages Azure Monitor dashboards to provide information about the performance, health, and dependencies of a deployment’s VMs and other resources. Azure Monitor Workbooks can help IT professionals understand the performance and health of their virtual machines (VMs) in Azure Virtual Desktops, as well as monitor their processes and dependencies on other resources.

5. What is the difference between Azure Monitor and log analytics?

The Azure Monitor name reflects the fact that it is one of the solutions for monitoring Azure resources and hybrid environments. Current applications included in Application Insights have been re-named Log Analytics and moved to Azure Monitor (along with other features), to give a single integrated experience.

6. How would you explain the role-based access control RBAC in Azure?

Azure role-based access control (Azure RBAC) is a system that allows you to manage permissions for Azure resources. It does this by providing a way to segregate duties within your team and grant only the amount of access to users that they need to perform their jobs.

7. What are the three types of RBAC controls in Azure?

• Reader
• Contributor
• Owner

8. Could you elaborate on the use of Microsoft Identity Manager?

In essence, MIM synchronizes identity data between various systems. It is highly flexible in what it connects to—any directory service, email system, ERP system, or others. And which objects are synchronized: users, groups, roles and permissions, computers, etc.

9. What is replacing Microsoft MIM?

MIM is getting replaced entirely with Microsoft cloud functionality (Azure AD)

10. Can you tell me something about the top-level organizational structure in Azure?

The root Management Group is the top level of your Azure subscription. It contains all managed subscriptions and the various Azure resources. The root Management Group cannot be removed or moved. You can create up to six levels of management groups.

11. What is Azure resource hierarchy?

Azure provides four levels of management: 

• Management groups
• Subscriptions
• Resource groups
• Resources

12. Why do we use Azure key vault?

• Secrets Management – Azure Key Vault is primarily used for securely storing and strictly controlling the access to tokens, passwords, certificates, API keys, and other secrets.
• Key Management – Azure Key Vault is also used as a Key Management solution

13. Could you explain the working of a key vault?

Key Vault provides a cloud-based key management solution. It allows users to create and control keys used to encrypt data. It then allows them to combine Key Vault with other services, which allows for the decryption of secrets without the knowledge of the encryption keys.

14. What is Azure SQL managed instance used for?

Through Azure Active Directory integration, SQL Managed Instance allows you to manage the identities of database users and other Microsoft services centrally.

15. What are the options for managed SQL databases on Azure?

Azure SQL is available via three deployment models:

• Single Database – Managed with a SQL database server and deployed to an Azure VM. 
• Elastic Pool – An association of connected databases sharing resources.
• Managed Instance – An instance of the database that is fully managed.

16. Is Microsoft Dataverse the same as the Common data service?

Common Data Service (CDS) which is primarily the data storage system that is used for intensifying Dynamics 365 and Power Platform has undergone a name change and is now called a Dataverse as a part of a bigger rebrand at Microsoft. Essentially it does the same thing as CDS, however, with a different name.

17. How are NoSQL databases different from relational databases?

NoSQL designs prioritize non-relational data storage over relational databases. In other words, NoSQL databases use any number of methods—or a combination of methods—to store data in a decentralized, non-traditional way.

18. How would you explain RTO and RPO in disaster recovery?

RPO represents how long data will be protected after it has been recovered. In practice, the RPO indicates the amount of time (amount of downtime) it will take a business to re-enter or type in data that was lost due to a system outage. RTO is the amount of time that a business can tolerate being down.

19. Which Azure storage option is better for storing data for Backup and restore disaster recovery and archiving?

Microsoft Azure Blob Storage provides all the capabilities of a fully hosted and managed object store, including backup and disaster recovery for Azure IaaS disks. You can also use Blob Storage to back up other resources in Azure, like on-premises or virtual machines, or you can use Blob Storage to back up other resources on-premises or on computers running Windows Server. 

20. Could you differentiate between the Azure SQL Database and Azure SQL managed instance?

SQL Managed Instance enables native Virtual Network integration, whereas Azure SQL Database allows for restricted Virtual Network access via VNet Endpoints. The former solution is based on an instance-scoped configuration model, similar to that of an on-premises SQL Server, whereas the latter is available over a cloud-based service.

21. What is a virtual machine in cloud computing?

Virtual machines are computers that exist only as software. Virtual machines can run applications, store data, connect to networks, and do other computing functions. VMs require maintenance such as updates and system monitoring.

22. What are the main stages to migrate into the Azure cloud?

• Discovering: Cataloging the software and workloads.
• Assessing: Categorizing the applications and workloads.
• Targeting: Identifying the destination(s) for each workload.
• Migrating: Making the actual move.

23. Could you explain why we use serverless computing?

Compared to traditional cloud-based infrastructure or server-centric infrastructure, serverless computing offers many advantages. These advantages include scalability, flexibility, and quick time to release. All of these things are possible at a reduced cost.

24. What is the difference between cloud computing and serverless computing?

A cloud computing infrastructure is a shared network of remote servers that can be accessed from different locations. Serverless computing is a pay-as-you-go model. Only the part of the application that runs on a serverless service is paid for.

25. What are the six perspectives presented in the cloud adoption framework?

• Business
• People
• Governance
• Platform
• Security
• Operations

26. What is the benefit of using the Azure database migration service?

Azure Database Migration Service helps you migrate from multiple database sources to Azure Data platforms with minimal downtime. The service generates assessment reports that provide recommendations for changes you may need to make before migration begins.

27. What are the valid destination services for Azure database migration service?

• SQL Server
• MySQL
• PostgreSQL
• MongoDB
• Oracle

28. How would you describe network performance tuning?

Network performance tuning/configuring facilities enable administrators to configure combinations of LANs and WANs centrally and automatically based on anticipated traffic volumes. This results in optimal use of the available bandwidth.

29. What are the types of load balancers in Azure?

• Public load balancers
• Internal load balancers

30. Could you explain how the load balancer work in Azure?

• Health probes can be used to monitor load-balanced resources
• It also supports port forwarding for accessing virtual machines in a virtual network by public IP address and port
• Filters, groups, and breaks out metrics for a specific dimension on a multidimensional basis

The post Microsoft Exam AZ-305: Designing Microsoft Azure Infrastructure Solutions Interview Questions appeared first on Testprep Training Tutorials.

The Microsoft Power BI Data Analyst (PL-300) information investigator in Microsoft Power BI Data Analyst communicates substantial pieces of knowledge by using available information and employing space talents. The Power BI information specialist collaborates with key partners across verticals to identify business requirements, cleans and updates data, and then plans and assembles data models using Power BI. The Power BI information examiner adds considerable company value by providing easy-to-understand data perspectives, allowing others to do self-administration analysis, and sending and organizing responses for use. This test requires the ability to use Power Query and create articulations using DAX.

What is Power BI and what are its main components?

Power BI is a business intelligence and data visualization tool developed by Microsoft. It provides an end-to-end solution for data analysis and visualization, enabling organizations to quickly and easily connect to data sources, prepare and clean data, build interactive reports and dashboards, and share insights with others.

The main components of Power BI are:

1. Power BI Desktop: A Windows application that provides a rich environment for data preparation, modeling, and visualization.
2. Power BI Service: A cloud-based service for sharing and collaborating on Power BI reports and dashboards.
3. Power BI Report Server: An on-premises solution for deploying and sharing Power BI reports within an organization.
4. Power BI Mobile: A mobile app that allows users to access their Power BI reports and dashboards on the go.
5. Power BI Embedded: A set of APIs and tools for embedding Power BI reports and dashboards in other applications.
6. Power BI Dataflows: A cloud-based data management tool that allows users to connect to, transform, and load data into Power BI without writing code.

By leveraging these components, organizations can easily and effectively analyze, visualize, and share data insights with others, improving decision making and driving better business outcomes.

How do you connect to and import data into Power BI?

Power BI supports a wide range of data sources, including cloud-based data sources, on-premises databases, and popular data file formats like CSV, Excel, and JSON. To connect to and import data into Power BI, follow these steps:

1. Open Power BI Desktop: Open the Power BI Desktop application.
2. Choose a data source: From the Home tab, select “Get Data” to access the data source options.
3. Connect to your data source: Choose the appropriate data source type, such as an on-premises database, cloud-based data source, or file, and enter the necessary connection information.
4. Load the data: After connecting to the data source, select the tables and columns you want to import into Power BI and click the “Load” button.
5. Transform the data: If necessary, transform the data by creating calculated columns, changing data types, and creating relationships between tables.
6. Create your report: After the data is loaded, you can use Power BI’s visualizations and report-building tools to create and publish your report.

Note that when importing data, Power BI supports a number of advanced data preparation features, including query folding, which allows for efficient data retrieval from large data sources, and data blending, which allows you to combine data from multiple sources into a single report.

By following these steps, you can easily connect to and import data into Power BI to build effective, interactive reports and visualizations.

Can you explain how to build and design effective Power BI reports?

Building effective Power BI reports requires a good understanding of data visualization best practices and an understanding of how to effectively present data to users. Here are some key steps to follow when building and designing Power BI reports:

1. Determine your audience: Identify the people who will be using the report and what they need to know from the data.
2. Choose the right visualizations: Choose the appropriate visualizations to effectively communicate the data, such as bar charts, line charts, pie charts, etc.
3. Use appropriate data formatting: Format the data in a way that is easy to understand, such as using appropriate units and decimal places.
4. Keep it simple: Avoid clutter and use clear, concise labeling and formatting.
5. Make it interactive: Use drillthrough, drilldown, and other interactive features to allow users to explore the data and find answers to their questions.
6. Consider performance: Ensure the reports perform well and load quickly, especially when working with large data sets.
7. Test and iterate: Test the report with real users and make changes based on feedback to continually improve the report’s effectiveness.

In terms of the actual design, here are some additional tips:

1. Use whitespace effectively: Use whitespace to separate different sections of the report and make it easier to read.
2. Choose appropriate colors: Use colors effectively to draw attention to important data and to help distinguish different data elements.
3. Use clear and concise labeling: Use clear and concise labeling, including units and axis labels, to help users understand the data.
4. Make it aesthetically pleasing: Use a clean, modern design that is aesthetically pleasing and easy to read.

By following these best practices, you can create Power BI reports that are effective, easy to use, and provide valuable insights into your data.

How do you use DAX to build calculated columns and measures in Power BI?

DAX (Data Analysis Expressions) is a formula language used in Power BI to create calculated columns and measures.

1. Calculated Columns: A calculated column is a column that you add to a data table in Power BI, which is calculated based on an expression you define using DAX. Calculated columns are created when the data is loaded into Power BI, and the results are stored in the data model. Example of DAX expression to create a calculated column:

scssCopy codeTotal Sales = SUM([SalesAmount])

2. Measures: A measure is a calculated value that aggregates data based on the fields in the visualizations. Measures are calculated on the fly, each time a visualization is updated. Example of DAX expression to create a measure:

scssCopy codeAverage Sales = AVERAGE(Sales[SalesAmount])

To create a calculated column or measure in Power BI, you first need to create a data model, then follow these steps:

1. Open the “Modeling” tab in Power BI Desktop.
2. Choose the table where you want to create the calculated column or measure.
3. To create a calculated column, click the “New Column” button and enter a name for the column. Then, enter the DAX expression in the formula bar.
4. To create a measure, click the “New Measure” button and enter a name for the measure. Then, enter the DAX expression in the formula bar.

Once you’ve created your calculated column or measure, you can use it in your visualizations and dashboards by dragging and dropping it onto the visualization or dashboard. You can also use DAX functions, such as SUM, AVERAGE, MIN, MAX, and COUNT, to perform calculations on your data.

Can you explain how to use Power BI to build interactive dashboards and visualizations?

To build interactive dashboards and visualizations in Power BI, you can follow these steps:

1. Connect to data: The first step is to connect Power BI to your data sources. You can connect to a wide variety of data sources, including Excel, SQL Server, and cloud-based data sources such as Azure SQL Database and Azure Data Lake Storage.
2. Load and transform data: Once you’ve connected to your data sources, you can load your data into Power BI and perform data transformations as needed. This includes tasks such as cleaning and shaping data, creating calculated columns, and creating relationships between tables.
3. Create data models: After transforming your data, you can create a data model in Power BI. This involves defining relationships between tables, creating calculated columns and measures, and defining calculated tables.
4. Create visualizations: Once you’ve created your data model, you can start building visualizations in Power BI. This involves selecting the visualizations you want to use, such as bar charts, line charts, or pie charts, and dragging and dropping fields onto the visualization. You can also customize the appearance of your visualizations, including color, size, and font.
5. Build dashboards: After creating your visualizations, you can build a dashboard by arranging your visualizations and adding other elements such as text boxes, images, and web content. You can also add interactivity to your dashboards by using drill-through and drill-down actions, and by using filters and slicers.
6. Publish and share: Once you’ve built your dashboards and visualizations, you can publish them to the Power BI Service or Power BI Report Server, and share them with others by granting them access to your workspaces or reports.

By following these steps, you can create interactive dashboards and visualizations in Power BI that make it easy to gain insights from your data and communicate your findings to others.

How do you share and publish Power BI reports and dashboards with others?

There are several ways to share and publish Power BI reports and dashboards with others:

1. Power BI Service: You can publish Power BI reports and dashboards to the Power BI Service, which is a cloud-based platform for sharing and collaborating on reports and dashboards. You can then share your reports and dashboards with others by granting them access to your workspaces in Power BI Service.
2. Power BI Report Server: You can also publish Power BI reports and dashboards to Power BI Report Server, which is a on-premises server that you can use to publish, manage, and deliver Power BI reports within your organization.
3. Power BI Embedded: Power BI Embedded allows you to embed Power BI reports and dashboards into your own applications, websites, and portals. This makes it easy to share Power BI reports and dashboards with others, regardless of whether they have access to Power BI Service or Power BI Report Server.
4. Sharing Reports and Dashboards: You can also share reports and dashboards directly with others by granting them access to your reports and dashboards in Power BI Desktop. This allows you to collaborate with others on reports and dashboards, and share your work with others even if they don’t have access to Power BI Service or Power BI Report Server.

By sharing and publishing Power BI reports and dashboards, you can make your data and insights available to others in your organization, and collaborate with others to gain deeper insights and make data-driven decisions.

Can you explain the use of Power BI to connect to cloud-based data sources such as Azure SQL Database and Azure Data Lake Storage?

Power BI provides several ways to connect to cloud-based data sources such as Azure SQL Database and Azure Data Lake Storage:

1. Direct Query: You can use Power BI to connect directly to Azure SQL Database and Azure Data Lake Storage, and perform real-time analysis of your data without having to import the data into Power BI. This is known as Direct Query and allows you to take advantage of the scalability and performance of Azure SQL Database and Azure Data Lake Storage.
2. Import Data: You can also import data from Azure SQL Database and Azure Data Lake Storage into Power BI, which allows you to perform data analysis and visualization on a local copy of your data. This option can be useful when you want to analyze large amounts of data or when you want to perform more complex data analysis that requires multiple rounds of data transformations.
3. Power BI Dataflows: Power BI dataflows is a cloud-based service that allows you to collect, transform, and load data from a variety of sources, including Azure SQL Database and Azure Data Lake Storage, into Power BI. Dataflows are designed to simplify the data preparation process, making it easier to prepare data for analysis and visualization in Power BI.

By connecting to Azure SQL Database and Azure Data Lake Storage in Power BI, you can take advantage of the scalability and performance of the cloud, while leveraging the data analysis and visualization capabilities of Power BI.

Can you explain how to use Power BI to build data models and perform data analysis?

Power BI provides several features to help you build data models and perform data analysis, including:

1. Data Modeling: Power BI allows you to build a data model by importing data from multiple sources and establishing relationships between tables. You can also use DAX formulas to create calculated columns and measures, which are used in the data model for analysis.
2. Data Visualization: Power BI provides a range of data visualization options, including charts, graphs, tables, and other visualizations, to help you analyze and understand your data.
3. DAX Formulas: DAX (Data Analysis Expressions) is a formula language in Power BI that you can use to perform data calculations and transformations. You can use DAX to create calculated columns, measures, and other expressions that are used in the data model for analysis.
4. Power BI Desktop: Power BI Desktop is a powerful tool for building and analyzing data models. You can use Power BI Desktop to connect to data sources, build data models, create calculations, and create interactive reports and dashboards.
5. Power Pivot: Power Pivot is a data modeling tool built into Power BI Desktop. You can use Power Pivot to import and analyze large amounts of data from multiple sources. Power Pivot allows you to create relationships between tables, create calculated columns, and perform data analysis.

By using these features, you can build data models and perform data analysis in Power BI. This helps you to understand your data, identify trends and patterns, and make informed decisions based on your data.

Can you explain how to use Power BI to perform data cleansing and data preparation tasks?

Data cleansing and data preparation are critical steps in the data analysis process. Power BI provides several features to help you perform these tasks, including:

1. Data Import: Power BI allows you to import data from a variety of sources, including Excel spreadsheets, databases, cloud-based services, and more. The import process allows you to perform basic data cleansing tasks, such as removing duplicates and cleaning up missing values.
2. Data Transformation: Once your data is in Power BI, you can use the data transformation features to clean and prepare your data for analysis. This includes transforming data types, splitting and merging columns, and removing unwanted columns.
3. DAX Formulas: DAX (Data Analysis Expressions) is a formula language in Power BI that you can use to perform data transformation and calculations. You can use DAX to create calculated columns, perform data manipulations, and create new columns based on existing data.
4. Query Editor: Power BI includes a query editor that allows you to perform data transformations and cleansing tasks. You can use the query editor to remove unwanted columns, split columns, merge columns, and perform other data transformations.
5. Power Query: Power Query is a data connection and data cleansing tool built into Power BI. You can use Power Query to connect to data sources, shape and cleanse data, and create a data model.

By using these features, you can perform data cleansing and preparation tasks efficiently and effectively in Power BI. This ensures that your data is accurate and ready for analysis, which is critical to the success of your data analysis projects.

How do you use Power BI to integrate with other Microsoft products and services such as Excel and SharePoint?

Power BI integrates with a variety of Microsoft products and services, including Excel and SharePoint. Here’s how you can use Power BI to integrate with Excel and SharePoint:

1. Integrating with Excel: Power BI integrates with Excel by allowing you to import data from Excel spreadsheets into Power BI. You can also import data from an Excel workbook stored in OneDrive for Business or SharePoint into Power BI.
2. Integrating with SharePoint: Power BI integrates with SharePoint by allowing you to publish Power BI reports to SharePoint. This allows you to share reports and data with others in your organization and collaborate on reports and dashboards in real-time. You can also embed Power BI reports in SharePoint pages using Power BI Report Server or Power BI Embedded.
3. Power BI and Excel together: Power BI and Excel can be used together to create a powerful data analysis and visualization tool. For example, you can use Excel to perform data analysis and cleanse data, and then import that data into Power BI to build interactive reports and dashboards.

In conclusion, Power BI integrates well with other Microsoft products and services such as Excel and SharePoint. By integrating with these products, you can streamline your data analysis process and collaborate with others more effectively.

1. What is Power BI and how does it function?

Microsoft created Power BI to combine many information perception highlights into one. Power BI is the new phrase for the information-driven sector, and it carries with it a lot of potential. It comes as a set of three important components:

• Power BI Administrations
• Next, Power BI Desktop
• Power BI Portable application
• Power BI enables you to incorporate information-driven knowledge into your organization using these three components. You may utilize Power BI for a variety of tasks, including creating reports, tracking progress on screens, coordinating APIs, and more.

2. What are the benefits of using Power BI?

Power BI has enhanced the process of gathering data from many sources and organizing it into a single tool for proper management. We may freely distribute these insightful studies for numerous businesses, such as retail. In today’s information-driven IT economy, Power BI is the new buzzword. There are several ways that Power BI may open doors for you, and they come in a variety of shapes and sizes. With the right information on the device, you may easily grab open doors as a:

• Firstly, Power BI information expert
• Power BI designer
• Next, Power BI computer programmer
• Power BI project director
• SQL Server Power BI engineer
• Power BI specialist

With good compensation, you get to work with an item’s data and learn about its bits of knowledge to make important decisions. Furthermore, according to the most recent Gartner BI and Analytics research, Power BI has emerged as the champion. With so much exposure, mastering Power BI is well worth the effort.

3. How would you describe Power BI as a feasible solution?

Power BI is a reliable business intelligence tool that creates useful experiences and reports by combining data from disparate sources. This data may be extracte from a variety of sources, including Microsoft Excel and half-breed data distribution centers. Using straightforward graphical connecting points and representations, Power BI provides a high level of usefulness and explanation. You may create reports using the Excel BI tool compartment and share them with your peers through the cloud.

4. What are the most important features of Power BI?

Power BI is made up of the following key components:

• Firstly, Power Query (for information mix and change): You may use this to separate data from several data sets (such as SQL Server, MySql, and a variety of others) and delete a chunk of data from various sources.
• Power Pivot (for simple data presenting): It’s a data displaying motor that uses the Data Analysis Expression (DAX) programming language to carry out the calculations. Similarly, creates a link between many tables so that they may be use as turntables.
• Power View (for survey data representations): This view provides an intelligent display of various data sources to eliminate metadata and allow for proper data exploration.
• Power BI Desktop (a friend improvement tool): Power Desktop is a collection of Power Query, Power View, and Power Pivot in one package. Using the work area gadget, create advanced inquiries, models, and reports.
• Mobile Power BI (for Android, iOS, and Windows phones): It provides a simple and intelligent display of the dashboards from the website on these operating systems.
• Power Map (3D geo-spatial information perception).
• Power Q&A (for normal language Q&A).

5. What are the various energizing options?

Power BI provides four primary invigorate options:

• Bundle/OneDrive revive: The Power BI work area or Excel document is synchronize between the Power BI administration and OneDrive.
• Information/Model invigorate: This entails scheduling information import from all sources based on either a predefined plan or on-request.
• Tile invigorate: Each time the information on the dashboard changes, refresh the tiles’ storage.
• Visual compartment revives: Once the information in the reports changes, update the visuals and visual holder.

6. In Microsoft Power BI Data Analyst (PL-300), what are the various network modes?

In Power BI, there are three major availability modes:

Direct Query: The method allows for direct connection to the Power BI model. In Power BI, the information is not save. Surprisingly, Power BI would only save the metadata of the information tables included in the report, not the actual data. The following are the wellsprings of information inquiry that have been upheld:

• Amazon Redshift
• Sky blue HDInsight Spark (Beta)
• Next, Sky blue SQL Database
• Sky blue SQL Data Warehouse
• IBM Netezza (Beta)
• Impala (form 2.x)
• Prophet Database (form 12 or more)
• SAP Business Warehouse (Beta)
• SAP HANA
• Snowflake
• Flash (Beta) (adaptation 0.9 or more)
• SQL Server
• Teradata Database

Live Connection: By the same token, live association is identical to the instant inquiry technique in that it does not save any data in Power BI. However, it is an instant relationship with the investigation administration’s model, which goes against the quick investigation approach. Likewise, with a live association method, the support information sources are limit:

• SQL Server Analysis Services (SSAS) Tabular
  SQL Server Analysis Services (SSAS) Multi-Dimensional
  Power BI Service

Import Data (Scheduled Refresh): You may transfer the data into Power BI by using this method. When you transfer data in Power BI, you’re using up the memory space in your Power BI work area. If it is present on the site, it takes up space on the Power BI cloud machine. Even though it is the fastest method, the maximum size of the document to be sent cannot exceed 1 GB unless you have a Power BI premium (then, at that point, you have 50 GB to the detriment). However, which model to choose when is determine by your usage and purpose.

7. What is a work area in Power BI?

You may simply download a work area form of Power BI to access the Power BI highlights, envision facts, or model them to create reports. With the desktop version, you may extract data from many sources, modify it, create graphics or reports, and distribute it via Power BI administrations.

8. Where is the data store in Power BI?

Essentially, Power BI stores information in two places:

• Sky blue Blob Storage: When clients transfer information, it is save here.
• Next, Sky blue SQL Database: All of the old information and framework rarities are store here.
• They are store as reality tables or layer tables.

9. What are the available perspectives?

There are several types of views available in Power BI, such as:

• Information View: Curating, researching, and examining information tables in an informative collection. In contrast to Power Query editorial manager, with information view, you look at the data after it has been process by the model.
• Model View: This view displays all of the tables as well as their confusing relationships. You may use this to transform these mind-boggling models into better graphs or to set characteristics for them on the fly.
• Report View: The report view displays the tables in an intelligent organization that is working on information analysis. You can generate n reports, provide perceptions, combine them, or apply any other utility.

10. What are the organizations that are easily accessible?

Power BI is available in a variety of configurations:

• Firstly, Power BI work area: For the rendering of the work area
• Power BI portable application: For exploiting the representations on mobile operating systems and providing it
• Power BI administrations: In terms of online SaaS,

11. Which information sources can Power BI connect to?

The point from whence the information was recovered is refer to as the information source. It is analogous to records in various formats (.xlsx,.csv,.pbix,.xml,.txt, and so on), information bases (SQL data set, SQL Data Warehouse, Spark on Azure HDInsight, and so on), or structural content bundles like Google Analytics or Twilio.

12. What precisely is a dashboard in Microsoft Power BI Data Analyst (PL-300)?

The dashboard appears to be a single-page document with several components to create and visualize reports based on data analysis. To create a tale, it just uses the most important information from the reports. Tiles are the graphic components that make up the dashboard. These tiles from the reports can be glue to the dashboard. The report of a certain informative index may be access by clicking any component on the dashboard.

Power BI’s key structural squares are:

13. What are Power BI’s structural squares?

• Datasets: A dataset is a collection of data gathered from many sources such as SQL Server, Azure, Text, Oracle, XML, JSON, and others. We can surely acquire information from any information source using Power BI’s GetData feature.
• Perceptions: The visual presentation of information as guides, diagrams, or tables is known as visualization.
• Reports: Reports are multi-page documents that present facts in an orderly manner. Reports assist in removing crucial facts and bits of information from datasets so that important business decisions may be made.
• Dashboards: A dashboard is a single-page representation of reports based on several databases. A tile is a name given to each component.
• Tiles: Single-block representations of a report are called tiles. Tiles aid in the separation of each report.

14. What are Power BI content packs?

Content packs are a collection of Power BI elements such as reports, dashboards, datasets, and more. There are two types of content packs:

• Specialist organization content packs: Pre-made content packages are available from service providers such as Google Analytics, Salesforce, and others.
• Client-made content packs: Users can create their content packages and sell them inside the organization.

15. What are the various Power BI versions?

The following are Power BI’s three most important adaptations:

• BI Desktop: The free, easy software that connects to a variety of data sources, modifies data, and generates desired reports.
• Power BI Premium: The superior version is use for larger organizations with a dedicated stockpiling limit for each client. With premium, informative indexes with a capacity limit of 50GB may be accommodate alongside a total capacity of 100TB on the cloud. Each month, it costs $4995.
• Power BI Pro: With the expert form, you have full access to the Power BI dashboard, report creation, as well as unlimited sharing and surveying of reports. A capacity-breaking threshold of 10GB per client is also available.

16. What is DAX in Microsoft Power BI Data Analyst (PL-300)?

The Data Analysis Expression (DAX) library is a set of equations use for estimates and data analysis. To execute computations and provide results, this library has capacities, constants, and administrators. DAX enables you to make the most of your informative indexes and generate insightful reports.DAX is a practical language that includes constrained declarations, established capabilities, esteem references, and a lot more. Numeric (numbers, decimals, and so on) or non-numeric equations are use (string, parallel). An equivalent sign usually precedes a DAX equation.

DAX

• A: Name of the venture
• B: Start of the DAX equation
• C: DAX work (to add)
• D: Parentheses characterizing contentions
• E: Name of the table
• F: Name of the field
• G: Operator

17. What are the benefits and reasons for using the DAX work?

DAX is far more powerful than Power BI. Assuming you study DAX as a practical language, you will improve as your knowledge grows. DAX is based on several established channels that brilliantly operate on the presentation of information by mixing, presenting, and dividing tables.

18. What precisely is a Power Pivot?

Power Pivot enables you to import a huge number of columns from several data sources into a single dominating sheet. It enables us to connect the various tables, create sections, solve equations, and create PivotCharts and PivotTables.There can only be one dynamic link between the tables at a time, which is handled by a never-ending line.

19. What is a Power Query, and what is it use for?

Power inquiry is a capability that channels changes and connects data gathered from many sources. It aids in bringing in data from data sets, records, and other sources, as well as annexing data.

20. What’s the difference between Power BI and Tableau?

The following are the key differences between Power BI and Tableau:

• While Power BI uses DAX to determine table segments, Tableau relies on MDX (Multidimensional Expressions).
• The scenario is more effective since it can handle a large amount of data, whereas Power BI can only handle a small amount.
• The environment is more challenging to utilize than Power BI.

21. In Power BI, what is GetData?

GetData provides information networks to a variety of data sources. On your neighborhood framework, connect information records. The following are reliable information sources:

• Record:Excel, Text/CSV, XML, PDF, JSON, Folder, SharePoint are all examples of file formats.
• Information base: SQL Server data set, Access data set, Oracle data set, SAP HANA data set, IBM, MySQL, Teradata, Impala, Amazon Redshift, Google BigQuery, and so on
• Power BI: Datasets and dataflows in Power BI.
• Purplish blue: Azure SQL, Azure SQL Data Warehouse, Azure Analysis Services, Azure Data Lake, Azure Cosmos DB, and so forth
• Online Services: Salesforce, Azure DevOps, Google Analytics, Adobe Analytics, Dynamics 365, Facebook, GitHub, and other tools are just a few examples.
• Others: ODBC, OLE DB, Active Directory, Python scripts, R scripts, Web, Spark, Hadoop File System (HDFS), ODBC, OLE DB, and so on

22. What are the different types of channels in Microsoft Power BI?

Information is sorted by channels based on the condition that has been applied to it. Channels allow us to focus data on a page, perception, or report level by selecting certain fields. For example, broadcasters can provide transactions updates for the Indian district starting in 2019. Power BI can make modifications based on the channels and create similar diagrams or graphics. The following are examples of channels:

• Page–level channels: These are applied to a specific page from a variety of pages inside a report.
• Perception level channels: For specific representations, they are applied to the two information and estimation criteria.
• Report–level channels: These are used throughout the paper.

23. What are the different types of Power BI representations?

Perception is a graphical representation of information. Perceptions may be use to create reports and dashboards. Some of the representations available in Power BI include Bar outlines, Column graphs, Line diagrams, Area outline, Stacked region diagram, Ribbon graph, Waterfall graph, Scatter outline, Pie outline, Donut graph, Treemap graph, Map, Funnel graph, Gauge graph, Cards, KPI, Slicer, Table, Matrix, R script visual, Python visual, and so on.

24. What do we mean when we talk about Microsoft Power BI administrations?

Power BI provides many forms of support for its cloud-based business investigation. You may see and share reports via the Power BI portal with these administrations. Power BI is a web-based tool for sharing reports. Power BI administration is sometimes known as PowerBI.com, PowerBI work area, PowerBI site, or PowerBI entry.

25. What is Power BI’s entire functional configuration?

The working structure of Power BI is divided into three stages:

• Information Integration: The first stage is to extract and integrate information from a variety of different sources. Following incorporation, the data is convert to a standard format and stored in a common area known as the organizing region.
• Information Processing: After the data has been gather and organize, it must be cleaned up. In this case, raw data isn’t very useful, thus a few changes and cleaning jobs are done on it to remove extra attributes, and so on. Information is store at information distribution centers once it has been alter.
• Information Presentation: After the data has been alter and clean, it is shown as reports, dashboards, or scorecards on the Power BI work area. These reports may be distributed to various corporate clients via portable apps or the internet.

26. In Microsoft Power BI Data Analyst (PL-300), what are custom visuals?

Using Power BI perceptions, you may apply redesigned representations like diagrams, KPIs, and so on from PowerBI’s extensive library of bespoke visuals. It prevents designers from creating it without any prior preparation using JQuery or Javascript SDK. When the custom visual is finished, it is thoroughly test. Following testing, they are packaged in. pbiviz file format and distribute inside the organization. The following types of graphics are available in Power BI:

• Custom visual documents.
• Hierarchical documents.
• Commercial center records.

27. What are the different types of clients that can use Microsoft Power BI?

PowerBI may be use by anybody to their advantage. Regardless, at the end of the day, a specific group of clientele is obliged to use it, namely:

• Business Users: Business clients are the ones that are constantly on the lookout for reports to make important business decisions based on the information.
• Business Analysts: Analysts create dashboards, reports, and visual representations of data to properly understand the dataset. Concentrating on information necessitates an astute eye to detect key patterns within the reports.
• Designers: Developers are engage in creating unique visualizations for Power BI, integrating Power BI with other apps, and so on.
• Experts: They employ Power BI to examine the adaptability, security, and accessibility of information.

28. What are the three central concepts of DAX?

• Linguistic structure: This is the method through which the recipe’s components are put together. The language framework includes capabilities such as SUM (utilized when you need to add figures). If the sentence structure is incorrect, you will receive an error notice.
• Capacities: These are equations that use specified qualities (also known as contentions) in a given request to do a computation, similar to the capabilities in Excel. Capabilities are classified as date/time, time knowledge, data, coherence, numerical, factual, text, parent/child, and others.
• Setting: Line setting and channel setting are the two types. When a recipe can use channels to detect a single line in a table, line setting becomes an important feature. When at least one channel is use in an estimation that determines a result of worth, the channel setting may become the most significant component.

29. Name the many Microsoft Power BI Data Analyst (PL-300) Formats.

Power BI is primarily available in three configurations, which are shown below.

• Power BI Desktop: Desktop clients with an open-source adaption
• Next, Power BI Services: For Web-based Services
• Power BI Mobile Application: Mobile devices are support.

30. What are the different stages of Microsoft Power BI’s operation?

As shown here, there are three distinct steps to tackling Power BI. The most important step in any business insight is to establish a strong connection with the data source and include it in the data extraction process.

• Data Processing– Information handling is the next step in the business insight process. Frequently, the raw data contains unintentionally incorrect data, or several information fields may be blank. To be handled in the information handling step, the BI instrument must interpret the missing characteristics and off-base information.
• Data Presentation– Examining the information obtained from the source and presenting the experiences using visually appealing diagrams and sophisticated dashboards is the final stage in business knowledge.
• Data Integration– The most important step in any business insight is to set up a good connection with the information source and coordinate it so that information can be separated for processing.

The post Microsoft Power BI Data Analyst (PL-300) Interview Questions appeared first on Testprep Training Tutorials.

In Microsoft Power BI Data Analyst, the Power BI information investigator conveys significant bits of knowledge by utilizing accessible information and applying space skills. The Power BI information expert teams up with key partners across verticals to recognize business necessities, cleans and changes the information, and afterward plans and assembles information models by utilizing Power BI. The Power BI information examiner gives significant business esteem through simple to-appreciate information perceptions, empowers others to perform self-administration examination, and sends and arranges answers for utilization. Possibility for this test should be capable of utilizing Power Query and composing articulations by utilizing DAX.

Can you describe your experience with Power BI and its key components, including Power BI Desktop, Power BI Service, and Power BI Report Server?

1. Power BI Desktop: Power BI Desktop is a Windows-based application that provides a rich, interactive environment for creating and managing Power BI reports. It includes features for data modeling, data visualization, and report publishing. Power BI Desktop is a powerful tool for data analysts and business intelligence professionals who want to create high-quality, interactive reports.
2. Power BI Service: Power BI Service is a cloud-based service that provides a platform for sharing, publishing, and collaborating on Power BI reports. It provides a web-based interface for accessing Power BI reports and dashboards and includes features for data exploration, data visualization, and report sharing. Power BI Service provides a secure and scalable platform for organizations to share their data insights with others.
3. Power BI Report Server: Power BI Report Server is an on-premises solution for publishing and delivering Power BI reports. It provides a platform for organizations to host their Power BI reports in their own data center and enables them to share reports with others within their organization. Power BI Report Server provides a secure and scalable platform for organizations to share their data insights with others while keeping their data behind their own firewall.

How have you used Power BI to connect to and import data from various data sources, such as SQL Server, Excel, and other cloud-based platforms?

Power BI provides several options for connecting to and importing data from various data sources, such as SQL Server, Excel, and other cloud-based platforms. Here are some of the key ways to connect to and import data into Power BI:

1. Power BI Desktop: Power BI Desktop is a Windows-based application that provides a user-friendly interface for creating and managing Power BI reports. It can be used to connect to and import data from SQL Server, Excel, and other data sources using the built-in data connectors.
2. DirectQuery: DirectQuery is a feature in Power BI that allows you to connect to a data source and import the data into Power BI in real-time, without having to import the data into Power BI Desktop. DirectQuery is useful when working with large data sets or when you need real-time data updates.
3. Power Query: Power Query is a feature in Power BI that allows you to clean and transform data before it is loaded into Power BI Desktop. Power Query provides a user-friendly interface for cleaning and transforming data and can be used to connect to a variety of data sources, including SQL Server, Excel, and other cloud-based platforms.
4. Power BI Dataflows: Power BI Dataflows is a feature in Power BI that allows you to create, manage, and reuse data transformations. Power BI Dataflows provides a user-friendly interface for cleaning and transforming data and can be used to connect to a variety of data sources, including SQL Server, Excel, and other cloud-based platforms.

Can you explain the process of creating reports, dashboards, and interactive visualizations in Power BI, including the use of DAX and Power BI data models?

The process of creating reports, dashboards, and interactive visualizations in Power BI involves several steps, including the use of DAX and Power BI data models. Here is a general outline of the process:

1. Connect to data sources: Power BI allows you to connect to a variety of data sources, including databases, cloud-based data sources, and Excel spreadsheets. You can connect to these data sources using Power BI Desktop, which is a Windows-based application for creating Power BI reports.
2. Load data: After connecting to the data sources, you can load the data into Power BI Desktop. You can use the Query Editor to clean and transform the data, and you can also define relationships between tables and create calculated columns using DAX, which is a formula language used in Power BI.
3. Create a data model: Once the data is loaded into Power BI Desktop, you can create a data model that defines how the data will be organized and related in Power BI. This involves defining relationships between tables, creating calculated columns, and setting up calculated tables.
4. Create reports: After creating the data model, you can create reports in Power BI Desktop by adding visuals, such as charts, tables, maps, and custom visuals, to the report canvas. You can also add calculated columns and tables to the report using DAX.

How have you used Power BI to collaborate and share reports and dashboards with others, and what are the key features and benefits of the Power BI Service for collaboration and sharing?

Power BI provides several features for collaboration and sharing reports and dashboards with others. Here are some of the key features and benefits of the Power BI Service for collaboration and sharing:

1. Sharing and collaboration: Power BI allows you to share reports and dashboards with others by publishing them to the Power BI Service and granting access to specific users. This makes it easy to collaborate on data analysis and insights with others, regardless of their location.
2. Secure sharing: Power BI provides secure sharing options, such as creating custom roles, setting permissions, and using row-level security, to ensure that sensitive data is protected when sharing reports and dashboards.
3. Real-time data updates: Power BI allows you to access real-time data updates, providing up-to-date insights and enabling you to make informed decisions. This is especially useful when collaborating with others, as everyone has access to the same data and insights.
4. Data visualization: Power BI provides a variety of data visualization options, including charts, tables, maps, and custom visuals, to make it easier to understand and interpret data. These visualizations can be used to share insights and findings with others, making it easier to communicate complex information.
5. Mobile accessibility: Power BI provides mobile accessibility, enabling you to access reports and dashboards from your mobile device, making it easy to stay informed and make decisions on-the-go.

Can you describe the process of creating custom visuals and implementing advanced features, such as R and Python scripting, in Power BI reports and dashboards?

The process of creating custom visuals and implementing advanced features, such as R and Python scripting, in Power BI reports and dashboards is as follows:

1. Custom visuals: To create custom visuals in Power BI, you need to use the Power BI Developer Tools and a programming language, such as TypeScript or JavaScript. You can create custom visuals using the Power BI Developer Tools by following these steps:

• Install the Power BI Developer Tools.
• Create a new custom visual project.
• Write the code for the custom visual.

2. R scripting: To implement R scripting in Power BI, you can use the R visual, which allows you to run R scripts and display the results as a visual in a Power BI report. To create an R visual, you need to follow these steps:

• Install the R software and configure it for use with Power BI.
• Create a new report in Power BI Desktop.
• Add an R visual to the report.

3. Python scripting: To implement Python scripting in Power BI, you can use the Python visual, which allows you to run Python scripts and display the results as a visual in a Power BI report.

The key considerations for implementing advanced features, such as R and Python scripting, in Power BI reports and dashboards are:

1. Data security: Ensure that the data used in the R and Python scripts is secure and protected.
2. Performance: Consider the performance of the R and Python scripts, and optimize them if necessary to ensure that they run smoothly and provide fast and accurate results.
3. User adoption: Encourage user adoption of the R and Python scripts by providing clear and concise documentation, training, and support.

How have you used Power BI to integrate with other Microsoft tools, such as Power Apps and Power Automate, and what are the key benefits of these integrations?

Power BI can be integrated with other Microsoft tools, such as Power Apps and Power Automate, to provide a seamless experience and increase productivity. Here are some of the key benefits of these integrations:

1. Power Apps integration: Integrating Power BI with Power Apps allows you to create custom business applications that utilize Power BI reports and dashboards. This integration provides a way to interact with data and insights in Power BI from within a custom app, allowing for greater flexibility and customization.
2. Power Automate integration: Integrating Power BI with Power Automate allows you to automate tasks and workflows, such as data refresh, report distribution, and data update notifications. This integration enables you to automate repetitive tasks and processes, freeing up time for more important work.
3. Data connectivity: Power BI integrates with a wide range of data sources, including Excel, SharePoint, and SQL Server, as well as cloud-based data sources such as Azure SQL Database, and Salesforce. The integration with these data sources allows for greater data connectivity and the ability to combine data from multiple sources into a single report or dashboard.
4. Increased productivity: By integrating Power BI with Power Apps and Power Automate, you can increase productivity by automating tasks and workflows, providing easy access to data and insights, and enabling greater collaboration and communication among team members.
5. Better decision-making: The integration of Power BI with other Microsoft tools allows for better decision-making by providing access to real-time data and insights, enabling you to make informed decisions based on up-to-date information.

Can you explain the process of publishing Power BI reports and dashboards to Power BI Report Server or the Power BI Service, and what are the key considerations for publishing and distribution?

The process of publishing Power BI reports and dashboards to Power BI Report Server or the Power BI Service involves the following steps:

1. Open the report in Power BI Desktop: Open the report or dashboard that you want to publish in Power BI Desktop.
2. Select the “Publish” option: Go to the Home tab and select the “Publish” option to publish the report or dashboard.
3. Choose the target environment: Choose whether to publish the report to the Power BI Report Server or the Power BI Service.
4. Specify the report properties: Set the report properties, such as the report name, description, and folder location, as desired.

The key considerations for publishing and distribution of Power BI reports and dashboards are:

1. Target environment: Choose the target environment based on your organization’s needs and requirements. The Power BI Report Server is best suited for on-premises deployment, while the Power BI Service is best for cloud-based deployment.
2. Access and security: Consider the access and security requirements for the reports and dashboards. For example, you may need to control access to sensitive data and restrict the distribution of certain reports.
3. Data sources: Ensure that the data sources used in the report or dashboard are available and accessible in the target environment.
4. Performance: Consider the performance of the report or dashboard in the target environment, and optimize the report if necessary to ensure that it runs smoothly and provides fast and accurate results.

By considering these key considerations, you can ensure that the reports and dashboards are effectively published and distributed, and that they meet the needs and requirements of your organization.

Can you describe your experience with Power BI security, including the use of roles, row-level security, and data privacy settings?

Power BI provides various security features to protect data and maintain privacy, including:

1. Roles: Power BI allows the creation of roles, which define the level of access users have to reports and dashboards. For example, an administrator role can have full access to all reports and dashboards, while a view-only role can only view data but cannot make changes.
2. Row-level security: This feature allows you to restrict access to data at the row level, based on a user’s role. For example, you can restrict access to sensitive data such as financial information, so that only authorized users can view it.
3. Data privacy settings: Power BI includes data privacy settings to help organizations control who can access and view their data. This includes the ability to control access to data on a report or dashboard level, as well as the ability to control access to data within the underlying data sources.

It is important to consider the security of your data when working with Power BI, and to understand the various security features that are available and how they can be used to meet your organization’s needs. By implementing appropriate security measures, you can help ensure the privacy and security of your data and help prevent unauthorized access to sensitive information.

How have you used Power BI to create interactive and engaging reports and dashboards, and what are the key considerations for designing effective reports and dashboards?

Power BI is a business intelligence tool that allows users to create interactive and engaging reports and dashboards. To create effective reports and dashboards in Power BI, here are some key considerations:

1. Data source: Ensure that the data source used is accurate, up-to-date, and reliable.
2. Report layout: Choose a layout that is simple, clear, and easy to understand. Consider using visualizations, such as charts, tables, and maps, to present data in an engaging and meaningful way.
3. Visualization types: Select the appropriate visualization type for the data being presented. For example, bar charts are ideal for comparing data points, while line charts are better for showing trends over time.
4. Data grouping and filtering: Group and filter data to provide a more focused and relevant view of the data.
5. Interactivity: Add interactivity to the report or dashboard, such as drill-down options and interactive filters, to allow users to explore the data and gain deeper insights.
6. Dashboard design: When designing a dashboard, consider the user experience, visual appeal, and overall usability. Place the most important information prominently, and ensure that the dashboard is easy to navigate and understand.
7. User feedback: Gather feedback from users to make sure that the reports and dashboards meet their needs and expectations.

Can you provide examples of Power BI solutions you have designed and deployed, and what challenges and considerations were involved in those solutions?

1. Data sources and integration: One of the biggest challenges in Power BI is integrating data from various sources, including on-premises and cloud-based data sources. Considerations include data quality, data security, and data governance.
2. Data modeling: Power BI supports a wide range of data models, including tabular and multi-dimensional models. When designing a Power BI solution, it’s important to choose the right data model that meets the specific requirements of the solution.
3. Performance optimization: Power BI solutions can become slow and unwieldy if they contain too much data or if the data model is not optimized. Performance optimization is a critical consideration in the design and deployment of Power BI solutions.
4. Visualization and storytelling: Power BI provides a wide range of visualization options, including charts, tables, maps, and more. When designing a Power BI solution, it’s important to choose the right visualizations that effectively communicate insights and support the storytelling aspect of the solution.
5. Security and access control: Power BI solutions often contain sensitive and confidential information. Considerations for security and access control include user authentication, role-based access control, and data encryption.

1.) What is Power BI?

Power BI was acquainted by Microsoft with consolidating the different information perception highlights into one. Power BI is the new term for the information-driven industry and accordingly conveys a ton of chances on its shoulders. It comes as a bundle of three significant parts:

• Power BI administrations
• Power BI Desktop
• Power BI portable application
• With these three parts, Power BI allows you to make information-driven knowledge into your business. In light of different jobs, you can use Power BI to your advantage like making reports, screen progress, coordinating APIs, and some more.

2.) Why Power BI?

Power BI has improved the workaround of getting information from different sources and ordering them into one instrument for appropriate administration. We can share these intelligent reports for various ventures like retail, for nothing.

Power BI is the new blaze word in the information-driven tech industry today. The power BI potential open doors are umpteen and spread across forms. With appropriate information on the apparatus you can undoubtedly snatch open doors as a:

• Power BI information expert
• Power BI designer
• Power BI computer programmer
• Power BI project director
• SQL Server Power BI engineer
• Power BI specialist
• With great pay, you get to work with an item’s information and find out with regards to its bits of knowledge to settle on significant choices. In addition to this, with the most recent Gartner’s BI and Analytics report, Power BI has arisen as the champ. With such a lot of promotion, learning Power BI is worth the effort.

3.) How might you characterize Power BI as a viable arrangement?

Power BI is a solid business logical instrument that makes helpful experiences and reports by gathering information from disconnected sources. This information can be removed from any source like Microsoft Excel or half-breed information distribution centers. Power BI drives a super degree of utility and reason utilizing intuitive graphical connection points and representations. You can make reports utilizing the Excel BI tool compartment and offer them on the cloud with your partners.

4.) What are the significant parts of Power BI?

Power BI is a combination of these significant parts:

• Power Query (for information blend and change): You can utilize this to separate information from different data sets (like SQL Server, MySql, and numerous others ) and to erase a lump of information from different sources.
• Power Pivot (for plain information displaying): It is an information demonstrating motor that utilizes a useful language called Data Analysis Expression (DAX) to play out the estimations. Likewise, makes a connection between different tables to be seen as turn tables.
• Power View (for survey information representations): The view gives an intelligent presentation of different information sources to remove metadata for appropriate information investigation.
• Power BI Desktop (a friend improvement instrument): Power Desktop is an amassed apparatus of Power Query, Power View, and Power Pivot. Make progressed inquiries, models, and reports utilizing the work area device.
• Power BI Mobile (for Android, iOS, Windows telephones): It gives an intelligent presentation of the dashboards from the site onto these OS, easily.
• Power Map (3D geo-spatial information perception).
• Power Q&A (for normal language Q&A).

5.)What are the different invigorate choices accessible?

Four fundamental invigorate choices are accessible in Power BI:

• Bundle/OneDrive revive: This synchronizes the Power BI work area or Excel document between the Power BI administration and OneDrive
• Information/Model invigorate: This implies booking the information import from every one of the sources in light of either revive plan or on-request.
• Tile invigorate: Refresh the tiles’ store on the dashboard each time the information changes.
• Visual compartment revives: Update the reports’ visuals and visual holder once the information changes.

6.) What are the different network modes in Power BI?

The three significant availability modes in Power BI are:

• Direct Query: The technique permits direct association with the Power BI model. The information doesn’t get put away in Power BI. Curiously, Power BI will just store the metadata of the information tables included and not the genuine information. The upheld wellsprings of information question are:

• Amazon Redshift
  Sky blue HDInsight Spark (Beta)
  Sky blue SQL Database
  Sky blue SQL Data Warehouse
  IBM Netezza (Beta)
  Impala (form 2.x)
  Prophet Database (form 12 or more)
  SAP Business Warehouse (Beta)
  SAP HANA
  Snowflake
  Flash (Beta) (adaptation 0.9 or more)
  SQL Server
  Teradata Database
  Live Connection: Live association is similar to the immediate inquiry strategy as it doesn’t store any information in Power BI by the same token. Be that as it may, went against the immediate inquiry strategy, it is an immediate association with the investigation administration’s model. Likewise, the upheld information sources with live association strategy are restricted:
• SQL Server Analysis Services (SSAS) Tabular
  SQL Server Analysis Services (SSAS) Multi-Dimensional
  Power BI Service
  Import Data (Scheduled Refresh): By picking this technique, you transfer the information into Power BI. Transferring information on Power BI implies consuming the memory space of your Power BI work area. In the event that it is on the site, it consumes the space of the Power BI cloud machine. Despite the fact that it is the quickest technique, the most extreme size of the document to be transferred can’t surpass 1 GB until and except if you have Power BI premium (then, at that point, you have 50 GB to the detriment).Be that as it may, which model to pick when relies upon your utilization and reason.

7.) What is a Power BI work area?

To get to the Power BI highlights, imagine information, or model them to make reports, you can just download a work area form of Power BI. With the work area adaptation, you can remove information from different information sources, change them, make visuals or reports, and offer them utilizing Power BI administrations.

8.) Where is the information put away in Power BI?

Essentially, Power BI has two sources to store information:

• Sky blue Blob Storage: When clients transfer the information, it gets put away here.
• Sky blue SQL Database: All the metadata and framework ancient rarities are put away here.

• They are put away as either reality tables or layered tables.

9.)What are the accessible perspectives?

In power BI, you have different sorts of perspectives viz:

• Information View: Curating, investigating, and reviewing information tables in the informational collection. In contrast to, Power Query editorial manager, with information view, you are taking a gander at the information after it has been taken care of to the model.
• Model View: This view shows you every one of the tables alongside their perplexing connections. With this, you can break these mind-boggling models into improved graphs or set properties for them on the double.
• Report View: The report view shows the tables in an intelligent organization to work on information examination. You can make n number of reports, give perceptions, combine them, or apply any such usefulness.

10.) What are the accessible organizations?

Power BI is accessible in different configurations:

• Power BI work area: For the work area rendition
• Power BI portable application: For utilizing the representations on versatile OS and offering it
• Power BI administrations: For online SaaS

11.) Power BI can associate with which information sources?

The information source is the point from which the information has been recovered. It tends to be in any way similar to records in different arrangements (.xlsx, .csv, .pbix, .xml, .txt, and so on), information bases (SQL data set, SQL Data Warehouse, Spark on Azure HDInsight), or structure content bundles like Google Analytics or Twilio.

12.) What is a dashboard?

The dashboard resembles a solitary page material on which you have different components to make and picture reports made by investigating information. It involves just the main information from the reports to make a story.

The visual components present on the dashboard are called Tiles. You can stick these tiles from the reports to the dashboard. Clicking any component on the dashboard takes you to the report of a specific informational index.

13.) What are the structure squares of Power BI?

The significant structure squares of Power BI are:

• Datasets: Dataset is an assortment of information assembled from different sources like SQL Server, Azure, Text, Oracle, XML, JSON, and some more. With the GetData highlight in Power BI, we can undoubtedly get information from any information source.
• Perceptions: Visualization is the visual stylish portrayal of information as guides, diagrams, or tables.
• Reports: Reports are an organized portrayal of datasets that comprises of numerous pages. Reports help to remove significant data and bits of knowledge from datasets to take significant business choices.
• Dashboards: A dashboard is a solitary page portrayal of reports made of different datasets. Every component is named a tile.
• Tiles: Tiles are single-block containing representations of a report. Tiles help to separate each report.

14.) What are content packs in Power BI?

• Content packs are bundles containing different Power BI items like reports, dashboards, datasets, and so forth The two sorts of content packs are:
• Specialist organization content packs: Service suppliers like Google Analytics, Salesforce, and so forth give pre-fabricated content bundles
• Client-made content packs: Users can make their substance bundles and offer them inside the association.

15.) What are the different Power BI renditions?

The three significant adaptations of Power BI are as per the following:

• Power BI Desktop: The free intuitive apparatus that interfaces numerous information sources, changes information, and makes envisioned reports.
• Power BI Premium: The superior form is utilized for bigger associations with a devoted stockpiling limit with regards to every client. With premium, informational indexes up to 50GB capacity limit can be facilitated alongside 100TB capacity on the cloud all in all. It costs $4995 each month.
• Power BI Pro: With the expert form, you get full admittance to the Power BI dashboard, production of reports, alongside limitless sharing and survey of reports. You additionally have a capacity breaking point of 10GB per client.

16.) What is DAX?

Information Analysis Expression (DAX) is a library of equations utilized for estimations and information examination. This library includes capacities, constants, and administrators to perform computations and give results. DAX allows you to utilize the informational indexes to their maximum capacity and give shrewd reports.

DAX is a utilitarian language containing restrictive proclamations, settled capacities, esteem references, and substantially more. The equations are either numeric (numbers, decimals, and so forth) or non-numeric (string, parallel). A DAX equation generally begins with an equivalent sign.

DAX
A: Name of the venture
B: Start of the DAX equation
C: DAX work (to add)
D: Parentheses characterizing contentions
E: Name of the table
F: Name of the field
G: Operator

17.) What are the reason and advantages of utilizing the DAX work?

DAX is considerably more than Power BI. Assuming that you learn DAX as a useful language, you become better as information is proficient. DAX depends on various settled channels which gloriously work on the presentation of information blending, displaying, and separating tables.

18.) What is Power Pivot?

Power Pivot empowers you to import a large number of columns from heterogeneous wellsprings of information into a solitary dominant sheet. It allows us to make connections between the different tables, make sections, work out utilizing equations, and make PivotCharts and PivotTables.

At a time there can be just a single dynamic connection between the tables which is addressed by a ceaseless line.

19.) What is Power Query?

Power inquiry is a capacity that channels changes and joins the information extricated from different sources. It assists with bringing in information from data sets, records, and so forth and annexing information

20.) Distinction between Power BI and Tableau?

The significant contrasts between Power BI and Tableau are:

While Power BI involves DAX for ascertaining segments of a table, Tableau utilizes MDX (Multidimensional Expressions).
The scene is more effective as it can deal with an enormous lump of information while Power BI can deal with just a restricted sum.
The scene is more difficult to use than Power BI.

21.) What is GetData in Power BI?

GetData offers information networks to different information sources. Interface information records on your neighborhood framework. The upheld information sources are:

• Record: Excel, Text/CSV, XML, PDF, JSON, Folder, SharePoint.
• Information base: SQL Server data set, Access data set, Oracle data set, SAP HANA data set, IBM, MySQL, Teradata, Impala, Amazon Redshift, Google BigQuery, and so on
• Power BI: Power BI datasets, Power BI dataflows.
• Purplish blue: Azure SQL, Azure SQL Data Warehouse, Azure Analysis Services, Azure Data Lake, Azure Cosmos DB, and so forth
• Online Services: Salesforce, Azure DevOps, Google Analytics, Adobe Analytics, Dynamics 365, Facebook, GitHub, and so on
• Others: Python script, R script, Web, Spark, Hadoop File (HDFS), ODBC, OLE DB, Active Directory, and so on

22.) What are channels in Microsoft Power BI?

Channels sort information in view of the condition applied to it. Channels empower us to choose specific fields and concentrate data at a page/perception/report level. For instance, channels can give deals reports from the year 2019 for the Indian district. Power BI can make changes in view of the channels and make diagrams or visuals in a like manner. The kinds of channels are:

Page-level channels: These are applied on a specific page from different pages accessible inside a report.
Perception level channels: These are applied to the two information and estimation conditions for specific representations.
Report-level channels: These are applied to the whole report.

23.) What are the kinds of representations in Power BI?

Perception is a graphical portrayal of information. We can utilize perceptions to make reports and dashboards. The sorts of representations accessible in Power BI are Bar outlines, Column graphs, Line diagrams, Area outline, Stacked region diagram, Ribbon graph, Waterfall graph, Scatter outline, Pie outline, Donut graph, Treemap graph, Map, Funnel graph, Gauge graph, Cards, KPI, Slicer, Table, Matrix, R script visual, Python visual, and so forth.

24.) What do we comprehend by Microsoft Power BI administrations?

Power BI offers types of assistance for its cloud-based business investigation. With these administrations, you can view and share reports by means of the Power BI site. Power BI is an electronic help for sharing reports. Power BI administration can be best alluded to as PowerBI.com, PowerBI work area, PowerBI site, or PowerBI entrance.

25.) What is the complete working arrangement of Power BI?

Power BI’s functioning framework predominantly includes three stages:

• Information Integration: The initial step is to extricate and incorporate the information from heterogeneous information sources. After incorporation, the information is changed over into a standard arrangement and put away in a typical region called the organizing region.
• Information Processing: Once the information is collected and coordinated, it requires some tidying up. Crude information isn’t so helpful in this way, a couple of change and cleaning tasks are performed on the information to eliminate excess qualities, and so forth After the information is changed, it is put away in information distribution centers.
• Information Presentation: Now that the information is changed and cleaned, it is outwardly introduced on the Power BI work area as reports, dashboards, or scorecards. These reports can be shared by means of portable applications or web to different business clients.

26.) What are custom visuals in Microsoft Power BI?

Utilizing Power BI perceptions, you can apply redid representations like diagrams, KPIs, and so forth from the rich library of PowerBI’s custom visuals. It abstains the designers from making it without any preparation utilizing JQuery or Javascript SDK. When the custom visual is prepared, it is tried completely. Post testing, they are bundled in .pbiviz record design and shared inside the association.

Sorts of visuals accessible in Power BI are:

• Custom visual documents.
• Hierarchical documents.
• Commercial center records.

27.) What is a different kind of client who can utilize Microsoft Power BI?

Everybody can utilize PowerBI for their potential benefit. Be that as it may, and still, at the end of the day a particular arrangement of clients are bound to utilize it viz:

• Business Users: Business clients are the ones who continually watch out for the reports to settle on significant business choices in view of the bits of knowledge.
• Business Analysts: Analysts are the ones who make dashboards, reports, and visual portrayals of information to study the dataset appropriately. Concentrating on information needs an insightful eye to catch significant patterns inside the reports.
• Designers: Developers are involved while making custom visuals to make Power BI, incorporating Power BI with different applications, and so forth
• Experts: They use Power BI to actually take a look at the information adaptability, security, and accessibility of information.

28.) What are the three key ideas of DAX?

• Linguistic structure: This is the means by which the recipe is composed of the components that involve it. The linguistic structure incorporates capacities like SUM (utilized when you need to add figures). In the event that the sentence structure isn’t right, you’ll get a blunder message.
• Capacities: These are equations that utilization explicit qualities (otherwise called contentions) in a specific request to play out a computation, like the capacities in Excel. The classifications of capacities are date/time, time knowledge, data, coherent, numerical, factual, text, parent/kid, and others.
• Setting: There are two sorts: line setting and channel setting. Line setting becomes an integral factor at whatever point a recipe has a capacity that applies channels to recognize a solitary line in a table. At the point when at least one channel are applied in an estimation that decides an outcome or worth, the channel setting becomes possibly the most important factor.

29.) Name the assortment of Microsoft Power BI Formats.

Power BI is accessible mostly in three arrangements, as referenced beneath.

• Power BI Desktop: Open-Source adaptation for Desktop clients
• Power BI Services: For Online Services
• Power BI Mobile Application: Compatible with cell phones

30.) What are the various stages in the working of Microsoft Power BI?

There are three unique stages in chipping away at Power BI, as clarified beneath. The essential advance in any business insight is to lay out an effective association with the information source and incorporate it to remove information for handling.

• Data Processing- The following stage in business insight is information handling. More often than not, the crude information additionally incorporates unforeseen mistaken information, or at times a couple of information cells may be vacant. The BI instrument requirements to deciphering the missing qualities and off base information for handling in the information handling stage.
• Data Presentation- The last stage in business knowledge is examining the information got from the source and introducing the experiences utilizing outwardly engaging diagrams and intelligent dashboards.

• Data Integration- The essential advance in any business insight is to lay out an effective association with the information source and coordinate it to separate information for handling.

The post Exam PL-300: Microsoft Power BI Data Analyst Interview Questions appeared first on Testprep Training Tutorials.

Now that you’ve earned the Exam DP-203: Data Engineering on Microsoft Azure certification, you may move on to the next step. It’s time to start your career as an Azure Data Engineer. To do so, you must pass the job interview, which is a difficult task. But don’t worry, we’ve prepared the DP-203 Interview Questions for your convenience!

Let’s start with an overview of the Azure Data Engineers!

Azure Data Engineers combine, change, and consolidate data from a variety of structured and unstructured data systems into configurations suitable for constructing analytics solutions. They have a strong understanding of data processing languages including SQL, Python, and Scala, as well as parallel processing and data architecture techniques. So, let’s begin with the basics.

Advanced Interview Questions

How do you use Azure Blob Storage to store and manage large amounts of data?

Azure Blob Storage is a scalable and cost-effective cloud storage solution for storing unstructured data such as images, videos, audio files, and large documents. It can handle high volumes of data, both in terms of size and number of objects, and provides multiple options for access and retrieval of data.

To use Azure Blob Storage for storing large amounts of data, organizations can follow the below steps:

1. Create a storage account: To start using Azure Blob Storage, organizations need to create a storage account in the Azure portal.
2. Upload data: Data can be uploaded to the storage account either through the Azure portal, Azure Storage Explorer, or using a programming language such as .NET, Python, or Java.
3. Manage data: Once the data is stored in the storage account, organizations can manage it by creating containers and organizing the data into folders or partitions.
4. Access data: Data stored in Azure Blob Storage can be accessed using a variety of methods, including HTTP/HTTPS, Azure CLI, or through the Azure portal.

By using Azure Blob Storage, organizations can store and manage large amounts of data in a cost-effective and scalable manner, with multiple options for accessing and retrieving the data.

Describe your experience with using Azure HDInsight to process and analyze big data.

I have used Azure HDInsight to process and analyze big data in a number of projects, and it has been a great experience. One of the key benefits of using Azure HDInsight is the ease of setting up and deploying a cluster. With just a few clicks, I was able to spin up a Hadoop cluster and start processing and analyzing large amounts of data.

The tool offers a range of data processing engines, including Hive, Spark, and MapReduce, which made it easy for me to choose the right engine for the job. For example, when working with a large dataset that required real-time processing, I used Spark, and it provided fast and efficient results.

Another advantage of using Azure HDInsight is the ability to integrate with other Azure services, such as Azure Data Lake Storage, which allowed me to store and access data from a centralized repository. This made it easy to manage the data, and ensure that it was secure and accessible at all times.

Overall, using Azure HDInsight to process and analyze big data has been a positive experience. The tool is easy to use, flexible and provides fast and efficient results, which is critical when working with large amounts of data. I would highly recommend it to anyone looking to process and analyze big data in the cloud.

How have you used Azure Data Factory to orchestrate and automate data workflows?

I have used Azure Data Factory to orchestrate and automate data workflows in the following manner:

1. Data ingestion: I used Azure Data Factory to pull data from various sources like on-premises databases, cloud storage services, and APIs. I utilized the built-in connectors to easily connect to the data sources.
2. Data transformation: I utilized the data transformation activities in Azure Data Factory to clean, filter, and manipulate the data. I used built-in transformations like mapping, pivoting, and aggregating to get the data into the required format.
3. Data storage: I used Azure Data Factory to store the transformed data in the required format. I utilized Azure storage services like Azure Blob Storage, Azure Data Lake Storage, and Azure SQL Database to store the data.
4. Data scheduling: I used Azure Data Factory to schedule the data workflows. I created pipeline workflows that ran on a schedule or on demand. I used triggers to run the pipelines on a specific schedule or in response to a specific event.
5. Monitoring and reporting: I utilized the monitoring and reporting features of Azure Data Factory to keep track of the data workflows. I used the Azure portal to monitor the status of the pipelines, view logs, and view metrics.

In conclusion, Azure Data Factory has proven to be an effective tool for orchestrating and automating data workflows. Its built-in connectors, transformations, and scheduling capabilities make it easy to manage and monitor data workflows.

Can you discuss your experience with Azure Stream Analytics for real-time data processing and analytics?

Azure Stream Analytics is a real-time data processing and analytics service provided by Microsoft. It allows organizations to analyze large volumes of data in real time, enabling them to quickly identify trends, patterns, and insights. With Azure Stream Analytics, organizations can process and analyze data from a wide range of sources, including IoT devices, social media, and logs, in near real time.

An example of its features and capabilities is that Azure Stream Analytics supports a range of input and output options, including Azure Event Hubs, Azure IoT Hubs, and Azure Blob storage, making it easy to integrate with existing systems and data sources. It also supports a variety of query languages, including SQL, C#, and JavaScript, enabling organizations to perform complex data processing and analysis tasks with ease.

One of the key advantages of Azure Stream Analytics is its ability to scale on demand, making it suitable for organizations of all sizes. It also supports complex event processing, allowing organizations to detect patterns and correlations across multiple data streams in real time. This makes it an ideal solution for organizations looking to gain insights into their data and respond to business-critical events quickly.

In conclusion, Azure Stream Analytics is a powerful and versatile solution for real-time data processing and analytics. Its ease of use, scalability, and support for a wide range of data sources and query languages make it an ideal choice for organizations looking to unlock the value of their data in real time.

Have you worked with Azure Machine Learning for predictive analytics and modeling? Can you give an example of a project you worked on?

Yes, I have worked with Azure Machine Learning for predictive analytics and modeling. One project that I worked on was for a retail company. The company was interested in predicting the demand for its products based on various factors such as seasonality, promotional activities, and competitor pricing.

I used Azure Machine Learning to develop a time-series model that could predict the demand for each product. I collected and cleaned the data, which included historical sales data, promotional activities, and competitor pricing. After that, I used the data to train a machine-learning model. The model was trained on a subset of the data and then tested on the remaining data to evaluate its accuracy.

Finally, I deployed the model to Azure Machine Learning and integrated it into the company’s existing systems. This allowed the company to make predictions on demand in real time, which helped them make more informed decisions on inventory management and pricing strategy. The model was a great success and the company was able to increase its profitability as a result.

How do you secure and manage access to data in Azure?

Securing and managing access to data in Azure is an important aspect of any cloud computing implementation. There are several ways to secure and manage access to data in Azure:

1. Azure Active Directory: This is a centralized identity management solution that can be used to secure and manage access to data in Azure. You can use Azure Active Directory to create and manage users, groups, and permissions. This makes it easy to control who can access your data and what they can do with it.
2. Azure Key Vault: This is a secure storage solution that can be used to store secrets and keys for encrypting data in Azure. You can use Azure Key Vault to securely store encryption keys and manage their lifecycle. This makes it easy to manage and secure the encryption keys used to protect your data.
3. Azure Policy: This is a service that can be used to enforce policies for resources in Azure. You can use Azure Policy to enforce policies for data access and management. For example, you can use Azure Policy to ensure that sensitive data is encrypted at rest and in transit.
4. Azure Access Control (ACS): This is a service that can be used to manage access to data in Azure. You can use Azure ACS to set up rules that control who can access your data and what they can do with it.

In summary, there are several tools and services in Azure that you can use to secure and manage access to data. By using these tools and services, you can ensure that your data is secure and that access to it is controlled and managed in a way that meets your needs.

Can you discuss your experience with integrating Azure services with other data sources and tools?

One of my most significant projects was integrating Azure Cosmos DB with an on-premises SQL Server database. The integration was a critical part of the project as we needed to migrate a massive amount of data to the cloud. I utilized the Azure Data Factory to extract and transform data from SQL Server and load it into Azure Cosmos DB. The process was seamless, and I was impressed with how quickly and efficiently the data transfer was completed.

I have also integrated Azure Functions with Azure Event Grid, which allowed us to trigger a function in response to an event in the Event Grid. This integration proved to be very valuable as it allowed us to build a highly scalable and reliable solution.

Another project I worked on was integrating Azure Machine Learning with Power BI. This integration allowed us to consume the insights generated by our machine learning models and visualize them in Power BI dashboards. It was a great experience as it allowed us to communicate complex insights to business stakeholders in an accessible and intuitive manner.

Overall, my experience integrating Azure services with other data sources and tools has been incredibly positive. I have found that Azure provides a comprehensive suite of services that are easy to integrate, making it an ideal platform for building end-to-end data solutions.

Have you worked with Azure Data Warehouse and its integration with other Azure services?

Yes, I am familiar with Azure Data Warehouse and its integration with other Azure services.

Azure Data Warehouse is a cloud-based data platform that provides fast and flexible analytics capabilities. It is designed to handle large amounts of data and perform complex analytical operations with ease. With Azure Data Warehouse, you can quickly and easily load and process data from various sources, including Azure Blob Storage, Azure Data Lake Storage, and on-premises databases.

The integration of Azure Data Warehouse with other Azure services provides a comprehensive and flexible analytics solution that enables you to perform complex data analysis, visualize data, and make informed decisions. Some of the most popular Azure services that integrate with Azure Data Warehouse include:

• Azure Power BI: This is a powerful data visualization tool that provides an interactive and intuitive way to explore and visualize data stored in Azure Data Warehouse.
• Azure Stream Analytics: This service allows you to process real-time data streams from various sources, including IoT devices and social media, and store the results in Azure Data Warehouse for further analysis.
• Azure Databricks: This is a collaborative, cloud-based platform that enables you to build, deploy, and manage big data and machine learning applications. It integrates with Azure Data Warehouse to provide a seamless solution for performing complex data analysis and machine learning.

In conclusion, the integration of Azure Data Warehouse with other Azure services provides a comprehensive and flexible analytics solution that enables organizations to turn large amounts of data into actionable insights.

Can you discuss your experience with optimizing performance and scalability of data processing and storage solutions on Azure?

I have extensive experience in optimizing the performance and scalability of data processing and storage solutions on Azure. As a professional with a strong background in cloud computing and data management, I have worked on several projects where I have had the opportunity to leverage Azure services to deliver high-performance and scalable data processing and storage solutions.

One of my key achievements was working on a project where I was tasked with optimizing a big data processing pipeline that was running on Azure HDInsight. The pipeline was processing large amounts of data from various sources and storing the results in Azure Data Lake Storage. To optimize performance and scalability, I implemented several best practices, such as using optimized data serialization formats, using Azure Data Factory to parallelize the data processing, and using auto-scaling to dynamically adjust the number of nodes in the HDInsight cluster based on the workload.

Another project I worked on involved designing a scalable storage solution for an e-commerce company that was experiencing rapid growth. I recommended using Azure Blob Storage as the primary storage solution, as it provides unlimited scalability and can handle large amounts of unstructured data. To optimize performance, I implemented a caching layer using Azure Redis Cache, which significantly reduced the latency of the storage operations. I also used Azure Functions to automatically process incoming data and store it in the appropriate location in Blob Storage.

In both of these projects, I was able to deliver high-performance and scalable data processing and storage solutions that met the needs of the organizations I worked for. I have a deep understanding of Azure services and best practices for optimizing performance and scalability, and I am confident that I can deliver similar results in future projects.

Basic Interview Questions

1.Define data and the various forms it can take.

Text, stream, audio, video, and metadata are all examples of data formats. Data can also be organized, unorganized, or aggregated.

2. What is structured data, and how does it differ from unstructured data?

Structured data, often known as relational data, is data that follows a tight format and has the same fields or properties throughout. This type of data can be easily searched using query languages like SQL thanks to the shared structure (Structured Query Language).

3. What are the different types of cloud computing environments?

Cloud computing environments consist of the physical and logical infrastructure needed to host services, virtual servers, intelligent apps, and containers for their users. Cloud environments, unlike on-premises physical servers, do not require a capital investment. Structured data is typically maintained in database tables with rows and columns, as well as key columns that illustrate how data in one table links to data in another table’s row.

Since the fields do not easily fit into tables, rows, and columns, semi-structured data is less order than structured data and is not collect in a relational format. Semi-structured data also includes tags that make the data’s organization and hierarchy credible, such as key/value pairs. Non-relational or NoSQL data is another name for semi-structured data. A serialization language represents the interpretation and structure of data in this form.

4. What is unstructured data, and how does it differ from structured data?

Files containing unstructured data, such as images or movies, are commonly release. Although the video file has a general structure and includes semi-structured metadata, the data that contains the video is unstructured. As a result, unstructured data includes images, videos, and other comparable items.

5. Justify the total cost of ownership.

Subscriptions are use to track expenditures in cloud systems like Azure. A subscription can be based on computing units, hours, or transactions. Hardware, disc storage, software, and labor are all included in the price. In terms of service regulation measurement, an on-premises system rarely encounters the cloud due to economies of scale. The expense of running an on-premises server system rarely matches the system’s initial purpose. In cloud systems, the cost is usually more closely related to the actual consumption.

6. What is the lift and shift strategy in Microsoft Azure Data Engineering?

Many clients migrate from physical or virtualized on-premises servers to Azure Virtual Machines when moving to the cloud. Lift and shift is the name of this strategy. Without re-architecting the application, server administrators can move it from a physical environment to Azure Virtual Machines.

7. What does Azure Storage imply?

There are various options for storing data on Azure. Azure Cosmos DB, Azure SQL Database, and Azure Table Storage are just a few of the database options available. Azure provides a variety of message storage and delivery options, including Azure Queues and Event Hubs. You can also use services like Azure Files and Azure Blobs to store loose files.

8. Explain storage account.

A storage account is a container that holds a collection of Azure Storage services. A storage account can only use data services from Azure Storage (Azure Files, Azure Queues, Azure Blobs, and Azure Tables).

9. Describe the different approaches to data stream processing.

The first step in stream processing is to constantly review fresh data, transforming it as it appears to speed up near-real-time insights. Using temporal analysis, computations and collections may be applied to the data and then sent to a Power BI dashboard for real-time display and analysis. This method also includes storing streaming data in a data store, such as Azure Data Lake Storage (ADLS) Gen2, for further analysis or better analytics workloads.

Continuing receiving data in a data store, such as Azure Data Lake Storage (ADLS) Gen2, is another option for processing streaming data. The static data can then be reassemble in groups at a later time.

10. What exactly do you mean when you say “stream processing”?

Stream processing is the continuous intake, transformation, and analysis of data streams created by apps, IoT devices and sensors, and other resources in order to generate actionable insights in near-real time. To assess changes or differences across time, datastream analysis typically employs temporal operations such as temporal joins, windowed aggregates, and temporal analytic functions.

11. For new storage accounts, what kind of account does Microsoft recommend?

For new storage accounts, Microsoft recommends using the General-purpose v2 option.

12. Describe the keys to the Storage account.

Shared keys are referred to as storage account keys in Azure Storage accounts. For each storage account you create, Azure produces two of these keys (main and secondary). The keys grant access to all of the account’s contents.

13. What is auditing access, and how does it work?

Auditing is another aspect of access control. The built-in Storage Analytics service can be use to audit Azure Storage access.

14. What is the difference between OLTP and OLAP?

OLTP (Online Transaction Processing) systems are another name for transactional databases. OLTP systems can support a high number of users, respond quickly, and handle massive amounts of data. They’re also quite reliable (meaning they have very little downtime) and usually handle tiny or almost basic transactions. OLAP (Online Analytical Processing) systems, on the other hand, frequently accommodate multiple users, have faster reaction times, are less available, and typically handle large and complex transactions. The terms OLTP and OLAP aren’t use as frequently as they once were, but knowing what they mean makes it easier to identify your application’s requirements.

15. What is Azure Stream Analytics, and how does it work?

On Azure, Azure Stream Analytics is the recommended service for stream analytics. Stream Analytics also allows you to handle, consume, and analyse streaming data from Azure Event Hubs (including Apache Kafka-based Azure Event Hubs) and Azure IoT Hub. Static data ingestion from Azure Blob Storage can also be configure.

16. Describe some of the advantages of using Azure Stream Analytics to process streaming data.

The following are the main benefits of using Azure Stream Analytics to process streaming data:

• The ability to see and preview incoming data directly in the Azure interface.
• Using the SQL-like Stream Analytics Query Language and the Azure portal to write and test transformation questions (SAQL). SAQL’s built-in functions can be use to detect appealing patterns in the incoming stream of data.
• Build and start an Azure Stream Analytics task to quickly deploy your inquiries into production.

17. Define Streaming Units.

The computer resources allocate to complete Stream Analytics jobs are referred to as Streaming Units (SUs). Increasing the number of SUs indicates that additional CPU and memory resources have been allocated to the task.

18. What does Azure Synapse Link for Azure Cosmos DB mean to you?

Azure Synapse Link for Azure Cosmos DB is a cloud-native HTAP capability that enables you to do near-real-time analytics on operational data stored in Azure Cosmos DB. The Azure Synapse Link also allows Azure Synapse Analytics and Azure Cosmos DB to work together seamlessly.

19. What exactly do you mean by Azure Event Hub?

Azure Event Hubs is a cloud-based event processing tool that can collect and handle millions of events per second. Event Hubs serve as the front entrance to an event pipeline, accepting and collecting data until processing resources are available. A publisher is an entity that sends data to the Event Hubs, and a consumer or subscriber is an entity that examines data from the Event Hubs. Additionally, Azure Event Hubs stands between these two entities to spread an event stream’s production (from the publisher) and consumption (to a subscriber). This decoupling aids in the management of circumstances in which the rate of event creation exceeds the rate of consumption.

20. Explain Data Engineering Events.

A notification is made up of a short packet of data (a datagram) called an event. Individually or in batches, events can be announce, but no single publication (individual or batch) can exceed 1 MB.

21. What does it mean to be a member of an Event Hub consumer group?

A consumer group in Event Hub represents a unique view of an Event Hub data stream. Different subscriber apps can create an event stream independently and without influencing other apps by using distinct consumer groups.

22. In Cloud Shell, how do I modify files?

To modify all of the data that makes up the application and unite the Event Hub namespace, Event Hub name, shared access policy name, and primary key, utilise one of Cloud Shell’s built-in editors. Nano, emacs, vim, and the Cloud Shell editor are all supported by Azure Cloud Shell (code). Simply type the name of the editor you want to use, and the environment will launch it.

23. Define the Azure Databricks concept.

Azure Databricks is a fully manage, cloud-base Big Data and Machine Learning tool that allows developers to accelerate AI and creativity by examining how to construct enterprise-grade production data apps.

24. How can I set up a Databricks workspace in Azure?

To set up an Azure Databricks workspace, follow these steps:

• Start by going to the Azure portal.
• Click Make a Resource in the upper left corner.
• Look up “Databricks” in the dictionary.
• Select Azure Databricks from the drop-down menu.
• Select Create on the Azure Databricks page.
• To create your Azure Databricks workspace, enter the following values:
• Group of Resources: Use Create a new resource group and give it a unique name.
• Select a deployment site that is convenient for you. See Azure services available by region for a list of regions that Azure Databricks supports.
• Workplace Name: Give your workspace a distinct name.

25. Define the term cluster.

Clusters, or networked computers, support the notebooks and work together to process your data. The first step is to put together a cluster.

26. How can the Event Hub’s resiliency be assess?

Even if the hub is inaccessible, Azure Event Hubs saves messages received from your sender application. Messages collected after the hub is down are strongly forwarded to our application as soon as the hub is up and running again. You can use the Azure portal to disable your Event Hub to test this functionality. When you re-enable your Event Hub, you can re-run your receiver application and check whether all sender messages were successfully transferred and received using Event Hubs metrics for your namespace.

27. What do you think of your Data Engineer responsibilities?

A new set of tools, architectures, and platforms must be learned by data engineers. Additional technologies such as Azure Cosmos DB and Azure HDInsight may be use by data engineers. Languages like Python or HiveQL can be used to manage data in big-data systems.

28. Define role instance in Azure.

A role instance is a virtual machine in which application code is executed using running role configurations. According to the definition in the cloud service configuration files, a role can have many instances.

29. How many cloud service jobs does Azure offer?

A set of application and configuration files make up a cloud service role. Azure offers two different types of roles:

• Web role: This role provides a dedicate web server that is part of IIS (Internet Information Services) and is use to deploy and host front-end websites automatically.
• Role of the worker: These roles allow the programs hosted within them to operate asynchronously for longer periods of time, are unaffected by user interactions and do not often use IIS. They’re also great for running background tasks. The applications are self-contained and run on their own.

30. What is the purpose of the Azure Diagnostics API?

• The Azure Diagnostics API allows us to collect diagnostic data from Azure-based apps such as performance monitoring, system event logs, and so on.
• Azure Diagnostics must be enable for cloud service roles in order to monitor data verbosely.
• The diagnostics information can be utilised to create visual chart representations for enhanced monitoring and performance metric alerts.

The post Exam DP-203: Data Engineering on Microsoft Azure Interview Questions appeared first on Testprep Training Tutorials.