If you have the knowledge and expertise necessary to build, implement, and monitor cloud-native applications that store and manage data then, Designing and Implementing Cloud-Native Apps Using Microsoft Azure Cosmos DB (DP-420) exam is the best choice for you. This exam includes a globally distributed database and modern app development using a combination of Microsoft’s Azure Cosmos DB service and a fully managed NoSQL database.
You need to study various concepts and topics if you want to successfully pass this exam. To learn more about it, continue along as we will provide a thorough review of the DP-420 exam along with unique methods and resources for passing it.
Let’s start with the overview of the Microsoft Azure DP-420 Exam!
What is the Microsoft DP-420 Exam?
The Microsoft DP-420 test is intended for those who are proficient in creating and executing data models and data distribution, putting data into an Azure Cosmos DB database, and optimizing and managing the solution. These individuals combine the solution with other Azure services. They also create, put into practice, and oversee solutions that take performance, security, availability, and resilience needs into account.
But, what knowledge do we need for this?
In order to be confident about this exam, you need to have knowledge in:
- Creating apps for Azure and working with Azure Cosmos DB database technologies.
- Developing software using the Azure Cosmos DB.NET SDK for SQL API.
- Constructing suitable index rules and writing effective Azure Cosmos DB SQL queries.
- Using JavaScript to build server-side objects.
- Managing and provisioning resources on Azure.
- Utilizing PowerShell, comprehending JSON, and understanding C# or Java code.
Microsoft DP-420: Basic Exam Details:
Microsoft DP-420: Designing and Implementing Cloud-Native Applications Using the Microsoft Azure Cosmos DB exam will have 40-60 questions. The minimum passing score for the DP-420 exam is 700. And, this DP-420 exam can be taken in the English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian, and Indonesian (Indonesia) language. The cost of this exam is $165 USD*.
We have covered the overview and basics of the Microsoft DP-420 exam, but how to prepare and what are the tricks that we have to pass this exam, let’s find out!
Pathway for passing the Microsoft DP-420 Exam
As we know that passing the Microsoft DP-420 exam will help you become Microsoft Certified: Azure Cosmos DB Developer Specialty. This role deals with designing, implementing, and monitoring cloud-native applications that store and manage data. Moreover, earning this will help you advance your skills in:
- Designing, implementing and monitoring systems that take performance, security, availability, and resilience requirements into account.
- Designing and implementing data models and data distribution
- Loading data into an Azure Cosmos DB database
- Optimizing and maintaining the solution.
However, to work on these skills, the very first step is to get familiar with the exam course outline!
1. Understanding the exam topics
The goal of the Microsoft DP-420 exam study guide is to provide you with an overview of the concepts you’ll come across when preparing for the examination. The most important component to start with is the DP-420 exam objectives. It is advised that you read over and review each of the exam subjects. The topics, however, are divided into sections and sub-sections. You can study for the test more efficiently if you comprehend the topics’ fundamentals. Here are the key topics for the Microsoft DP-420 test:
1. Design and Implement Data Models (35–40%)
Design and implement a non-relational data model for Azure Cosmos DB Core for NoSQL
- develop a design by storing multiple entity types in the same container
- developing a design by storing multiple related entities in the same document (Microsoft Documentation: Table design patterns)
- develop a model that denormalizes data across documents (Microsoft Documentation: Data modeling in Azure Cosmos DB)
- developing a design by referencing between documents
- identify primary and unique keys (Microsoft Documentation: Primary and Foreign Key Constraints)
- identify data and associated access patterns
- Specify a default time to live (TTL) on a container for a transactional store (Microsoft Documentation: Configure time to live in Azure Cosmos DB)
Design a data partitioning strategy for Azure Cosmos DB Core for NoSQL
- choose a partitioning strategy based on a specific workload (Microsoft Documentation: Horizontal, vertical, and functional data partitioning)
- choose a partition key (Microsoft Documentation: Partitioning and horizontal scaling in Azure Cosmos DB)
- plan for transactions when choosing a partition key
- evaluate the cost of using a cross-partition query (Microsoft Documentation: Optimize request cost in Azure Cosmos DB)
- calculate and evaluate data distribution based on partition key selection (Microsoft Documentation: Horizontal, vertical, and functional data partitioning)
- calculate and evaluate throughput distribution based on partition key selection
- construct and implement a synthetic partition key (Microsoft Documentation: Create a synthetic partition key)
- Design and implement a hierarchical partition key
- design partitioning for workloads that require multiple partition keys (Microsoft Documentation: Partitioning and horizontal scaling in Azure Cosmos DB)
Plan and implement sizing and scaling for a database created with Azure Cosmos DB
- evaluate the throughput and data storage requirements for a specific workload (Microsoft Documentation: Introduction to provisioned throughput in Azure Cosmos DB)
- choose between serverless and provisioned models (Microsoft Documentation: choose between provisioned throughput and serverless)
- choose when to use database-level provisioned throughput (Microsoft Documentation: Introduction to provisioned throughput in Azure Cosmos DB)
- design for granular scale units and resource governance
- evaluate the cost of the global distribution of data (Microsoft Documentation: Optimize request cost in Azure Cosmos DB)
- configure throughput for Azure Cosmos DB by using the Azure portal
Implement client connectivity options in the Azure Cosmos DB SDK
- choose a connectivity mode (gateway versus direct) (Microsoft Documentation: Azure Cosmos DB SQL SDK connectivity modes)
- implement a connectivity mode (Microsoft Documentation: Connectivity modes and requirements)
- create a connection to a database (Microsoft Documentation: Connecting to the Database Engine)
- enable offline development by using the Azure Cosmos DB emulator (Microsoft Documentation: Install and use the Azure Cosmos DB Emulator)
- handle connection errors
- implement a singleton for the client
- specify a region for global distribution (Microsoft Documentation: Set up Azure Cosmos DB global distribution using the SQL API)
- configure client-side threading and parallelism options (Microsoft Documentation: Performance tips for Azure Cosmos DB and .NET)
- enable SDK logging (Microsoft Documentation: Logging with the Azure SDK for .NET)
Implement data access by using the SQL Language for Azure Cosmos DB for NoSQL
- implement queries that use arrays, nested objects, aggregation, and ordering (Microsoft Documentation: Common query patterns in Azure Stream Analytics)
- implementing a correlated subquery (Microsoft Documentation: Subqueries (SQL Server))
- implement queries that use array and type-checking functions (Microsoft Documentation: Type checking functions (Azure Cosmos DB))
- implementing queries that use mathematical, string, and date functions (Microsoft Documentation: C# Functions and Operators (U-SQL))
- implementing queries based on variable data (Microsoft Documentation: Query expression basics)
Implement data access by using Azure Cosmos DB for NoSQL SDKs
- choose when to use a point operation versus a query operation (Microsoft Documentation: Basic Query Operations (Visual Basic))
- implement a point operation that creates, updates, and deletes documents (Microsoft Documentation: Implement Azure Cosmos DB SQL API point operations)
- implement an update by using a patch operation
- manage multi-document transactions using SDK Transactional Batch (Microsoft Documentation: Transactional batch operations in Azure Cosmos DB using the .NET SDK)
- perform a multi-document load using Bulk Support in the SDK
- implement optimistic concurrency control using ETags
- Override default consistency by using query request options
- implementing session consistency by using session tokens (Microsoft Documentation: Manage consistency levels in Azure Cosmos DB)
- Applying a query operation that includes pagination (Microsoft Documentation: Efficiently Paging Through Large Amounts of Data (C#))
- implement a query operation by using a continuation token (Microsoft Documentation: Pagination in Azure Cosmos DB)
- handle transient errors and 429s
- specify TTL for a document (Microsoft Documentation: Configure time to live in Azure Cosmos DB)
- retrieve and use query metrics
Implement server-side programming in Azure Cosmos DB Core for NoSQL by using JavaScript
- write, deploy, and call a stored procedure (Microsoft Documentation: Create a stored procedure)
- design stored procedures to work with multiple items transactionally (Microsoft Documentation: Transactional batch operations in Azure Cosmos DB using the .NET SDK)
- implement and call triggers (Microsoft Documentation: CREATE TRIGGER (Transact-SQL))
- implement a user-defined function (Microsoft Documentation: User-Defined Functions)
2. Design and Implement Data Distribution (5–10%)
Design and implement a replication strategy for Azure Cosmos DB
- choose when to distribute data (Microsoft Documentation: designing distributed tables using dedicated SQL pool)
- define automatic failover policies for regional failure for Azure Cosmos DB for NoSQL
- perform manual failovers to move single master write regions
- choose a consistency model (Microsoft Documentation: Consistency levels in Azure Cosmos DB)
- identify use cases for different consistency models (Microsoft Documentation: Consistency levels in Azure Cosmos DB)
- Evaluate the impact of consistency model choices on availability and associated request unit (RU) cost
- evaluate the impact of consistency model choices on performance and latency
- specify application connections to replicated data (Microsoft Documentation: Database replication)
Design and implement multi-region write
- choose when to use multi-region write (Microsoft Documentation: Configure multi-region writes in your applications that use Azure Cosmos DB)
- implement multi-region write
- implement a custom conflict resolution policy for Azure Cosmos DB for NoSQL
3. Integrate an Azure Cosmos DB Solution (5–10%)
Enable Azure Cosmos DB analytical workloads
- enable Azure Synapse Link (Microsoft Documentation: Azure Synapse Link for Azure Cosmos DB)
- choose between Azure Synapse Link and Spark Connector (Microsoft Documentation: Azure Synapse Analytics)
- enable the analytical store on a container (Microsoft Documentation: Azure Cosmos DB analytical store)
- enable a connection to an analytical store and query from Azure Synapse Spark or Azure Synapse SQL (Microsoft Documentation: Configure and use Azure Synapse Link for Azure Cosmos DB)
- perform a query against the transactional store from Spark (Microsoft Documentation: Query Azure Cosmos DB with Apache Spark for Azure Synapse Analytics)
- write data back to the transactional store from Spark (Microsoft Documentation: Manage data with Azure Cosmos DB Spark 3 OLTP Connector for SQL API)
Implement solutions across services
- integrate events with other applications by using Azure Functions and Azure Event Hubs (Microsoft Documentation: Azure Event Hubs trigger and bindings for Azure Functions)
- denormalize data by using Change Feed and Azure Functions (Microsoft Documentation: Change feed design patterns in Azure Cosmos DB)
- enforce referential integrity by using Change Feed and Azure Functions (Microsoft Documentation: Optimize databases by using advanced modeling patterns for Azure Cosmos DB)
- aggregate data by using Change Feed and Azure Functions, including reporting (Microsoft Documentation: Use Azure Cosmos DB change feed to visualize real-time data analytics)
- archive data by using Change Feed and Azure Functions
- implement Azure Cognitive Search for an Azure Cosmos DB solution (Microsoft Documentation: Index data from Azure Cosmos DB using SQL or MongoDB APIs)
4. Optimize an Azure Cosmos DB Solution (15–20%)
Optimize query performance when using the API for Azure Cosmos DB for NoSQL
- adjust indexes on the database (Microsoft Documentation: Modify an Index)
- calculate the cost of the query
- retrieve request unit cost of a point operation or query (Microsoft Documentation: Find the request unit charge for operations executed in Azure Cosmos DB SQL API)
- implement Azure Cosmos DB integrated cache (Microsoft Documentation: Azure Cosmos DB integrated cache)
Design and implement change feeds for Azure Cosmos DB for NoSQL
- develop an Azure Functions trigger to process a change feed (Microsoft Documentation: Serverless event-based architectures with Azure Cosmos DB and Azure Functions)
- consume a change feed from within an application by using the SDK (Microsoft Documentation: Change feed in Azure Cosmos DB)
- manage the number of change feed instances by using the change feed estimator (Microsoft Documentation: Use the change feed estimator)
- implement denormalization by using a change feed
- Applying referential enforcement by using a change feed (Microsoft Documentation: Optimize databases by using advanced modeling patterns for Azure Cosmos DB)
- implementing aggregation persistence by using a change feed (Microsoft Documentation: Change feed design patterns in Azure Cosmos DB)
- implement data archiving by using a change feed (Microsoft Documentation: Change feed support in Azure Blob Storage)
Define and implement an indexing strategy for an Azure Cosmos DB for NoSQL
- choose when to use a read-heavy versus write-heavy index strategy
- choose an appropriate index type (Microsoft Documentation: Indexes)
- configure a custom indexing policy by using the Azure portal
- implement a composite index (Microsoft Documentation: CREATE INDEX (Transact-SQL))
- optimize index performance (Microsoft Documentation: Optimize index maintenance to improve query performance)
5. Maintain an Azure Cosmos DB Solution (25–30%)
Monitor and troubleshoot an Azure Cosmos DB solution
- evaluate response status code and failure metrics (Microsoft Documentation: Supported metrics with Azure Monitor)
- monitor metrics for normalized throughput usage by using Azure Monitor (Microsoft Documentation: Monitor and debug with insights in Azure Cosmos DB)
- monitoring server-side latency metrics by using Azure Monitor (Microsoft Documentation: monitor the server-side latency for operations in an Azure Cosmos DB container or account)
- monitor data replication in relation to latency and availability (Microsoft Documentation: Measure Latency and Validate Connections for Transactional Replication)
- configure Azure Monitor alerts for Azure Cosmos DB (Microsoft Documentation: Create alerts for Azure Cosmos DB using Azure Monitor)
- implement and query Azure Cosmos DB logs (Microsoft Documentation: Monitor Azure Cosmos DB data by using diagnostic settings in Azure)
- monitor throughput across partitions (Microsoft Documentation: Monitor and debug with insights in Azure Cosmos DB)
- monitoring distribution of data across partitions (Microsoft Documentation: Horizontal, vertical, and functional data partitioning)
- monitor security by using logging and auditing (Microsoft Documentation: Azure security logging and auditing)
Implement backup and restore for an Azure Cosmos DB solution
- choose between periodic and continuous backup (Microsoft Documentation: Online backup and on-demand data restore in Azure Cosmos DB)
- configure periodic backup (Microsoft Documentation: Configure Azure Cosmos DB account with periodic backup)
- configure continuous backup and recovery (Microsoft Documentation: Continuous backup with point-in-time restore in Azure Cosmos DB)
- locate a recovery point for a point-in-time recovery (Microsoft Documentation: Manage recovery points)
- recover a database or container from a recovery point (Microsoft Documentation: Recover using automated database backups – Azure SQL Database & SQL Managed Instance)
Implement security for an Azure Cosmos DB solution
- choose between service-managed and customer-managed encryption keys (Microsoft Documentation: Customer-managed keys for Azure Storage encryption)
- configure network-level access control for Azure Cosmos DB (Microsoft Documentation: Configure IP firewall in Azure Cosmos DB)
- configure data encryption for Azure Cosmos DB (Microsoft Documentation: Data encryption in Azure Cosmos DB)
- manage control plane access to Azure Cosmos DB by using Azure role-based access control (RBAC) (Microsoft Documentation: Azure role-based access control in Azure Cosmos DB)
- managing data plane access to Azure Cosmos DB by using keys (Microsoft Documentation: Secure access to data in Azure Cosmos DB)
- Manage data plane access to Azure Cosmos DB by using Microsoft Entra ID
- configure Cross-Origin Resource Sharing (CORS) settings (Microsoft Documentation: Cross-Origin Resource Sharing (CORS) support for Azure Storage)
- manage account keys by using Azure Key Vault (Microsoft Documentation: Manage storage account keys with Key Vault and the Azure CLI)
- implementing customer-managed keys for encryption
- implement Always Encrypted (Microsoft Documentation: Configure Always Encrypted by using Azure Key Vault)
Implement data movement for an Azure Cosmos DB solution
- choose a data movement strategy
- move data by using client SDK bulk operations
- moving data by using Azure Data Factory and Azure Synapse pipelines (Microsoft Documentation: Pipelines and activities in Azure Data Factory and Azure Synapse Analytics)
- move data by using a Kafka connector
- moving data by using Azure Stream Analytics (Microsoft Documentation: Azure Stream Analytics)
- move data by using the Azure Cosmos DB Spark Connector (Microsoft Documentation: Manage data with Azure Cosmos DB Spark 3 OLTP Connector for SQL API)
Implement a DevOps process for an Azure Cosmos DB solution
- choose when to use declarative versus imperative operations
- provision and manage Azure Cosmos DB resources by using Azure Resource Manager templates (Microsoft Documentation: Manage Azure Cosmos DB Core (SQL) API resources with Azure Resource Manager templates)
- migrate between standard and autoscale throughput by using PowerShell or Azure CLI (Microsoft Documentation: Provision autoscale throughput on database or container in Azure Cosmos DB – SQL API)
- initiate a regional failover by using PowerShell or Azure CLI
- maintain index policies in production by using ARM templates
2. Advance your skill level using Microsoft Learning Path
To help with exam preparation, Microsoft offers access to learning pathways with a variety of resources. These courses include a variety of modules that cover various topics to improve your understanding of concepts. Think of this as a knowledge base that provides a detailed description of the exam topics covered in the DP-420 exam. The learning paths are:
– Use the Azure Cosmos DB SQL API to begin
Reference: https://learn.microsoft.com/en-us/training/paths/get-started-azure-cosmos-db-sql-api/
Learn how to set up your first account, database, and container, as well as the Azure Cosmos DB SQL API.
Prerequisites:
You should have the following knowledge before beginning this study path:
- Familiarity with the Azure portal and Azure.
- Knowledge of C# programming.
Modules in this Learning Path:
- Introduction to the SQL API for Azure Cosmos DB.
- Try the SQL API for Azure Cosmos DB.
– Prepare and implement Azure Cosmos DB SQL API
Reference: https://learn.microsoft.com/en-us/training/paths/plan-implement-azure-cosmos-db-sql-api/
Create a new Azure Cosmos DB SQL API account with provisioning options and configuration options in mind.
Prerequisites:
You should have prior experience creating cloud apps using Microsoft C# or another programming language before beginning this learning path.
Modules in this Learning Path:
- Plan the required resources.
- Set up the containers and Azure Cosmos DB SQL API database.
- Transmit and receive data using the Azure Cosmos DB SQL API.
– Utilize the SDK to connect to the Azure Cosmos DB SQL API.
Reference: https://learn.microsoft.com/en-us/training/paths/connect-to-azure-cosmos-db-sql-api-sdk/
To connect from a.NET application to an Azure Cosmos DB SQL API account, use Microsoft.Azure.Cosmos module from NuGet.
Prerequisites:
You should have prior experience creating cloud apps using Microsoft C# or another programming language before beginning this learning path.
Modules in this Learning Path:
- Use the SQL API SDK for Azure Cosmos DB.
- Before downloading the Microsoft.Azure.Cosmos library to utilize in a.NET application, learn more about it.
- Configuring Azure Cosmos DB SQL API SDK
– Access and manage data with the Azure Cosmos DB SQL API SDKs
Reference: https://learn.microsoft.com/en-us/training/paths/access-manage-data-azure-cosmos-db-sql-api-sdks/
Use the .NET SDK for Azure Cosmos DB SQL API to perform common operations on databases, containers, and items.
Prerequisites:
You should have prior experience creating cloud apps using Microsoft C# or another programming language before beginning this learning path.
Modules in this Learning Path:
- Applying Azure Cosmos DB SQL API point operations
- Performing cross-document transactional operations with the Azure Cosmos DB SQL API
- Processing bulk data in Azure Cosmos DB SQL API
– Execute queries in Azure Cosmos DB SQL API
Reference: https://learn.microsoft.com/en-us/training/paths/execute-queries-azure-cosmos-db-sql-api/
Creating SQL queries for the Azure Cosmos DB SQL API using the Data Explorer and the .NET SDK
Prerequisites:
You should have prior experience creating cloud apps using Microsoft C# or another programming language before beginning this learning path.
Modules in this Learning Path:
- Querying the Azure Cosmos DB SQL API
- Authoring complex queries with the Azure Cosmos DB SQL API
– Define and implement an indexing strategy for Azure Cosmos DB SQL API
Creating custom indexing policies for Azure Cosmos DB SQL API containers.
Prerequisites:
You should have prior experience creating cloud apps using Microsoft C# or another programming language before beginning this learning path.
Modules in this Learning Path:
- Defining indexes in Azure Cosmos DB SQL API
- Customizing indexes in Azure Cosmos DB SQL API
– Integrate Azure Cosmos DB SQL API with Azure services
Reference: https://learn.microsoft.com/en-us/training/paths/integrate-azure-cosmos-db-sql-api-azure-services/
Integrating Azure Cosmos DB SQL API with Azure Cognitive Search, Azure Functions, and your own solutions.
Prerequisites:
You should have prior experience creating cloud apps using Microsoft C# or another programming language before beginning this learning path.
Modules in this Learning Path:
- Consuming an Azure Cosmos DB SQL API change feed using the SDK
- Handling events with Azure Functions and Azure Cosmos DB SQL API change feed
- Searching Azure Cosmos DB SQL API data with Azure Cognitive Search
– Implement a data modeling and partitioning strategy for Azure Cosmos DB SQL API
This learning path will teach you how Azure Cosmos DB scales containers using partitioning and how thinking carefully about your data architecture may help you fulfill the performance requirements of your applications.
Prerequisites:
Before starting this learning path, you should already have:
- Familiarity with Azure and the Azure portal.
- Experience programming with C#.
Modules in this Learning Path:
- Implementing a non-relational data model
- Designing a data partitioning strategy
– Design and implement a replication strategy for Azure Cosmos DB SQL API
Planning and implementing techniques to replicate data across the globe in Azure Cosmos DB SQL API.
Prerequisites:
You should have prior experience creating cloud apps using Microsoft C# or another programming language before beginning this learning path.
Modules in this Learning Path:
- Configuring replication and manage failovers in Azure Cosmos DB
- Using consistency models in Azure Cosmos DB SQL API
- Configuring multi-region write in Azure Cosmos DB SQL API
– Optimize query and operation performance in Azure Cosmos DB SQL API
Reference: https://learn.microsoft.com/en-us/training/paths/optimize-query-performance-azure-cosmos-db-sql-api/
Optimizing the performance of your queries and operations using Azure Cosmos DB SQL API.
Prerequisites:
You should have prior experience creating cloud apps using Microsoft C# or another programming language before beginning this learning path.
Modules in this Learning Path:
- Customizing an indexing policy in Azure Cosmos DB SQL API
- Measuring index performance in Azure Cosmos DB SQL API
- Implementing integrated cache in Azure Cosmos DB SQL API
– Monitor and troubleshoot an Azure Cosmos DB SQL API solution
Reviewing the common Cosmos DB administrative tasks of monitoring performance metrics, backup, and security used in Azure.
Prerequisites:
You should have prior experience creating cloud apps using Microsoft C# or another programming language before beginning this learning path.
Modules in this Learning Path:
- Measuring performance in Azure Cosmos DB SQL API
- Monitoring responses and events in Azure Cosmos DB SQL API
- Implementing backup and restore for Azure Cosmos DB SQL API
- Applying security in Azure Cosmos DB SQL API
– Manage an Azure Cosmos DB SQL API solution using DevOps practices
Using the command line and Azure Resource Manager for automating common management tasks for Azure Cosmos DB SQL API.
Prerequisites:
You should have prior experience creating cloud apps using Microsoft C# or another programming language before beginning this learning path.
Modules in this Learning Path:
- Writing management scripts for Azure Cosmos DB SQL API
- Creating resource template for Azure Cosmos DB SQL API
– Create server-side programming constructs in Azure Cosmos DB SQL API
Create user-defined functions, triggers, and server-side stored procedures using JavaScript.
Prerequisites:
You should have prior experience creating cloud apps using Microsoft C# or another programming language before beginning this learning path.
Modules in this Learning Path:
- Building multi-item transactions with the Azure Cosmos DB SQL API
- Expanding query and transaction functionality in Azure Cosmos DB SQL API
3. Get trained with Instructor-led training
Developers can learn how to construct applications utilizing the Azure Cosmos DB SQL API and SDK in this course. This course will gain knowledge of how to use the SDK to carry out routine tasks, manage resources, develop effective queries, and set indexing policies.
Audience Overview:
- You must be familiar with creating cloud-native applications using the Azure Cosmos DB SQL API and its many SDKs.
- Proficiency in Java, Python, C#, or JavaScript.
- Knowledge in writing code that communicates with a NoSQL or SQL database platform.
Prerequisites:
Requirements for this course include:
- Understanding of Microsoft Azure and proficiency with the Azure portal (AZ-900 equivalent).
- Intermediate-level writing proficiency in a language that Azure supports. (Java, Python, JavaScript, C#).
- having the ability to connect to and use a SQL or NoSQL database solution. (Oracle, MongoDB, Cassandra, SQL Server, etc.)
4. Get connected with Online Study Groups/Communities
Online study groups can be helpful for test preparation. In other words, involvement in study groups will help you stay in touch with experts and professionals who are already traveling this pathway. You can take the DP-420 exam study notes and utilize this group to discuss any issues or questions you have about the exam.
5. Gain experience in Azure Cosmos DB Service
You can explore a number of features by entering the Azure Cosmos DB services. You’ll discover the special capabilities of Cosmos DB, including its multi-model, multi-API, and different degrees of consistency, which may assist you in selecting the best API and model for your application.
Azure Cosmos DB’s automated management, updates, and patching save you from the burden of database administration because it is a completely managed service. Additionally, it manages capacity using affordable serverless and automated scaling solutions that adapt to application requirements to balance capacity with demand.
Use this to run workloads that experience infrequent or irregular traffic and pay only for the resources utilized for each database operation. There are no minimum fees or capacity planning.
6. Start taking Practice Test
Practice examinations are essential for better preparation since they let you assess your strengths and weaknesses. You can start taking practice examinations for the DP-420 exam, and doing so will not only help you analyze or evaluate yourself but will also improve your answering skills, allowing you to save a lot of time. Additionally, when you’ve covered one entire topic, is when you should start administering practice examinations.
Conclusion
The best strategy to work on your dream and have a successful career is to obtain the Microsoft Certified – Azure Cosmos DB Developer Specialty certification. Your understanding of creating and implementing data models and data distribution, integrating Azure Cosmos DB solutions, and optimizing Azure Cosmos DB solutions will be validated by this exam. To do this, you may need to modify your DP-420 exam preparation methods in accordance with the most recent developments in order to get the most out of your efforts. Create a study schedule and pattern based on the provided information, and then begin the preparation process in steps by step manner.
