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

  • Exam Code: PL-300 Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Sep 07, 2026
  • Q & A: 472 Questions and Answers

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

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Microsoft Power BI Data Analyst Exam Certification Details:

Sample QuestionsMicrosoft Power BI Data Analyst Sample Questions
Schedule ExamPearson VUE
Books / TrainingCourse PL-300T00: Microsoft Power BI Data Analyst
Passing Score700 / 1000
Duration180 mins
Exam NameMicrosoft Certified - Power BI Data Analyst Associate
Exam Price$165 (USD)
Exam CodePL-300
Number of Questions40-60

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Understanding Microsoft Power BI Data Analyst Certification Exam Topics

Microsoft Power BI Data Analyst Certification Exam Topics are below:

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

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Why Microsoft Power BI Data Analyst Certification Exam is so difficult

No matter how many times you take the Microsoft Power BI Data Analyst Certification Exam, you will never be able to finish it. This is because the exam is designed to be as difficult as possible. When you first sit down and begin answering questions, you may feel like there are a lot of easy ones. This is just part of the test's strategy. they want to make sure that you think everything's going smoothly, so that when they throw in a difficult question later on, it will be much harder for you to answer.

The Microsoft certification exams are considered to be the toughest in the industry. This is because of the fact that if you have passed one of these exams, then it means that you have gone through a tough time and have shown that you are capable enough to handle any situation. Microsoft Power BI Data Analyst Certification Exam is designed to give you a hard time. It won't let up until you finally give up entirely and surrender your certification. Free4Torrent Microsoft PL-300 Dumps are the only way to pass your exam and get certified in your first attempt.

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

Microsoft PL-300 Deutsch Exam Syllabus Topics:

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

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