Microsoft DA-100 Deutsch Exam : 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 14, 2026
  • Q & A: 150 Questions and Answers

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About Microsoft DA-100 Deutsch Exam Questions

3. Data Visualization (20-25%):

Here the candidates have to show their knowledge of:

  • Enriching reports for Usage: This area requires that the test takers develop competence in configuring bookmarks, creating custom tooltips, configuring Sync Slicers, and navigation for reports. It also covers their skills in exporting report data, utilizing selection pane, drill-through & cross filter.
  • Creating reports: The examinees must be able to demonstrate their skills in importing custom visuals, configuring and formatting visualization, designing and configuring accessibility, and configuring automatic page refresh. This topic also requires competence in applying filtering and slicing, selecting suitable visualization types, and including visualization items in reports.
  • Creating dashboards:This domain will measure the individuals’ skills in managing tiles within a dashboard, setting mobile view, adding dashboard themes, configuring data classification, configuring data alerts, and using Q&A features.

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:

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

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

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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. Apply statistical measures in reports
        • 2. Use DAX time intelligence functions
          Model the data25-30%- Design data models
          • 1. Design star and snowflake schemas
            • 2. Create relationships between tables
              - Create calculated columns and measures
              • 1. Use DAX for calculations
                • 2. Optimize model performance
                  Prepare the data20-25%- Get data from data sources
                  • 1. Connect to data sources (files, databases, cloud services)
                    • 2. Select appropriate storage modes (Import, DirectQuery, Composite)
                      - Clean and transform data
                      • 1. Handle missing, duplicate, and inconsistent data
                        • 2. Use Power Query Editor for data shaping
                          Visualize the data25-30%- Enhance reports
                          • 1. Use bookmarks and navigation elements
                            • 2. Apply filters, slicers, and drill-through
                              - Create reports
                              • 1. Use visuals such as charts, maps, and tables
                                • 2. Design interactive reports in Power BI Desktop
                                  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. Configure dataset refresh schedules
                                        • 2. Publish reports to Power BI Service

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