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

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
  • PDF Version

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  • PDF Price: $69.98
  • Microsoft DA-100 Deutsch Value Pack

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  • Value Pack Total: $89.98

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More about DA-100 Exam

This test focuses on technical domains such as structuring data, using DAX to create measures, making a data model, acquiring data from numerous sources, and preparing and analyzing data. Also, it checks one’s skills in interpreting reports, revealing data insights, forming dashboards, visualizing data, handling datasets, and lastly, incorporating and maintaining deliverables. The registration fee for DA-100 is $165. The test is available in numerous languages including Japanese, Chinese, Korean, and English. DA-100 can be taken at local physical centers or online under proctored conditions.

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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

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Microsoft DA-100 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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 2: Visualize the data25-30%- Create reports
          • 1. Use visuals such as charts, maps, and tables
            • 2. Design interactive reports in Power BI Desktop
              - Enhance reports
              • 1. Use bookmarks and navigation elements
                • 2. Apply filters, slicers, and drill-through
                  Topic 3: Analyze the data10-15%- Perform advanced analytics
                  • 1. Apply statistical measures in reports
                    • 2. Use DAX time intelligence functions
                      - Analyze data patterns
                      • 1. Identify trends and outliers
                        • 2. Use AI visuals and quick insights
                          Topic 4: 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 5: 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. Implement row-level security (RLS)
                                        • 2. Share dashboards with users and groups

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