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

  • Exam Code: DA-100-Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Updated: Jul 21, 2026
  • Q&As: 150 Questions and Answers

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Exam Details

Microsoft DA-100 is an associate-level certification exam, which means that irrespective of your current hands-on experience in the subject area, you can still work towards passing this test and obtaining the certificate. All you need is a thorough understanding of the exam topics and diligent preparation.

The DA-100 exam contains 40-60 questions, covering different types, such as case studies, multiple choice, drag and drop, active screen, and build list, among others. This test can be scheduled using Pearson VUE, the official administrator of the Microsoft certification exams. When you are ready to register for this test, you have to pay the fee of $165. This applies to a single sitting for the exam. If you do not get the required passing score that is 720 points, you must pay a new fee to retake the test.

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

Requirements

The Microsoft DA-100: Analyzing Data with Microsoft Power BI test does not have any official prerequisite. However, the applicants must understand the content of the exam topics. They also need to have fundamental knowledge of data processing and data repositories in Cloud and on-premises.

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Microsoft DA-100 Deutsch Exam Syllabus Topics:

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

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