Microsoft / Associate / DP-700
Fabric Data Engineer
Build governed lakehouse and streaming pipelines, then diagnose correctness, performance and capacity.
Microsoft’s public guide already describes the October 19, 2026 update, ten days after this review. This path explicitly targets that upcoming outline. For an earlier sitting, compare the outline attached to your booking; localized updates can differ.
THE REVISION PATH
Your topics, in order.
Read. Recall. Explain the alternative.
Fabric Workspaces, OneLake and Delivery Lifecycle
Capacity runs the work; workspace organizes it; OneLake stores it.
Fabric Security, Governance and Shared Data
Workspace access is broad; data rules need their own design.
Pipelines, Dataflows and Incremental Loads
Orchestrate dependencies; move data; make retries safe.
Delta, PySpark, SQL and Dimensional Transformation
Preserve the grain before optimizing the engine.
Eventstreams, KQL and Streaming Windows
Time boundaries and late events decide the answer.
Monitoring, Error Diagnosis and Performance
Locate the failing layer, then optimize the measured bottleneck.
How this guide is organised
Original revision notes arranged around practical decisions. The linked official objectives define the mapped scope; primary documentation supports the explanations. Read each topic, answer without looking, then explain why another option would fail.
- Official exam guide ↗ Scope authority
Revision material supports preparation; it does not guarantee every possible exam question. Check the exam version and official objectives before booking.