I recently passed the Azure Data Engineer exam. This quick blog reviews the exam and what material I used to pass it.  The exam is all about data services within Azure, and a quick summary can be seen below:

A candidate for the Azure Data Engineer Associate certification should have subject matter expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures suitable for building analytics solutions.

So is this exam worth studying? Absolutely. If you are interested in data engineering and data science. The data engineer exam is specifically around architecture, design patterns, and best practices for query performance, handling large data sets and ETL.

Most of the exam is about Azure Synapse Analytics, Databricks, Data lakes, Storage and Security and the occasional question about Event Hubs and Azure Stream Analytics.

I used a mixture of different sources that assisted me in passing the exam. I tend to do better when watching a video on a particular subject than reading a block of text (That's just me, personally). However, I did use the Microsoft Learn modules at times, as they provided some lab exercises, which are always beneficial.

I would check out the following links, which helped me pass this exam. Some of these are paid courses, but I also used the free material available.

To confirm I actually passed the exam - please follow the link below: George Ollis - Badges - Credly

Thanks for reading this short review of the exam. Please let me know if you have further questions about this exam.

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