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: Aug 21, 2026
  • Q&As: 472 Questions and Answers

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About Microsoft PL-300 Deutsch Real Exam

Exam PL-300: Microsoft Power BI Data Analyst

The Power BI data analyst delivers actionable insights by leveraging available data and applying domain expertise. The Power BI data analyst collaborates with key stakeholders across verticals to identify business requirements, cleans and transforms the data, and then designs and builds data models by using Power BI. The Power BI data analyst provides meaningful business value through easy-to-comprehend data visualizations, enables others to perform self-service analytics, and deploys and configures solutions for consumption. Candidates for this exam should be proficient using Power Query and writing expressions by using DAX.

Passing score: 700. Learn more about exam scores.

Part of the requirements for: Microsoft Certified: Power BI Data Analyst Associate

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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.

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Microsoft Power BI Data Analyst Exam Certification Details:

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

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

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Microsoft offers a wide range of certifications to enhance your knowledge in various areas of IT. The Microsoft Power BI Data Analyst Certification Exam is one of the most popular and sought-after Microsoft certification exams which aims to develop your skills as a data analyst by providing you with an opportunity to learn about basic business intelligence concepts, data analysis techniques and tools that can be used for building data models. Microsoft PL-300 Dumps are the best way to pass your exam.

The Microsoft certification exams enable you to validate your knowledge and skills in the system. If you have a job, it helps you to get promoted. The certification is a must-have for IT professionals. Microsoft Power BI Data Analyst Certification Exam is an exam designed by Microsoft for data analysts who are interested in gaining knowledge of the Microsoft Azure cloud platform and Power BI suite tools. The exam tests your ability to design, develop, and implement analytical solutions using Excel, Power Pivot, Power View and other related tools.

Microsoft PL-300 Deutsch Exam Syllabus Topics:

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

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