Microsoft PL-300 Deutsch exam - in .pdf

PL-300 Deutsch pdf
  • Exam Code: PL-300 Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Aug 14, 2026
  • Q & A: 515 Questions and Answers
  • PDF Price: $69.99
  • PDF Demo

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  • Exam Code: PL-300 Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Aug 14, 2026
  • Q & A: 515 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $139.98  $89.99
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Microsoft PL-300 Deutsch exam - Testing Engine

PL-300 Deutsch Testing Engine
  • Exam Code: PL-300 Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Aug 14, 2026
  • Q & A: 515 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

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

Skills measured

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

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Understanding Microsoft Power BI Data Analyst Certification Exam Topics

Microsoft Power BI Data Analyst Certification Exam Topics are below:

  • Model the data (30-35%)
  • Visualize and analyze the data (25-30%)
  • Prepare the data (15-20%)
  • Deploy and maintain assets (20-25%)

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

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