Exam DP-200: Implementing an Azure Data Solution

Implementing an Azure Data Solution (DP-200) exam is a new Azure Data exam. The DP-200 and DP-201 exams are necessary for obtaining the credential as Microsoft Certified Azure Data Engineer Associate. Candidates for this exam must be capable to achieve data solutions that practice the Azure services such as Azure SQL Database, Azure Cosmos DB, Azure Stream Analytics, Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and Azure Blob storage, etc. The candidate has to take both the exam i.e. Implementing an Azure Data Solution and Designing an Azure Data Solution exams to become the Microsoft Certified: Azure Data Engineer Associate.

Microsoft DP-200 exam is getting retired on June 30, 2021. A new replacement exam Data Engineering on Microsoft Azure Beta (DP-203) is available.

Who should take this exam?

Candidates for Implementing an Azure Data Solution (DP-200) exam are for those who want to become Microsoft Azure data engineers who collude with business stakeholders to understand and match the data obligations to complete data solutions that practise Azure data services.

Requirements for the DP-200 Exam

Necessities for DP-200 certification serve as important factors in the DP-200 exam while preparing:

The candidates seeking for DP-200 exam should hold at least 1 year of background experience as business intelligence professionals, data professionals, or data architects.
Candidates should also present capacities and skills for presenting content from data platform technologies on Azure.

Learning Objectives

Microsoft provides a learning path for Implementing an Azure Data Solution (DP-200) which is specifically designed for the candidates who are seeking to build a career in Azure Data Solution. The candidate can find the course outline for exam on the official page of Microsoft. The skils outline provides detailed objectives.

Implement data storage solutions (40-45%)
Manage and develop data processing (25-30%)
Monitor and optimize data solutions (30-35%)

Learning Path

The Implementing an Azure Data Solution (DP-200) exam tests the candidate’s knowledge of three major subject subjects which is implementing data storage solutions, managing and developing data processing, and monitoring and optimizing data solutions. So, this exam is all about implementation and configuration, so you need to know, understand and learn how to configure data services in the Azure portal. It includes tasks that you have to perform in a live lab. Here is the learning path for exam.

Exam Format

Discussing the format of Implementing an Azure Data Solution (DP-200) exam is the most important step. The exam includes 40-60 number of questions. The questions will appear in the form of multiple-choice. The candidate will get 180 minutes to complete the exam, in total, they get 210 minutes. The exam is available in various languages such as English, Japanese, Chinese (Simplified), Korean. The candidate has to pay $165 USD as the examination fee.

Want to prepare for the DP-200 exam interview? Check out DP-200 Interview Questions

Scheduling the Exam

In order to appear in Implementing an Azure Data Solution (DP-200) exam, the candidate has to schedule the exam and make themselves register with Microsoft. The candidate can schedule their exam with the Pearson VUE.

Detailed Course Outline

Domain 1: Implement Data Storage Solutions (40-45%)

1.1 Implement non-relational data stores

Implement a solution that uses Cosmos DB, Data Lake Storage Gen2, or Blob storage (Microsoft Documentation: Creating Azure Cosmos DB Account, Implementing Solution using Blob Storage, Implementing a solution using Data Lake Storage Gen2)
Implement data distribution and partitions (Microsoft Documentation: Overview of Data Distribution with Azure Cosmos DB, Partitioning and horizontal scaling in Azure Cosmos DB)
Implement a consistency model in Cosmos DB (Microsoft Documentation: Choosing the right Consistency Level in Azure Cosmos DB)
Provision a non-relational datastore (Microsoft Documentation: Creating an Azure Cosmos account, database, container and Azure Portal Items)
Provide access to data to meet security requirements (Microsoft Documentation: Securing access to data in Azure Cosmos DB)
Implement for high availability, disaster recovery, and global distribution (Microsoft Documentation: Azure Cosmos DB global distribution, Data restoring in Azure Cosmos DB)

1.2 Implement relational data stores

Provide access to data to meet security requirements (Microsoft Documentation: Securing a database in Azure SQL Database)
Implement for high availability, disaster recovery, and global distribution (Microsoft Documentation: Geo-distributed database (Azure SQL Database)
Implement data distribution and partitions for Azure Synapse Analytics (Microsoft Documentation: Partition of tables in Synapse SQL pool, Designing distributed tables in Synapse SQL pool)
Implement PolyBase (Microsoft Documentation: Loading data to Azure Synapse Analytics SQL pool)

1.3 Manage data security

Implement data masking (Microsoft Documentation: SQL Database dynamic data masking)
Encrypt data at rest and in motion (Microsoft Documentation: Transparent Data Encryption in Azure Synapse Analytics)

Domain 2: Manage and Develop Data Processing (25-30%)

2.1 Develop batch processing solutions

Develop batch processing solutions by using Data Factory and Azure Databricks
Ingest data by using PolyBase
Implement the integration runtime for Data Factory (Microsoft Documentation: Creating and configuring Azure Integration Runtime)
Create linked services and datasets (Microsoft Documentation: Creating datasets, Creating Linked Service)
Create pipelines and activities (Microsoft Documentation: Creating Pipelines, Pipelines, and Activities in Azure Data Factory)
Create and schedule triggers
Implement Azure Databricks clusters, notebooks, jobs, and autoscaling (Microsoft Documentation: Cluster Size and Autoscaling)
Ingest data into Azure Databricks (Microsoft Documentation: Extracting, transforming, and loading data using Azure Databricks)

2.2 Develop streaming solutions

Configure input and output (Microsoft Documentation: Stream data as input into Stream Analytics, Azure Stream Analytics output to Azure Cosmos DB)
Select the appropriate windowing functions (Microsoft Documentation: Stream Analytics windowing functions)
Implement event processing by using Stream Analytics

Domain 3: Monitor and Optimize Data Solutions (30-35%)

3.1 Monitor data storage

Monitor relational and non-relational data sources
Implement Blob storage monitoring (Microsoft Documentation: Monitoring a storage account)
Implement Data Lake Storage monitoring (Microsoft Documentation: Accessing diagnostic logs for Azure Data Lake Storage Gen1)
Implement Azure Synapse Analytics monitoring (Microsoft Documentation: Monitoring workload)
Implement Cosmos DB monitoring (Microsoft Documentation: Monitoring Azure Cosmos DB)
Configure Azure Monitor alerts (Microsoft Documentation: Creating, viewing, and managing metric alerts using Azure Monitor)
Implement auditing by using Azure Log Analytics (Microsoft Documentation: Auditing for Azure SQL Database and Azure Synapse Analytics)

3.2 Monitor data processing

Monitor Data Factory pipelines (Microsoft Documentation: Monitoring and Alerting Data Factory with Azure Monitor)
Monitor Azure Databricks
Monitor Stream Analytics (Microsoft Documentation: Monitor and manage Stream Analytics using Azure PowerShell cmdlets)
Configure Azure Monitor alerts (Microsoft Documentation: Creating alerts for Azure SQL Database and Azure Synapse Analytics)
Implement auditing by using Azure Log Analytics (Microsoft Documentation: Auditing for Azure SQL Database and Azure Synapse Analytics)

3.3 Optimize Azure data solutions

Troubleshoot data partitioning bottlenecks (Microsoft Documentation: Strategies for Data partitioning)
Optimize Data Lake Storage (Microsoft Documentation: Optimizing Azure Data Lake Storage Gen2)
Optimize Stream Analytics (Microsoft Documentation: Leveraging query parallelization in Azure Stream Analytics)
Optimize Azure Synapse Analytics (Microsoft Documentation: Best practices for Synapse SQL pool in Azure Synapse Analytics)
Manage the data lifecycle (Microsoft Documentation: Manage the Azure Blob storage lifecycle)

Exam Policies

While preparing for Implementing an Azure Data Solution (DP-200) exam, the candidate should visit the Microsoft official site and refer to the Microsoft exam policies and try to understand them. The Microsoft policies provide information regarding basic information such as policies about retaking the exam, scheduling the exam, candidate appeal process, etc.

FOR MORE QUERIES, VISIT: Implementing an Azure Data Solution (DP-200) FAQs

Implementing an Azure Data Solution Preparation Resources

Here is a step-by-step preparation guide for successfully passing the Implementing an Azure Data Solution (DP-200) exam.

STEP 1: Microsoft Learning Platform

Microsoft itself offers various learning paths, the candidate should visit the official website of Microsoft. For Implementing an Azure Data Solution (DP-200) exam, the candidate will find many learning paths and documentations. Finding the relatable content on the Microsoft website is quite an easy task.

STEP 2: Microsoft Documentation

Documentations are an important learning resource while preparing for Implementing an Azure Data Solution (DP-200). The candidate will find documentation on every topic relating to the particular exam. This step is very valuable in preparing for Implementing an Azure Data Solution exam.

STEP 3: Instructor-Led Training

The training programs that the Micorosft provide itself is available on their website. The instructor-led training is an essential resource in order to prepare for the exam like Implementing an Azure Data Solution (DP-200). The candidate can find the instructor-led training on the page of the particular exam on the Microsoft website. There are various training courses available prior to one exam.

STEP 4: Join a Study Group

For passing the exam like Implementing an Azure Data Solution (DP-200), the candidate needs to get and share knowledge. So, we are suggesting you join some study where you can discuss the concepts with the people who have the same goal. This will lead the candidate throughout their preparation.

STEP 5: Practice Test

The most important step is to try your hands on the practice test. Practice tests are the one which ensures the candidate about their preparation. There are many practice tests are available on the internet nowadays, the candidate can choose whichever they want. The practice test is very beneficial in preparing the exam like DP-200.

Implementing an Azure Data Solution (DP-200) FREE PRACTICE TEST

Microsoft Implementing an Azure Data Solution (DP-200) Online Tutorial

Testprep Training provides Online Tutorials to assist you during the preparation for Exam DP-200: Microsoft Implementing an Azure Data Solution. These online tutorials are built to help you acquire the required knowledge of the domain areas and structure the learning path to support your preparation. The online tutorial covers the learning objectives including –

Implement data storage solutions
Manage and develop data processing
Monitor and optimize data solutions

However, for the DP-200 exam, the candidates should be able to implement data solutions using Azure services such as Azure Cosmos DB, Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Data Factory, Azure Stream Analytics, etc. So, let’s get into the details for achieving the required skills and knowledge.