Azure Databricks Data Engineer Associate

Seven weighted areas: Databricks Intelligence Platform (6%), Data Ingestion and Loading (21%), Data Transformation and Modeling (22%), Working with Lakeflow Jobs (16%), Implementing CI/CD (10%), Troubleshooting, Monitoring, and Optimization (10%), and Governance and Security (15%). Transformation and ingestion together are 43% of the exam, so weight your study time accordingly rather than spreading it evenly.

There are 45 scored questions and a 90-minute time limit, which works out to roughly two minutes per question. Exams may also contain unscored items used for statistical purposes, and extra time is built in to account for them, so do not be surprised if you see more items than 45.

Registration is $200. You can sit the exam online with proctoring or at a test center, and no test aids are allowed. Before an online appointment, review the technical requirements and run the system check, since an environment failure on exam day is far more disruptive than spending ten minutes on setup beforehand.

Data manipulation code is provided in SQL whenever possible; in all other cases, code is presented in Python. Practise reading and writing both, especially PySpark DataFrame operations, because you may need to interpret Python code even where a SQL solution would also exist.

There are no formal prerequisites, but related training is highly recommended, and the stated recommended experience is hands-on work performing the data engineering tasks outlined in the exam guide. If you have never built pipelines on the platform, get practical exposure first; reading alone rarely prepares you for scenario-based multiple choice items.

It is valid for two years. Recertification is required every two years to maintain certified status, and you recertify by taking the current version of the exam, not an older one. Follow the same preparation steps you used initially, since the exam content may have changed since your first attempt.

Start with the exam guide to map the domains, then complete the related training it lists and work through the AI Prep Guide. Take a practice pass, review the guide again to identify gaps, and study specifically to fill them. That final gap review is where most candidates gain the most, because it targets weaknesses instead of re-covering familiar ground.

Underweighting transformation and ingestion, which are 43% combined; neglecting governance and security at 15%; and memorising syntax without understanding pipeline orchestration in Lakeflow Jobs. Another frequent problem is skipping the system check before an online proctored appointment, which can cost the entire attempt regardless of preparation.

English, Japanese, Brazilian Portuguese, and Korean. If you are testing in a non-native language, budget extra time for reading longer scenario questions, since the 90-minute limit applies regardless of the language you choose.