Databricks Data Engineer Associate: Exam Prep

This course contains the use of artificial intelligence.

This exam-focused preparation course walks you through all seven current domains of the Databricks Certified Data Engineer Associate exam (the version effective May 4, 2026): the Databricks Intelligence Platform, Data Ingestion and Loading, Data Transformation and Modeling, Working with Lakeflow Jobs, Implementing CI/CD, Troubleshooting, Monitoring, and Optimization, and Governance and Security. Databricks does not publish official per-section percentage weightings for this exam version, so the emphasis given to each domain in this course reflects the author's estimate. Always confirm the current domains, question count, duration, and fees on the official Databricks exam guide before you register.

Instructor Aseem Mankotia breaks every domain into direct, hands-on notebook and SQL walkthroughs: Delta Lake ACID internals, time travel, OPTIMIZE and VACUUM, the medallion architecture, Auto Loader with schema evolution, COPY INTO, MERGE-based incremental processing, Structured Streaming, Lakeflow Jobs orchestration, Databricks Asset Bundles for CI/CD, Spark UI-based troubleshooting, and Unity Catalog governance and access control. Every chapter pairs a concept with a runnable lab and exam-style scenario questions so you build the same instincts the real exam rewards.

The course closes with a full-length 90-minute, 45-question exam simulation plus a time-management strategy session covering pacing, flagging, and elimination technique. This is exam-focused preparation designed for working data engineers, analytics engineers, and Spark/SQL professionals moving onto the Lakehouse. It complements this catalog's Databricks ML Associate/Professional and Generative AI Engineer courses by covering the data-engineering foundation those workloads run on.

AI content disclosure: This course was produced with the assistance of artificial intelligence tools. Lecture narration is AI-voice generated, and lecture scripts, slides, and practice questions were drafted with AI assistance, then reviewed and curated by the instructor for technical accuracy and alignment with the official Databricks Data Engineer Associate exam guide.