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Microsoft PL-300 Deutsch

PL-300-Deutsch

Exam Code: PL-300-Deutsch

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

Updated: Sep 08, 2026

Q & A: 472 Questions and Answers

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PL-300 Deutsch exam dumps

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The Microsoft Power BI Data Analyst certification is a globally recognized certification that validates your ability to design, build, and optimize data models using Power BI. It also demonstrates your expertise in building queries and reports with appropriate visuals, including dashboards, scorecards, and visualizations. This certification focuses on the intermediate-level skills required for data modeling and analysis.

The Microsoft Power BI Data Analyst certification provides many benefits to you. It helps you boost your career growth by validating your knowledge in building business intelligence solutions using Power BI platform. It validates your skills in designing reports and visualizations for various business needs. It increases your credibility among employers as most companies look for professionals who have this certification. It provides an opportunity to earn a higher salary package compared to those without this certification. ITCertTest Microsoft PL-300 Dumps will help you to pass your certification exam and get highly paid job.

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

Understanding Microsoft Power BI Data Analyst Certification Exam Topics

Microsoft Power BI Data Analyst Certification Exam Topics are below:

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

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Microsoft PL-300 Deutsch Exam Syllabus Topics:

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

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