Microsoft / Data and analytics
Engineer analytics with Fabric
Power BI modeling experience is useful for this analytics route. PL-300 is recommended preparation, not a required credential.
Optional foundation
Check your starting knowledge
Use DP-900 to review the basics. You do not need to take this foundation exam to follow our route. If you already know the material, move on.
DP-900 — Azure Data Fundamentals
Recommended skills · optional exam
Build relevant experience
These topics help with your target role. The exam below is a way to check your understanding, not a mandatory certification prerequisite.
PL-300 — Power BI Data Analyst
Core learning · DP-600
Learn the role, one area at a time
Work through the official guide and its learning resources. Use these three study blocks to organize your notes; the official skills outline remains your complete coverage checklist.
- 1.Prepare enterprise analytical data
- 2.Build and optimize semantic models
- 3.Secure and maintain analytics assets
Hands-on consolidation
Put it into practice
Design a small Fabric analytics solution from source data to a semantic model. Explain refresh, access, model performance and deployment ownership.
Ready to move on when…
You can validate model results and reason about enterprise-scale performance and permissions.
Use a dedicated lab and synthetic data, never an employer's production environment. Check licensing and costs before provisioning; budget alerts do not stop spending. Remove resources when finished.
Review & exam planning
Find gaps with our DP-600 test
Try the test, explain each missed answer and return to the corresponding learning topic. Repeat the practical task where needed. A practice score is feedback, not proof of certification readiness.
DP-600 — Fabric Analytics Engineer
Before booking, check the official page for current exam availability, any retirement or beta notice, and the credential's full requirements. This guide does not track completion or award a certificate.