Microsoft PL-300 Deutsch test insides dumps : Microsoft Power BI Data Analyst (PL-300 Deutsch Version)

Microsoft PL-300 Deutsch test insides dumps
  • Exam Code: PL-300-Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Aug 30, 2026
  • Q & A: 472 Questions and Answers
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Microsoft Power BI Data Analyst Certification Exam Reference

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Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian

Retirement date: none

This exam measures your ability to accomplish the following technical tasks: prepare the data; model the data; visualize and analyze the data; and deploy and maintain assets.

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The need for this exam has increased tremendously over the years. As more people start using technology, there is a greater need for more professionals who can help them with their problems. With the increasing demand for people with these skills, it will be difficult for you to get a job without having one. If you want to succeed in your career, you should consider taking this test because it will give you an edge over other candidates who do not have it. It will also help you stand out from the crowd if you are applying for jobs online or even if you are looking for promotion within your company. Column data types have questions and answers subcategories for real time scenario. Sample questions about data source settings have calculated columns mobile view. Quick measure mode filters the app syllabus to practice the average sales. If you are feeling sensitive to additives in your food, you may want to format your schema prepared environment to be more additive-sensitive. This could involve avoiding foods that contain additives, eating organic foods whenever possible, or using natural sweeteners.

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:

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

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