Microsoft Power BI Data Analyst
Data preparation, modeling, visualization/analysis, and management/security in Power BI.
- 40 questions
Focused on preparing data, modeling with DAX, building reports, and maintaining Power BI assets in the service.
- 40 questions
Covering data preparation, semantic model design with DAX, report creation and analysis, and deployment/maintenance in the Power BI service.
- 40 questions
Data preparation in Power Query, semantic model design with DAX, building and analyzing reports, and deploying/maintaining content in the Power BI service.
- 59 questions
Reporting and analysis features, AI-assisted visuals, interactivity, accessibility, and Power BI service deployment, sharing, governance, security, and refresh.
- 58 questions
Connect and prepare data in Power Query, design and optimize the semantic model with DAX, build and analyze reports, and deploy and maintain content in the Power BI service.
- 60 questions
- 100 min
Prepare data with Power Query, model data with DAX and performance optimization, build and enhance reports, and manage and secure content in the Power BI service.
- 60 questions
- 100 min
Prepare data with Power Query, design and build a semantic model with DAX, create reports for analysis, and deploy/manage content in the Power BI service.
- 60 questions
- 100 min
About the Microsoft Power BI Data Analyst
The Microsoft Power BI Data Analyst certification validates your ability to prepare, model, visualize, and analyze data using Power BI to deliver meaningful business insights. It is intended for professionals with hands-on experience in Power BI who need to translate real-world requirements into accurate, performant reports and dashboards. The exam focuses on choosing the right data transformation and modeling approaches, writing effective DAX calculations, and applying best practices for security, performance, and deployment across the Power BI ecosystem.
Why use practice tests for this exam?
- Get comfortable with PL-300-style scenario questions across data prep, modeling, visualization, and deployment
- Practice choosing the right DAX, Power Query, and model settings under time pressure
- Spot common traps (filter context, relationships, row vs. filter context, visual interactions)
- Measure readiness and focus revision on the domains where you lose points
Practice test format
- Exam-style questions based on realistic Power BI analyst scenarios
- Timed sessions to train pacing for mixed conceptual and hands-on questions
- Scoring and progress tracking to monitor improvement over time
- Retake-friendly: repeat tests to reinforce weak areas and validate gains
Skills covered
- Prepare data with Power Query (cleaning, shaping, combining, parameters)
- Model data in Power BI (relationships, star schema concepts, hierarchies, model optimization)
- Create calculations with DAX (measures, calculated columns, time intelligence basics)
- Build reports and visuals (appropriate visuals, formatting, interactions, bookmarks, tooltips)
- Analyze and optimize performance (query reduction, model size, aggregation concepts)
- Manage workspaces and content (datasets, reports, apps, deployment concepts)
- Implement security and governance (RLS basics, sensitivity labels, sharing and permissions)