Microsoft PL-300 Deutsch Exam : Microsoft Power BI Data Analyst (PL-300 Deutsch Version)

Microsoft PL-300 Deutsch exam
  • Exam Code: PL-300-Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Aug 24, 2026
  • Q & A: 472 Questions and Answers
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Microsoft Power BI Data Analyst Exam Certification Details:
Exam NameMicrosoft Certified - Power BI Data Analyst Associate
Number of Questions40-60
Schedule ExamPearson VUE
Books / TrainingCourse PL-300T00: Microsoft Power BI Data Analyst
Passing Score700 / 1000
Exam Price$165 (USD)
Sample QuestionsMicrosoft Power BI Data Analyst Sample Questions
Duration180 mins
Exam CodePL-300

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

What are the steps to follow for the registration of the Microsoft Power BI Data Analyst Certification Exam

The steps to follow for the registration of the Microsoft Power BI Data Analyst Certification Exam are as follows:

  • 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.

  • Go to the official website of Microsoft, and click on “Microsoft Learning”.

  • 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.

  • 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.

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Microsoft PL-300 Deutsch Exam Syllabus Topics:
SectionWeightObjectives
Topic 1: 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 2: Deploy and maintain assets15-20%- Manage workspaces and datasets
          • 1. Configure refresh schedules
            • 2. Publish and manage datasets
              - Secure and monitor Power BI
              • 1. Monitor usage and performance
                • 2. Implement row-level security
                  Topic 3: Prepare the data15-20%- Clean, transform, and load data
                  • 1. Clean data using Power Query
                    • 2. Shape and transform data
                      - Get data from data sources
                      • 1. Select storage modes
                        • 2. Identify and connect to data sources
                          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. Design report layouts
                                • 2. Create visuals and KPIs

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