222 practice questions for Microsoft Fabric Analytics Engineer (DP-600), 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.
- 222 questions mapped to the DP-600 exam objectives
- 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 DP-600 attempt costs US$165 in the US. This pack is US$39, paid once.
Try 10 questions free before you buy.
Last updated September 2026 · 222 questions
What makes the DP-600 hard
The DP-600 sits at the intersection of Power BI and Azure data engineering, and that is exactly what catches people out. Microsoft Fabric combines data engineering, warehousing, real-time analytics and BI into one platform, and the DP-600 certifies the people building on top of it: when to use a lakehouse versus a warehouse, how Direct Lake mode falls back to DirectQuery, how DAX behaves under filter context, and how to query event data with KQL. Candidates who know Power BI well consistently underestimate the data engineering side, and that is where most failures come from.
Microsoft restructured the blueprint on 21 July 2026 into three domains, and preparing data is now the dominant one at 45 to 50%, close to half the exam. A study plan still built on the old four-domain split is spending time in the wrong place.
The exam runs to 40 to 60 scenario-based questions in 100 minutes, with a pass mark of 700 out of 1000. Microsoft does not test definitions, it tests decisions: the architecture scenarios, pipeline questions and semantic model framing that make up the bulk of the paper.
About the exam
The DP-600 certifies Fabric Analytics Engineers who design, implement and manage analytics solutions using Microsoft Fabric. It bridges data engineering and BI, requiring hands-on SQL, DAX and data modelling skills. No formal prerequisites. Skills measured as of 21 July 2026. Renews annually via a free Microsoft Learn assessment.
Exam domains
- Maintain a data analytics solution: 25 to 30%
- Prepare data: 45 to 50%
- Implement and manage semantic models: 25 to 30%
40 to 60 questions, 100 minutes, passing score 700 out of 1000, US$165 in the US, priced by local currency elsewhere, online proctored and test centres, renews annually.
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