JITA Learning · Microsoft · Field Guide
DP-600 · Implementing Analytics Solutions Using Microsoft Fabric
Build working judgment for Microsoft Fabric analytics solution design.
What you should expect
Build working judgment for Microsoft Fabric analytics solution design.
This Field Guide develops a working mental model of Microsoft Fabric analytics solution design. You will connect choose Fabric lakehouse, warehouse, semantic model, and Power BI architecture based on the workload, transform and shape data using appropriate Fabric, SQL, Power Query, and modeling techniques, design semantic models, relationships, DAX, aggregation, and performance behavior, and apply workspace, item, row-level, object-level, and sensitivity controls. You are not just memorizing feature names; you are learning what owns the requirement, what can fail, and how to verify the outcome.
What you will learn
- choose Fabric lakehouse, warehouse, semantic model, and Power BI architecture based on the workload
- transform and shape data using appropriate Fabric, SQL, Power Query, and modeling techniques
- design semantic models, relationships, DAX, aggregation, and performance behavior
- apply workspace, item, row-level, object-level, and sensitivity controls
- recognize why one technically plausible alternative loses under the stated requirement
- apply Changed Fact reasoning and verify the design or implementation through operational evidence
Decision skills you will practice
- identify the governing requirement
- compare the nearest plausible alternative
- apply Changed Fact reasoning
- trace prerequisites, dependencies, and failure paths
- verify configured state, effective state, runtime outcome, and negative-path evidence
Who this is for
analytics engineers and BI professionals building governed Fabric analytics solutions and semantic models
Use this when you need to learn the architecture, mechanics, dependencies, tradeoffs, failure paths, and verification logic behind the certification.
Decisions you will learn to distinguish
- lakehouse vs warehouse vs semantic-model responsibility
- Direct Lake behavior vs import or DirectQuery considerations
- modeling issue vs report-layer or data-preparation issue
Why JITA is different
Microsoft explains the platform. JITA teaches the decision.
Microsoft Learn explains the services, features, and documented behavior that support Microsoft Fabric analytics solution design. JITA connects those capabilities into decisions: what owns the requirement, what the nearest alternative is, what changes when one fact changes, and what evidence proves the implementation worked.
How to choose:
Use the Field Guide to build understanding. Use the Exam Preparation Guide to test whether that understanding survives exam-style decisions.