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Exam Code: PL-300
Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
Certification Provider: Microsoft
Corresponding Certification: Microsoft Certified: Power BI Data Analyst Associate

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PL-300 Deutsch

Updated: Jul 26, 2026

No. of Questions: 515 Questions & Answers with Testing Engine

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Microsoft PL-300 Deutsch Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Power BI Data Analyst
Exam Number:PL-300
Exam Format:Multiple choice, Case study, Drag and drop, Short answer
Related Certifications:Microsoft Certified: Power BI Data Analyst Associate
Exam Price:$165.00 USD
Certificate Validity Period:1 year
Exam Duration:120 minutes
Passing Score:700 (scaled score, passing not publicly disclosed)
Real Exam Qty:40-60
Available Languages:English, Japanese, Chinese (Simplified), Korean
Sample Questions:Microsoft PL-300 Deutsch Sample Questions
Exam Way:Online proctored exam (Pearson VUE) or in-person testing center
Pre Condition:No mandatory prerequisites, but Microsoft recommends having foundational knowledge of data concepts and Microsoft Power BI before taking the exam.
Official Syllabus URL:https://learn.microsoft.com/en-us/certifications/exams/pl-300/

Skills measured

  • Visualize and analyze the data (25-30%)
  • Model the data (30-35%)
  • Download the study guide in the preceding “Tip” box for more details about the skills measured on this exam.
  • Prepare the data (15-20%)
  • Deploy and maintain assets (20-25%)

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:

  • United States; USD 90,000

  • Canada; CAD 70,000

  • United Kingdom; POUNDS 60,000

  • India; INR 500,000

  • Australia; AUD 75,000

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

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Passing Score, Duration & Questions For Microsoft PL-300 Exam

  • The passing score: 700

  • Time Duration: 180 minutes

  • Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian

  • Number of Questions: 40-60 questions

Microsoft PL-300 Deutsch Exam Syllabus Topics:

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

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