339 practice questions for Databricks Certified Data Engineer Professional, with full explanations.
Every question comes with the correct answer, the reasoning behind it, and a short note on why each wrong option is wrong. Work through it once with the answers, then again with the questions-only copy under exam conditions.
- 339 questions mapped to the current Data Engineer Professional exam guide
- Answers and explanations for every question, including the wrong options
- A questions-only PDF for timed practice runs
- Instant delivery by email the moment you check out
- Free monthly updates for as long as the exam is live
- Pass or your money back
A Data Engineer Professional attempt costs US$200. This pack is US$39, paid once.
Try 10 questions free before you buy.
Last updated September 2026 · 339 questions
What makes the Data Engineer Professional exam hard
Data Engineer Professional is a different exam from the Associate: around 60 questions in 120 minutes, almost all of them code, and the code is usually correct Spark that does the wrong thing. It is the Databricks exam with the lowest pass rate, because it tests the internals people skip when a pipeline already works, such as how Delta handles concurrent writes, what Structured Streaming does with a watermark, why a MERGE rewrote every file, and which Unity Catalog object a permission actually sits on.
Data processing is the heart of the exam: Structured Streaming end to end, triggers, checkpoints, watermarks, stream-static and stream-stream joins, Auto Loader at scale, Change Data Feed, slowly changing dimensions with MERGE, partitioning, liquid clustering, Z-ordering and OPTIMIZE, deletion vectors and the Delta transaction log.
Databricks tooling, data modelling, security and governance with Unity Catalog, monitoring and logging, and testing and deployment round out the guide. Databricks publishes and revises the weightings in the current exam guide, and the code in the questions follows the current runtime, so it pays to check the guide before booking.
About the exam
The Databricks Certified Data Engineer Professional validates advanced data engineering on the Databricks Data Intelligence Platform: Databricks tooling, data processing with Spark and Delta Lake, data modelling, security and governance, monitoring and logging, and testing and deployment. There are no formal prerequisites; Databricks recommends the Data Engineer Associate and at least a year of hands-on experience.
Exam topics
- Databricks tooling: Lakeflow Jobs, Declarative Pipelines, API, CLI and Asset Bundles
- Data processing: Structured Streaming, Delta Lake internals, incremental and CDC patterns
- Data modelling and the medallion architecture at scale
- Security and governance with Unity Catalog
- Monitoring, logging and performance diagnosis
- Testing and deployment
Databricks publishes section weightings in the current exam guide. About 60 scored multiple choice questions, 120 minutes, passing score not published by Databricks (commonly cited as 70%), US$200 per attempt, online proctored or test centre, certification valid for two years.
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