2026 Exam Guide
Microsoft Power BI Data Analyst Associate Study Guide
Current exam coverage, candidate guidance, important topics, and practical preparation advice for the PL-300 exam.
What Is Microsoft Power BI Data Analyst Associate?
Microsoft Power BI Data Analyst Associate is earned through PL-300. It validates skills for preparing data, modeling semantic relationships, writing DAX, creating reports, analyzing data, deploying assets, and managing Power BI workspaces.
In 2026, Power BI candidates should understand Power Query, star schema modeling, measures, calculated columns, row-level security, report design, refresh, gateways, semantic models, governance, and performance optimization. Questions often ask for the best design or troubleshooting choice.
Who Should Take This Exam?
PL-300 is intended for data analysts, BI developers, reporting specialists, Excel power users, and business analysts who build and publish Power BI solutions.
Candidates should understand basic data transformation, relational concepts, visualization, and business requirements. DAX and data modeling practice are especially important.
Exam Domains
Prepare Data
CoreConnect, clean, transform, profile, and load data with Power Query.
Model Data
CoreRelationships, measures, DAX, star schema, security, and performance.
Visualize and Analyze Data
CoreReports, visuals, interactions, insights, accessibility, and storytelling.
Deploy and Maintain Assets
CoreWorkspaces, refresh, gateways, apps, lineage, and governance.
Common Topics Covered
- Power Query
- DAX
- Star schema
- Measures
- Calculated columns
- Relationships
- RLS
- Report design
- Refresh
- Workspaces
Study Tips
Study modeling deeply. Many PL-300 questions are easier when you understand fact tables, dimensions, relationships, filter context, and DAX measures.
Practice publishing and maintaining reports. Know refresh behavior, gateway needs, workspace roles, app distribution, row-level security, and performance analyzer basics.
Practice Questions Overview
Certoga's PL-300 questions cover practical Power BI data preparation, modeling, DAX, visualization, and deployment decisions.