Microsoft PL-300 Deutsch dumps - in .pdf

PL-300 Deutsch pdf
  • Exam Code: PL-300 Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Aug 13, 2026
  • Q & A: 515 Questions and Answers
  • PDF Price: $69.99
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  • Exam Code: PL-300 Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Aug 13, 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 dumps - 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 13, 2026
  • Q & A: 515 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

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

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Understanding Microsoft Power BI Data Analyst Certification Exam Topics

Microsoft Power BI Data Analyst Certification Exam Topics are below:

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

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Microsoft PL-300 Deutsch Exam Syllabus Topics:

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

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