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Exam PL-300: Microsoft Power BI Data Analyst

The Power BI data analyst delivers actionable insights by leveraging available data and applying domain expertise. The Power BI data analyst collaborates with key stakeholders across verticals to identify business requirements, cleans and transforms the data, and then designs and builds data models by using Power BI. The Power BI data analyst provides meaningful business value through easy-to-comprehend data visualizations, enables others to perform self-service analytics, and deploys and configures solutions for consumption. Candidates for this exam should be proficient using Power Query and writing expressions by using DAX.

Passing score: 700. Learn more about exam scores.

Part of the requirements for: Microsoft Certified: Power BI Data Analyst Associate

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Microsoft Power BI Data Analyst Certification Exam Reference

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

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Microsoft PL-300 Deutsch Exam Syllabus Topics:

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

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