Microsoft / Data and analytics
Engineer data with Azure Databricks
Build SQL, Python and distributed processing experience. Fabric certification is not a required earlier step here.
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
Core learning · DP-750
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.Integrate and model data in Databricks
- 2.Build, deploy and optimize pipelines
- 3.Govern with Unity Catalog and troubleshoot workloads
Hands-on consolidation
Put it into practice
Outline a raw-to-curated pipeline with data-quality checks, permissions and a recovery strategy. Use synthetic data for any implementation.
Ready to move on when…
You can explain lineage, access control and how you would investigate a failed or slow job.
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-750 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-750 — Data Engineering with Azure Databricks
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.