Microsoft Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) : DA-100 Deutsch

  • Exam Code: DA-100 Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Updated: Jul 28, 2026
  • Q & A: 150 Questions and Answers

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About Microsoft Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) : DA-100 Deutsch Exam

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The cost of Exam DA-100: Analyzing Data with Microsoft Power BI is $165.

  • Passing Score: 70%
  • Number of Questions: 40
  • Length of Examination: 90 minutes
  • Format: Multiple choices, multiple answers

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100

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Skills measured

  • Visualize the data (20-25%)
  • Deploy and maintain deliverables (10-15%)
  • Model the data (25-30%)
  • Analyze the data (10-15%)
  • Prepare the data (20-25%)

Microsoft DA-100 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Visualize the data25-30%- Create reports
  • 1. Design interactive reports in Power BI Desktop
    • 2. Use visuals such as charts, maps, and tables
      - Enhance reports
      • 1. Use bookmarks and navigation elements
        • 2. Apply filters, slicers, and drill-through
          Topic 2: Deploy and maintain deliverables10-15%- Manage workspaces and datasets
          • 1. Configure dataset refresh schedules
            • 2. Publish reports to Power BI Service
              - Secure and share content
              • 1. Implement row-level security (RLS)
                • 2. Share dashboards with users and groups
                  Topic 3: Prepare the data20-25%- Get data from data sources
                  • 1. Select appropriate storage modes (Import, DirectQuery, Composite)
                    • 2. Connect to data sources (files, databases, cloud services)
                      - Clean and transform data
                      • 1. Use Power Query Editor for data shaping
                        • 2. Handle missing, duplicate, and inconsistent data
                          Topic 4: Model the data25-30%- Create calculated columns and measures
                          • 1. Use DAX for calculations
                            • 2. Optimize model performance
                              - Design data models
                              • 1. Create relationships between tables
                                • 2. Design star and snowflake schemas
                                  Topic 5: Analyze the data10-15%- Analyze data patterns
                                  • 1. Identify trends and outliers
                                    • 2. Use AI visuals and quick insights
                                      - Perform advanced analytics
                                      • 1. Apply statistical measures in reports
                                        • 2. Use DAX time intelligence functions

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