Microsoft Power BI Data Analyst : PL-300

  • Exam Code: Microsoft
  • Exam Name: Microsoft Power BI Data Analyst
  • Updated: Aug 19, 2026
  • Q & A: 472 Questions and Answers

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About Microsoft Power BI Data Analyst : Microsoft Exam

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Microsoft Power BI Data Analyst Exam Certification Details:
Exam NameMicrosoft Certified - Power BI Data Analyst Associate
Exam CodePL-300
Schedule ExamPearson VUE
Exam Price$165 (USD)
Sample QuestionsMicrosoft Power BI Data Analyst Sample Questions
Duration180 mins
Passing Score700 / 1000
Books / TrainingCourse PL-300T00: Microsoft Power BI Data Analyst
Number of Questions40-60

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300

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Microsoft PL-300 Exam Syllabus Topics:
SectionWeightObjectives
Topic 1: Manage and Maintain Workspace Items10-15%- Create and manage workspaces
  • 1. Publish and update a Power BI app
  • 2. Configure workspace membership and roles
  • 3. Endorse sensitive content with sensitivity labels
  • 4. Configure content certification
- Manage datasets
  • 1. Configure dataset metadata and properties
  • 2. Manage dataset refresh scheduling
  • 3. Manage gateways and data sources
  • 4. Resolve dataset permission issues
Topic 2: Analyze the Data10-15%- Perform analysis in Power BI
  • 1. Use the Q&A visual
  • 2. Configure auto-insights
  • 3. Apply Quick Insights
  • 4. Identify patterns and trends
  • 5. Generate Pinn visual insights
- Work with metrics in Power BI
  • 1. Use the Decomposition Tree visual
  • 2. Track goals with scorecards
  • 3. Create metrics using Microsoft measurements
  • 4. Define and monitor KPIs
Topic 3: Visualize the Data25-30%- Build visuals
  • 1. Format and configure pages and report backgrounds
  • 2. Configure visual interactions and cross-filtering
  • 3. Determine the appropriate visual type
  • 4. Configure data colors and shapes
  • 5. Apply AI insights and enhanced analytics
  • 6. Apply sorting and filtering to visuals
- Enhance reports for user experience
  • 1. Add accessibility features and compliance
  • 2. Apply artistic formatting to visuals
  • 3. Add tooltips and navigation
  • 4. Design for mobile and specific layouts
- Enrich reports with advanced visuals
  • 1. Use dynamic page navigation
  • 2. Integrate Microsoft Copilot for Power BI
  • 3. Create custom visuals
  • 4. Configure R and Python visuals
Topic 4: Prepare the Data10-15%- Clean, transform, and load the data
  • 1. Apply user-friendly naming conventions to columns and tables
  • 2. Determine proper data types
  • 3. Identify the data structure
  • 4. Resolve data quality issues
  • 5. Profile the data
  • 6. Design and build intermediate tables
  • 7. Configure data loading and queries
- Get data from various data sources
  • 1. Configure dataset refresh
  • 2. Select a shared dataset or create a local copy
  • 3. Use Microsoft Fabric and OneLake
  • 4. Identify and connect to a data source
  • 5. Choose between DirectQuery, Import, and Dual storage modes
  • 6. Change data source settings
Topic 5: Model the Data25-30%- Create measures and DAX calculations
  • 1. Write and use basic DAX syntax
  • 2. Use Time Intelligence functions
  • 3. Create semi-additive measures
  • 4. Use CALCULATE and FILTER functions
  • 5. Implement context transition
  • 6. Create calculated measures
- Optimize model performance
  • 1. Optimize DirectQuery models
  • 2. Validate performance and resolve issues
  • 3. Optimize Dax queries
  • 4. Improve user experience by hiding objects
  • 5. Configure aggregations
- Design a data model
  • 1. Implement row-level security
  • 2. Resolve performance issues with relationships
  • 3. Define tables and table schemas
  • 4. Determine the appropriate granularity
  • 5. Apply field metadata and groupings
  • 6. Design a star schema or snowflake schema
- Develop the data model
  • 1. Create calculated tables and columns
  • 2. Create common date tables
  • 3. Use the calculation group feature
  • 4. Implement row-level security roles
  • 5. Configure table relationships
  • 6. Build hierarchies and hierarchical fields

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