Azure Data Engineer Certification Guide
With data engineering becoming one of the most sought-after skills in the job market and Microsoft’s success in positioning Azure as the leading cloud provider for enterprise customers, the demand for the Azure Data Engineer certification has seen a steady increase. An Azure data engineer, as described by Microsoft, has the following capabilities:
“Azure data engineers are responsible for data-related implementation tasks that include provisioning data storage services, ingesting streaming and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, and accessing external data sources.”
What comes as a surprise for many is that in order to obtain the certification you actually need to pass two separate exams:
- Exam DP-200: Implementing an Azure Data Solution
- Exam DP-201: Designing an Azure Data Solution
The difference between both, as their names suggest, is that the DP-200 is focused on testing your knowledge on how to implement the data solutions (some would call it the “more technical” exam), and the DP-201 focuses rather on the design/conceptual side of the solution. Overall, including study time, revising the Microsoft documentation, and acquiring some hands-on experience with the concepts covered in this certification, you should expect to invest between 35–45 hours of preparation for the Azure Data Engineer certification. Expect this estimate to be higher if you are completely new with cloud technologies or data engineering in general.
For the actual study materials you can find separate guides for the DP-200 and DP-201 exams in the links below:
Good luck in your path towards becoming a certified Azure Data Engineer! If you have any further questions, feel free to write a comment below.