Cloud computing is a hot market for data engineers. They are responsible for ensuring data flows while maintaining security and availability. As the technology has moved to the cloud, it is important to distinguish these data skills and normal SQL certifications. The DP-200 is a new certification that requires candidates to understand data storage services provisioning, ingest streaming, and batching data procedures.
We will discuss some of the areas covered by this exam and why you should consider taking it and earning the certification. We will also discuss important details such as the cost of the exam, how many questions are available, and other information that can help you evaluate this cert. We will help you decide if the DP-200 is worthwhile.
What is the DP-200?
We now have a basic understanding of the DP-200 exam. Let’s review the details. The DP-200 exam counts towards the Microsoft Certified Azure Data Engineer Associate certification. The full title of this exam is DP-200 – Implementing an Azure Data Solution. It is a companion exam to the DP-201 Designing an Azure Data Solution, which we have previously looked at.
If you are looking for a job or are in a position where you are responsible, the Azure Data Engineer Associate certification will be a great fit.
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Start trainingProvisioning data storage
Data streaming, batching and ingestion
Implementing security and data retention policies
Identifying performance bottlenecks
Accessing data sources from outside
This exam covers a lot of topics. We will discuss the details and the next section.
What is the DP-200 Exam?
This certification’s exam objectives cover many different areas, all of which are related to design. You can find the complete document with all exam objectives here.
Implement data storage solutions: 40-45%
Data Processing: Manage and Develop: 25-30%
Monitor and optimize data solutions 30-35%
Implement data storage solutions: This objective covers many areas. You will need to be able to implement non-relational storage systems such as Blob storage, Data Lake Storage Gen2 and Cosmos DB. You will also need to know how to implement data distribution and partitions, the consistency modeling in Cosmos DB and non-relational store provisioning. This section also covers High Availability, Disaster Recovery, and Global Distribution.
This section also covers relational data stores. This section covers data distribution for Azure Synapse analytics and how to implement PolyBase. Finally, you need to understand data security management. This includes data encryption in motion and at rest.
Learn how to manage and develop data processing. These sections cover topics like using Data Factory and Azure Databricks for batch processing solutions, data ingestion using PolyBase, and the integration runtime of Data Factory.
You will need to know how to create linked services and data, pipeline and activities and Azure Data bricks clusters. Notebooks, jobs, and schedule triggers are all part of the process. Here you can also test data ingestion into Azure Databricks. This section also includes testing streaming solutions. It covers aspects such as input and output configurations, built-in functions selection, and event processing using Stream Analytics.
Monitor and optimize data solutions. The final set will test your knowledge about Data Factory pipeline monitoring, as well as monitoring for Azure Databricks or Stream analysis. You will need to understand Azure Monitor alerts as well as how auditing is performed using Azure Log Analytic.