Microsoft PL-300 Deutsch : 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 18, 2026
  • Q & A: 472 Questions and Answers

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Learn more about the exam

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.

Passing Score, Duration & Questions For Microsoft PL-300 Exam

  • The passing score: 700

  • Number of Questions: 40-60 questions

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

  • Time Duration: 180 minutes

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Is Microsoft Power BI Data Analyst Certification Exam Worth It

There are many IT certifications available in the market today, but if you are looking for a job as a data analyst then you should give this certification a chance. This certification will help you to stand out from the crowd and get hired easily by many companies. Microsoft Power BI Data Analyst Certification Exam is the most valuable certification program for IT professionals in their respective fields. Microsoft PL-300 Dumps is a must-have certificate for all IT professionals who want to pursue their career in the field of data analytics.

The Microsoft Power BI Data Analyst Certification Exam is a certification exam that will help you to demonstrate your expertise in using the Microsoft Power BI platform. This exam tests the candidate's ability to analyze data with Power BI and create reports that are accurate, insightful and easy to read. Once you pass this exam, you will receive a certificate that shows your competence in performing these tasks. The certificate is valid for three years, so if you want to keep your skills up-to-date then you should take additional training during this time period.

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

For more info visit:

Microsoft Power BI Data Analyst Certification Exam Reference

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Microsoft PL-300 Deutsch Exam Syllabus Topics:

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

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