Microsoft PL-300 Deutsch : Microsoft Power BI Data Analyst (PL-300 Deutsch Version)

PL-300 Deutsch pass collection

Exam Code: PL-300-Deutsch

Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)

Updated: Jul 21, 2026

Q & A: 515 Questions and Answers

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What is the salary of the Microsoft Power BI Data Analyst Certified professional

The Average salary of different countries of Microsoft Power BI Data Analyst certified professionals:

  • India; INR 500,000

  • Canada; CAD 70,000

  • United Kingdom; POUNDS 60,000

  • United States; USD 90,000

  • Australia; AUD 75,000

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

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Microsoft PL-300 Deutsch Exam Syllabus Topics:

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

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