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Microsoft DA-100 Deutsch : 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: Aug 14, 2026

Q & A: 150 Questions and Answers

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About Microsoft DA-100 Deutsch Exam

What career bonuses will you get after passing the Microsoft DA-100 exam?

The certifications from a renowned vendor such as Microsoft enhance the chances of the professionals to land a decent job. The individuals with the Microsoft Certified: Data Analyst Associate certificate are also at an advantage because this option validates their skills and competence in a specific technical domain. Some of the job titles that the certified specialists can pursue include a Data Analyst, a Business Analyst, a Mobile Test Analyst, a Revenue Analyst, and a Quantity Assurance Analyst. The average salary for these experts is $105,000 per annum.

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

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Exam DA-100: Analyzing Data with Microsoft Power BI

Data Analysts enable businesses to maximize the value of their data assets by using Microsoft Power BI. As a subject matter expert, Data Analysts are responsible for designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualizations. Data Analysts also collaborate with key stakeholders across verticals to deliver relevant insights based on identified business requirements.

The Data Analyst should have a fundamental understanding of data repositories and data processing both on-premises and in the cloud.

Part of the requirements for: Microsoft Certified: Data Analyst Associate

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Microsoft DA-100 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Analyze the data10-15%- Analyze data patterns
  • 1. Identify trends and outliers
    • 2. Use AI visuals and quick insights
      - Perform advanced analytics
      • 1. Use DAX time intelligence functions
        • 2. Apply statistical measures in reports
          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. Connect to data sources (files, databases, cloud services)
                • 2. Select appropriate storage modes (Import, DirectQuery, Composite)
                  Model the data25-30%- Create calculated columns and measures
                  • 1. Optimize model performance
                    • 2. Use DAX for calculations
                      - Design data models
                      • 1. Create relationships between tables
                        • 2. Design star and snowflake schemas
                          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
                                  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)

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