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 29, 2026     Q & A: 472 Questions and Answers

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About Microsoft PL-300 Deutsch Exam

Introduction of Microsoft PL-300 Exam

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.

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

  • The passing score: 700

  • Time Duration: 180 minutes

  • Number of Questions: 40-60 questions

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

Understanding Microsoft Power BI Data Analyst Certification Exam Topics

Microsoft Power BI Data Analyst Certification Exam Topics are below:

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

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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

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

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Microsoft PL-300 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Visualize and analyze data25-35%- Enhance reports for usability
  • 1. Implement drill-through and navigation
    • 2. Apply filters and slicers
      - Create reports and dashboards
      • 1. Create visuals and KPIs
        • 2. Design report layouts
          Prepare the data15-20%- Get data from data sources
          • 1. Identify and connect to data sources
            • 2. Select storage modes
              - Clean, transform, and load data
              • 1. Clean data using Power Query
                • 2. Shape and transform data
                  Model the data30-40%- Develop a data model
                  • 1. Create DAX calculations
                    • 2. Optimize model performance
                      - Design a data model
                      • 1. Design star schema
                        • 2. Define relationships and cardinality
                          Deploy and maintain assets15-20%- Secure and monitor Power BI
                          • 1. Implement row-level security
                            • 2. Monitor usage and performance
                              - Manage workspaces and datasets
                              • 1. Publish and manage datasets
                                • 2. Configure refresh schedules

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