DP-201 Interview Questions

  1. Home
  2. DP-201 Interview Questions
Exam DP-201: Designing an Azure Data Solution Interview Questions

The most critical stage in achieving exam achievement is to prepare for a job interview. One of the most important steps in your career will be the job interview. Since this is your finest chance to impress recruiters and leave an indelible impression by performing at your best, make the most of it. Moreover, we have discussed the Exam DP-201: Designing an Azure Data Solution Interview Questions and answers in the following sections.

As a result, applicants who take this exam tend to struggle in the interview phase for a variety of reasons, including a lack of knowledge about the firm, job function, and, most significantly, ignorance of the most likely interview questions. So, stick with us to improve your interview abilities and ace the interview.

Some of the general questions include:

What do you know about Exam DP-201: Designing an Azure Data Solution?

The DP-201: Designing an Azure Data Solution is for candidates who aspire to be Microsoft Azure data engineers. Candidates under this designation are required to collaborate with business stakeholders to identify and meet the data requirements to design data solutions that use Azure data services. Moreover, this exam basically measures your ability to accomplish technical tasks.

What is Microsoft Azure? 

Microsoft Azure, often known as Azure, is a cloud platform for creating, deploying and managing services and applications with having the power of the global network of data centers. This is an ever-expanding network that has allowed people to break into the technology sector. It’s also an open and adaptable cloud platform that aids in development, data storage, service hosting, and management.

Who are Azure data engineers?

In today’s society, data is one of the most valuable assets a person can possess. As a result, there is a particular need to keep your personal data safe and secure, and Microsoft, as an operating system cloud-service provider, ensures this. They hire Azure data engineers, whose primary responsibilities include creating Azure data storage solutions that leverage relational and non-relational data stores, batch and real-time data processing solutions, and data security and compliance solutions.

Who are business stakeholders?

A stakeholder is a group of people that has an interest in a company and can either affect by the business. The primary stakeholders in a typical corporation are its:

  • Investors
  • Employees
  • Customers
  • Suppliers.

What are the skills of an Azure data engineer?

Azure Cosmos DB, Azure Synapse Analytics, Azure Data Lake Storage, Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage.

What is Azure Cosmos DB?

In today’s technologically advanced environment, duties must be very responsive and available at all times. These applications must be put in data centres that are close to their users in order to achieve and complete this objective, as well as provide quick responses to clients. Because everything must be done quickly and effectively, Azure Cosmos DB, a fully managed NoSQL database for contemporary app development, is in charge. With automated management, updates, and patching, Azure Cosmos DB takes database administration out of your hands.

What is Azure Synapse Analytics?

Azure Synapse Analytics is data integration, enterprise data warehousing, and big data analytics service from Microsoft. It allows its clients to query data on their own terms. Azure Synapse unifies these worlds with a consistent experience for ingesting, exploring, preparing, managing and serving data for instant BI and machine learning requirements.

What is Azure Data Lake Storage?

Microsoft Azure Data Lake Storage (ADLS) is a fully manageable, elastic, scalable, and secure file system that works with the Apache Hadoop ecosystem and supports HDFS semantics. It’s designed to operate large-scale analytics systems that need a lot of computational power to process and analyze a lot of data. It offers industry-standard dependability, enterprise-grade security, and limitless storage that can accommodate a wide range of data types.

What is Azure Data Factory?

Raw, disorganized data is frequently kept in relational, non-relational, and other storage systems in the realm of creating data. Raw data, on the other hand, lacks the context and meaning needed to deliver significant insights to analysts, data scientists, and corporate decision-makers. The Azure Data Factory platform is the solution to such data problems. It’s a cloud-based data integration and ETL solution that lets you construct data-driven processes for data transfer and transformation.

What is Azure Stream Analytics?

It’s a real-time analytics and complicated event-processing engine that can evaluate and handle large amounts of fast-moving data from a variety of sources. It’s simple to use, adaptable and can be used anywhere on the job.

What is Azure Databricks?

Azure Databricks is a data analytics platform provided by Microsoft Azure cloud services. In addition, Azure Databricks provides two development environments for data-intensive applications: Azure Databricks SQL Analytics and Azure Databricks Workspace.

What is Azure Databricks SQL Analytics?

Databricks in Azure SQL Analytics is a platform for analysts who wish to execute SQL queries on their data lake, construct and share dashboards, and generate several visualization styles to investigate query results from diverse angles.

What is Azure Databricks Workspace?

Data engineers, data scientists, and machine learning engineers may collaborate in an interactive workspace provided by Azure Databricks Workspace.

What is Azure Blob storage?

Azure Blob Storage aids customers in the creation of data lakes for analytics and offers storage for the development of strong cloud-native and mobile apps. Cost savings from tiered storage for long-term data and the ability to flexibly run high-performance computing and machine learning applications.

Explain what are technical tasks?

The abilities and knowledge needed to perform specific tasks. Moreover, they are practical and often relate to mechanical, information technology, mathematical, or scientific tasks. Some examples include knowledge of:

  • Programming languages
  • Design programs
  • Mechanical equipment or tools.

Why is data security important?

Every day, technology advances, and the amount of data available grows by the minute. There are various possible hazards to the data you’re holding as your dependence on computers grows. As a result, one of the most recent issues for everyone is data protection. Transactions, knowledge, communications, databases, and infrastructure are all examples of data; an organization’s information is perhaps its most important asset. Therefore, data is the same as any valuable item that has been placed on hold. And, data security is paramount, and everyone should be worried about their personal information and take steps to secure it at all costs. Azure also attempts to secure the data of its customers.

How will you protect and store data in an efficient way?

On a personal level, one should always have an anti-virus system on their operating system so that such it can detect data and information threats. Furthermore, taking prompt action to avoid anomalous data transfers so that one does not regret it after the data has been lost. If you are unable to do so, you should immediately seek the assistance of a professional, such as an Azure data engineer in your area. It’s the best you can do, and it’s the only way to keep your data safe and recoverable. So, make sure you don’t utilize corrupt devices and that you have a backup of your data.

How to design security for data policies and standard?

  • design data encryption for data at rest and in transit
  • design data auditing and data masking
  • plan an archiving strategy
  • design data privacy and data classification
  • design a data retention policy
  • plan to purge data based on business requirements

What are non-relational cloud data stores?

Non-Relational datastores are databases that do not have the tabular schema of rows and columns like relational datastores. Moreover, they provide high performance, easy to use, and scalable. They are also known as NoSQL data stores.

What are relational cloud data stores?

In relational database design, the database usually contains tables consisting of columns and rows. When new data and records are inserted into existing tables or new tables are added. Relationships can then be made between two or more tables. Relational databases work best when the data they contain doesn’t change very often, and when accuracy is crucial.

What are Data Processing Solutions?

  • Processing solutions that use Data Factory and Azure Databricks
  • identify the optimal data ingestion method for a batch processing solution
  • Moreover, identify where processing should take place

What are Azure data storage services?

The Azure Storage platform is Microsoft’s cloud storage solution for modern data storage scenarios. These services are:

  • Durable and highly available
  • Secure
  • Scalable
  • Managed
  • Accessible

Things to keep in mind:

It is critical to understand the fundamentals of an interview before attending. As a result, before beginning to prepare for the interview phase, keep the following items in mind:

  • Research about the company
  • Research about the job roles and responsibilities
  • Thinking about wearing decent \ formals for the interview
  • Having good communication skills
  • Build yourself on confidence
  • Preparing for questions that will be there in the interview
  • Following up with the recruiters.

Start preparing with DP-201 Exam Questions and Online Tutorial

Exam DP-201: Designing an Azure Data Solution Practice Test
Menu