Microsoft 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 19, 2026
  • Q & A: 150 Questions and Answers

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

5. Deliverables Deployment and Maintenance (10-15%):

The topics for this part are the following:

  • Workspaces creation and management: The test takers must have competence in assigning workspace roles, using deployment pipeline, updating and configuring workspace apps, and applying sensitivity labels for workspace content. It also requires their skills in importing, updating, and publishing assets in workspaces, as well as recommending the development lifecycle strategy.
  • Datasets management: In the framework of this subtopic, the applicants will be evaluated based on their skills in configuring incremental refresh settings, dataset scheduled refresh, and group membership for row-level security. It will also measure their skills in providing access to the datasets and certifying or promoting Power BI content.

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

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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:

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

How to Register For Exam DA-100: Analyzing Data with Microsoft Power BI?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=DA-100&examname=Exam%20DA-100:%20Analyzing%20Data%20with%20Microsoft%20Power%20BI&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fda-100

Microsoft DA-100 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Deploy and maintain deliverables10-15%- Manage workspaces and datasets
  • 1. Configure dataset refresh schedules
    • 2. Publish reports to Power BI Service
      - Secure and share content
      • 1. Implement row-level security (RLS)
        • 2. Share dashboards with users and groups
          Prepare the data20-25%- Clean and transform data
          • 1. Handle missing, duplicate, and inconsistent data
            • 2. Use Power Query Editor for data shaping
              - Get data from data sources
              • 1. Select appropriate storage modes (Import, DirectQuery, Composite)
                • 2. Connect to data sources (files, databases, cloud services)
                  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
                          Visualize the data25-30%- Enhance reports
                          • 1. Use bookmarks and navigation elements
                            • 2. Apply filters, slicers, and drill-through
                              - Create reports
                              • 1. Design interactive reports in Power BI Desktop
                                • 2. Use visuals such as charts, maps, and tables
                                  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

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