Who it is for
Designed for analytics engineers who create and manage semantic models, warehouses, lakehouses, and other enterprise analytical assets in Microsoft Fabric.
DP-600
Implementing Analytics Solutions Using Microsoft Fabric
DP-600 validates the skills to prepare and analyze data, maintain Microsoft Fabric analytics solutions, and design, build, and optimize enterprise semantic models.
- Level
- Intermediate
- Format
- Single choice · Multiple choice
- Recommended experience
- Subject matter expertise in analytical assets such as semantic models, warehouses, and lakehouses, with SQL, KQL, and DAX skills.
- Duration
- 100 min
- Exam data updated
- Jul 21, 2026
Your exam at a glance
What it covers
Assesses solution maintenance and governance, data preparation and analysis with SQL, KQL, and DAX, and enterprise semantic model implementation.
What you gain
Passing demonstrates the ability to deliver and maintain Microsoft Fabric analytics assets that support governed, scalable business analysis.
Your learning path to exam readiness
Five clear stepsBeginner Path
Build the Fabric, Power BI, SQL, KQL, DAX, and semantic modeling foundations needed for DP-600.
BeginStudy Plan
Organize the three DP-600 domains by exam weight, study time, and hands-on Fabric practice.
PlanFree Practice Test
Measure your DP-600 knowledge across data preparation, solution maintenance, and semantic models.
PracticeSmart Review
Review weak DP-600 objectives and connect mistakes to the correct Fabric analytics workflow.
ReviewReadiness Check
Check DP-600 domain coverage, hands-on confidence, and exam pacing before scheduling your attempt.
AssessWhat to focus on
Exam blueprint
Maintain a data analytics solution (25–30%)
25%
Prepare data (45–50%)
50%
Implement and manage semantic models (25–30%)
25%
Keep learning
News for this subject
Oct 10, 2026
DP-600: Fabric Analytics Engineer Certification Guide, Skills, and Scope
Exam DP-600 validates whether a candidate can implement and manage enterprise-scale analytics solutions with Microsoft Fabric and Power BI semantic models.
Oct 10, 2026
DP-600: Choosing Microsoft Fabric Analytics Stores: Lakehouse, Warehouse, Eventhouse, and Semantic Models
Choose a lakehouse when varied files and tables need Spark-led engineering, a Warehouse when structured analytical data needs a SQL-first relational experience, and an Eventhouse when high-volume event streams need low-latency analysis…
Oct 10, 2026
DP-600: Securing and Governing Microsoft Fabric Analytics Solutions
Securing a Microsoft Fabric analytics solution requires several coordinated layers: use workspace roles for broad collaboration duties, item permissions for access to a specific asset, and OneLake security roles for the tables, folders,…