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Microsoft PL-300 Exam Syllabus Topics:

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

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