Use a completed test
A timed exam-ready test is preferred when one is available.
Microsoft Certified: Fabric Analytics Engineer Associate · Microsoft
Choose your next best preparation step
Use your completed test evidence, Personalized Study Plan, and remaining study schedule to choose your next practical step.
✓READYNext step✓Testevidence▤Studyplan→Nextaction
How readiness guidance works
How readiness guidance is formed
Your completed test evidence and study-plan progress are combined to recommend one practical next step.
Check the current plan
Compare the remaining schedule with the tasks still planned in your study plan.
Choose the next action
Practice, reinforce gaps, or continue the plan with fresh evidence.
What readiness means for Implementing Analytics Solutions Using Microsoft Fabric
DP-600 readiness means producing consistent, explainable evidence across maintenance, data preparation, and semantic modeling under changed scenario constraints.
- You can map security, governance, and lifecycle requirements to the correct Fabric control and validate the outcome.
- You can select, prepare, transform, and query analytical data while preserving intended grain and quality.
- You can design and optimize semantic models, DAX, Direct Lake behavior, and refresh operations with diagnostic evidence.
- You can reject plausible alternatives by citing the requirement they fail.
- Readiness guidance does not estimate your probability of passing.
Guidance only — not a pass prediction.
DP-600 readiness by exam domain
Each entry describes observable evidence for one official domain; exact 27/46/27 values are internal guidance weights chosen within Microsoft's published ranges.
| Exam dimension | Weight | Evidence focus |
|---|---|---|
| Maintain a data analytics solution | 27% | Internal guidance dimension for security, governance, and analytics lifecycle evidence; aligned to Microsoft's official 25–30% domain range. |
| Prepare data | 46% | Internal guidance dimension for data access, transformation, quality, and querying; aligned to Microsoft's official 45–50% domain range. |
| Implement and manage semantic models | 27% | Internal guidance dimension for semantic design, DAX, Direct Lake, and optimization; aligned to Microsoft's official 25–30% domain range. |
What to review before your next practice test
Use these fixed study suggestions from the published Readiness package before you test again.
1Priority 1 — Security and governance
- Choose workspace roles and item permissions for least-privilege access
- Implement row-level, column-level, object-level, and file-level controls
- Apply sensitivity labels and endorsement to support governed discovery
2Priority 2 — Query and analyze data
- Use the Visual Query Editor for supported shaping and exploration
- Write SQL queries for relational analytical data
- Write KQL queries for event and time-oriented data
Maintain: Optimize enterprise-scale semantic models
- Build a smart review queue from weak and low-confidence responses.
- Prioritize recurring causes and the 45–50% data-preparation domain.
- Require independent evidence before promoting a topic.