Microsoft

Fabric Analytics Engineer (DP-600)

Exam DP-600: Implementing Analytics Solutions Using Microsoft Fabric

Associate-level certification for analytics engineers building solutions on Microsoft Fabric: lakehouses, warehouses, and semantic models, with querying via SQL, KQL, and DAX. Increasingly requested as organizations adopt Microsoft Fabric for unified analytics.

$165100 minutes

What's on the exam

DP-600 skills measured as of April 20, 2026

Maintain a data analytics solution

25–30%

Workspace- and item-level access controls · Row-, column-, object-, and file-level security · Sensitivity labels and endorsement · Version control and Power BI Desktop projects (.pbip) · Deployment pipelines and impact analysis · Deploy semantic models via the XMLA endpoint

Prepare data

45–50%

Create data connections and ingest data · Discover data via OneLake catalog and Real-Time hub · Choose between data stores · Transform data: views, functions, stored procedures · Implement star schemas and denormalize data · Query and analyze with Visual Query Editor, SQL, KQL, and DAX

Implement and manage semantic models

25–30%

Choose a storage mode and implement star schemas · Relationships, bridge tables, many-to-many · DAX variables, iterators, calculation groups, field parameters · Composite and large semantic models · Optimize query and DAX performance · Configure Direct Lake and incremental refresh

Frequently asked questions

How much does the Fabric Analytics Engineer (DP-600) cost?

The Fabric Analytics Engineer (DP-600) costs $165. USD price; varies by country/region.

How long is the Fabric Analytics Engineer (DP-600) and how many questions does it have?

40–60 questions — 100 minutes.

What do you need to pass the Fabric Analytics Engineer (DP-600)?

Scaled score of 700 on a 100–1000 scale.

Can you retake the Fabric Analytics Engineer (DP-600)?

24 hours after first attempt; longer waits for subsequent retakes.

What is the best way to study for the Fabric Analytics Engineer (DP-600)?

Study the official blueprint, not random material: the exam is weighted by domain (Maintain a data analytics solution 25–30%, Prepare data 45–50%, Implement and manage semantic models 25–30%). Spaced-repetition flashcards built domain-by-domain against that blueprint are the most time-efficient way to cover everything the exam tests.

Program in development

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