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

DA-100 Deutsch Exam Questions
  • Exam Code: DA-100-Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Updated: Sep 12, 2026
  • Q & A: 150 Questions and Answers
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Microsoft DA-100 Deutsch exam demo

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.

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.

Microsoft DA-100: Analyzing Data with Microsoft Power BI is an exam designed to test individuals' ability to analyze data with Power BI. DA-100-Deutsch exam is part of the Microsoft Certified: Data Analyst Associate certification, which is designed to help individuals demonstrate their skills in data analysis and visualization with Power BI.

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

Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Prepare the data

The following will be discussed in MICROSOFT DA-100 exam dumps:

  • Combine queries
  • Use or create a data flow
  • Interrogate data statistics
  • Apply data shape transformations to table structures
  • Use or create a PBIDS file
  • Apply user-friendly value replacements
  • Interrogate column properties
  • Change data source settings
  • Examine data structures
  • Choose an appropriate query type
  • Resolve inconsistencies, unexpected or null values, and data quality issues
  • Configure data loading
  • Select a shared dataset or create a local dataset
  • Resolve data import errors
  • Select a storage mode
  • Use Microsoft Dataverse
  • Apply user-friendly naming conventions to columns and queries
  • Identify data anomalies
  • Identify and connect to a data source
  • Leverage Advanced Editor to modify Power Query M code
  • Identify and create appropriate keys for joins
  • Evaluate and transform column data types
  • Use parameters
  • Identify query performance issues

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Microsoft DA-100 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Model the data25-30%- Create calculated columns and measures
  • 1. Use DAX for calculations
    • 2. Optimize model performance
      - Design data models
      • 1. Design star and snowflake schemas
        • 2. Create relationships between tables
          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)
                  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
                          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. Apply filters, slicers, and drill-through
                                • 2. Use bookmarks and navigation elements
                                  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

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