Microsoft PL-300 Deutsch Q&A - in .pdf

  • Exam Code: PL-300 Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Aug 25, 2026
  • Q & A: 472 Questions and Answers
  • Printable Microsoft PL-300 Deutsch PDF Format. It is an electronic file format regardless of the operating system platform.
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Microsoft PL-300 Deutsch Q&A - Testing Engine

  • Exam Code: PL-300 Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Aug 25, 2026
  • Q & A: 472 Questions and Answers
  • Install on multiple computers for self-paced, at-your-convenience training.
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  • Go to the official website of Microsoft, and click on “Microsoft Learning”.

  • After successful registration process, you will receive an email confirmation from Microsoft with all the details about your course including access code etc., which will be sent to your registered email ID provided during registration process.

  • Then you need to select your preferred payment method which includes credit card or PayPal account etc., and you will receive an email confirmation after successful payment using your credit card or PayPal account etc.

  • The next step is to fill out your personal information such as name, email address, country and state city etc., which is mandatory to complete your registration process successfully.

  • You will see a list of courses that are available on this website. Select “Microsoft Power BI Data Analyst Certification Exam” and click on “Enroll Now” button.

Microsoft Power BI Data Analyst Exam Certification Details:

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

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

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Microsoft PL-300 Deutsch Exam Syllabus Topics:

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

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