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 23, 2026   Q&As: 472 Questions and Answers
  • 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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What is the exam cost of the Microsoft Power BI Data Analyst Certification Exam

The cost of the Microsoft Power BI Data Analyst Certification Exam is 165 USD.

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

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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

Microsoft PL-300 Deutsch Exam Syllabus Topics:
SectionWeightObjectives
Topic 1: Deploy and maintain assets15-20%- Manage workspaces and datasets
  • 1. Publish and manage datasets
    • 2. Configure refresh schedules
      - Secure and monitor Power BI
      • 1. Monitor usage and performance
        • 2. Implement row-level security
          Topic 2: Prepare the data15-20%- Get data from data sources
          • 1. Select storage modes
            • 2. Identify and connect to data sources
              - Clean, transform, and load data
              • 1. Shape and transform data
                • 2. Clean data using Power Query
                  Topic 3: Model the data30-40%- Develop a data model
                  • 1. Create DAX calculations
                    • 2. Optimize model performance
                      - Design a data model
                      • 1. Define relationships and cardinality
                        • 2. Design star schema
                          Topic 4: Visualize and analyze data25-35%- Enhance reports for usability
                          • 1. Apply filters and slicers
                            • 2. Implement drill-through and navigation
                              - Create reports and dashboards
                              • 1. Create visuals and KPIs
                                • 2. Design report layouts

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