It focuses on practical skills for building data pipelines, managing Delta tables, and using Spark SQL and PySpark. It also evaluates your ability to orchestrate workflows and work with Databricks in real production scenarios.

Earning the Databricks Data Engineer Associate certification was a valuable milestone for our Data Engineer, Milka Kutseva. It strengthened her understanding of how Databricks operates in real production environments and improved her confidence when working with data pipelines and Spark.

In this article, Milka breaks down what the exam covers, what changed in the July 2025 update, how she prepared, and the practical tips that proved most useful, along with links to them.
The Databricks Data Engineer Associate exam evaluates your ability to work with the Databricks platform in real-world scenarios. It focuses on practical skills such as:
The certification is beginner‑friendly but hands‑on. Instead of testing abstract theory, it emphasizes applied knowledge and everyday operational tasks.
Basic exam details:
For the most accurate and up-to-date requirements, always refer to the official Databricks website.
In July 2025, Databricks updated the exam content. The new version reflects current platform usage and removes several outdated concepts.
Key changes include:
Because of these changes, older learning materials and practice tests may no longer align with the new exam format. Using updated resources is essential.
Here is the approach that worked best for me.
I began with Udemy courses that cover Databricks fundamentals and core data engineering concepts.
Courses I recommend:
What made this step effective:
This gave me a solid base before moving into intensive practice.
After completing the theory, I focused heavily on practice sets.
Resources I used:
I also searched YouTube and filtered results by upload date, since many new practice questions and explanations that match the latest exam format have been shared.
My approach was simple and consistent:
This stage was critical because it showed what the exam really tests and which areas require deeper understanding. [needed to strengthen.]
Since I was working on a project at the same time, the preparation took more effort and time. In total, it took me about 4–6 weeks with around 1–2 hours of study per day. If someone can fully focus on the certification (for example, while on the bench), the preparation time can be much shorter.
Here are a few things that helped me perform better on exam day:
The Databricks Data Engineer Associate certification is a solid entry point if you want to strengthen your data engineering skills and work more confidently with Databricks.
With the July 2025 update, the exam became more practical and closer to real work scenarios. If you follow a structured study plan, use current resources, and practice consistently, you'll be well prepared.
Stay focused, keep practicing, and approach the exam with confidence. With steady learning and practice, the exam is absolutely achievable. Good luck… and don't stress!
From AI and business analysis to programming tutorials and soft skills, we have it all!