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

"Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)", also known as DA-100 exam, is a Microsoft Certification. With the complete collection of questions and answers, Pass4sureCert has assembled to take you through 150 Q&As to your DA-100 Exam preparation. In the DA-100 exam resources, you will cover every field and category in Microsoft Certified: Data Analyst Associate Certification helping to ready you for your successful Microsoft Certification.

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  • Exam Code: DA-100
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Certification Provider: Microsoft
  • Corresponding Certification: Microsoft Certified: Data Analyst Associate
  • Updated: Jul 28, 2026
  • No. of Questions: 150 Questions & Answers with Testing Engine
  • Download Limit: Unlimited

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Career Opportunities

The professionals with the Microsoft Certified: Data Analyst Associate certification are qualified for a variety of job titles. These include a Junior Data Analyst, an Associate Analyst, an Associate Consultant, a Certified Retail Analyst, a Technology Support Analyst, a Digital Media Analyst, and a Network Analyst. The average salary for these positions is $52,000 per annum.

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

What should you know about the Microsoft DA-100 exam before going for it?

The intended candidates for the Microsoft DA-100 exam are Data Analysts. These professionals help the organizations make the most of the value of data assets through the use of Microsoft Power BI. They also collaborate with the major stakeholders across the company to deliver the appropriate insights based on the recognized business prerequisites.

Microsoft DA-100 is an associate-level certification test, and as such, it does not have any official prerequisites. However, Microsoft recommends that the students have a good fundamental knowledge of data processing and data repositories both in Cloud and on-premises. The candidates for the exam should have the relevant skills in building and designing scalable data models, facilitating advanced analytic abilities, and transforming and cleaning data to provide significant business value through understandable data visualizations.

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Certification Path

After acquiring the Microsoft Certified: Data Analyst Associate certification, you are competent to go further and broaden your expertise in the Microsoft BI platform. Although this certificate is not a direct requirement for other BI-related validations, it will sure help you get started with the higher-level certifications like the Microsoft Certified: Dynamics 365 + Power Platform Solution Architect Expert.

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2. Data Model (25-30%):

The main domains of this section are:

  • Creation of measures with DAX: The applicants should be able to utilize DAX in building multifaceted measures, use CALCULATE to maneuver filters, and utilize the fundamental statistical functions for enhancing data. This domain also requires their skills in creating semi-additive measures and implementing Time Intelligence with DAX.
  • Data model design: The learners need to have competence in defining tables, role-playing dimensions, quick measures, and cross-filter direction & relationship cardinality. The topic also requires their skills in designing a data model to fulfill the performance prerequisites, creating common data tables, and solving many-to-many relationships.
  • Model performance optimization: This module will measure your competence in enhancing cardinality levels through changing data types and summarization. It will also evaluate your skills in eliminating unnecessary columns and rows, creating and managing aggregations, and identifying poorly performing visuals, measures, and relationships.
  • Data model development: This objective requires one’s ability to create hierarchies, calculated tables, and calculated columns. It also covers your skills in establishing Q&A features, implementing row-level security functions, and applying security filtering and cross-filter direction.

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Microsoft DA-100 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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
          Topic 2: 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. Handle missing, duplicate, and inconsistent data
                • 2. Use Power Query Editor for data shaping
                  Topic 3: 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 4: Deploy and maintain deliverables10-15%- Secure and share content
                          • 1. Share dashboards with users and groups
                            • 2. Implement row-level security (RLS)
                              - Manage workspaces and datasets
                              • 1. Publish reports to Power BI Service
                                • 2. Configure dataset refresh schedules
                                  Topic 5: 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

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