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Microsoft Microsoft Certified: Power BI Data Analyst Associate PL-300-Deutsch

PL-300-Deutsch

Exam Code: PL-300-Deutsch

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

Updated: Sep 09, 2026

Q & A: 472 Questions and Answers

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The Microsoft Power BI Data Analyst Certification Exam is a certification exam that will help you to demonstrate your expertise in using the Microsoft Power BI platform. This exam tests the candidate's ability to analyze data with Power BI and create reports that are accurate, insightful and easy to read. Once you pass this exam, you will receive a certificate that shows your competence in performing these tasks. The certificate is valid for three years, so if you want to keep your skills up-to-date then you should take additional training during this time period.

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

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Microsoft PL-300 Deutsch Exam Syllabus Topics:

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

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