Microsoft PL-300 Deutsch valid dump torrent : Microsoft Power BI Data Analyst (PL-300 Deutsch Version)

  • Exam Code: PL-300-Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Jul 26, 2026
  • Q&As: 515 Questions and Answers

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Microsoft PL-300 exam evaluates a candidate's ability to work with data sources, design data models, create reports and visualizations, and collaborate effectively with stakeholders. PL-300-Deutsch exam covers a wide range of topics, including data modeling, data transformation, visualization, dashboard design, and data security. This comprehensive coverage ensures that candidates who pass the exam are fully equipped to handle real-world data analysis tasks.

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

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Microsoft PL-300 certification exam is a valuable opportunity for professionals looking to demonstrate their expertise in Power BI. It can also provide a competitive advantage in the job market and help organizations improve their data analytics capabilities.

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Earning the Microsoft Power BI Data Analyst certification can be a valuable asset for professionals looking to advance their career in the field of data analytics. As organizations increasingly rely on data to make informed business decisions, the ability to design and implement effective data solutions can be a highly sought-after skill. Passing the Microsoft PL-300 exam is a significant step towards becoming a recognized expert in the field of Power BI.

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Microsoft PL-300 Deutsch Exam Syllabus Topics:

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

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