Microsoft PL-300 Deutsch Valid Test : 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: Sep 11, 2026
  • Q&As: 472 Questions and Answers

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For most IT workers, having the aspiration of getting PL-300 Deutsch certification are very normal. As one exam of Microsoft, PL-300 Deutsch enjoys high popularity in IT workers. Getting PL-300 Deutsch certification means you have chance to enter big companies and meet with extraordinary people from all walks of life. Besides, you may have considerable salary and good promotion in the future. So Getting PL-300 Deutsch certification will become an important turning point in your life. But you know that good things never come easy. PL-300 Deutsch test questions are high quality and professional, which need plenty time to prepare. The matter is that you have no time to prepare the PL-300 Deutsch test dump and you will suffer great loss if you failed. Don't worry, GetValidTest will help you pass the PL-300 Deutsch valid test quickly and effectively.

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Microsoft Power BI Data Analyst certification exam is intended for professionals who have experience with Power BI and are interested in obtaining a deeper understanding of the tool's capabilities. Individuals who pass PL-300-Deutsch exam will have demonstrated their ability to design and implement data models, create visualizations and reports, and work with data to make informed business decisions.

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Microsoft PL-300 certification is an essential certification for data analysts who want to prove their expertise in Power BI, a powerful business analytics tool from Microsoft. Microsoft Power BI Data Analyst (PL-300 Deutsch Version) certification validates the skills of individuals in data analysis and visualization, data modeling, and data transformation. With the PL-300 certification, individuals can demonstrate their ability to use Power BI to help organizations make data-driven decisions and improve their business performance.

Microsoft PL-300 certification exam is an excellent way for data analysts to demonstrate their skills and knowledge in the field of business intelligence. With the growing importance of data-driven decision making in today's business landscape, the certification can help professionals stand out in a competitive job market and advance their careers.

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

Microsoft PL-300 Deutsch Exam Syllabus Topics:

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

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