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Microsoft DA-100 Deutsch

DA-100-Deutsch

Exam Code: DA-100-Deutsch

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

Updated: Aug 15, 2026

Q & A: 150 Questions and Answers

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DA-100 Deutsch exam dumps

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Exam Topics

Microsoft expects that the successful candidates get the passing score of 720 points on a scale of 100-1000. This mark is achievable if you put your mind to it. To succeed, you must understand the Microsoft DA-100 exam topics that are as follows:

1. Data Preparation (20-25%):

This part includes the following areas:

  • Data profile: The test takers should have competence in interrogating data statistics and column properties as well as identifying data anomalies and evaluating data structures.
  • Collecting data from various data sources: The candidates must be able to connect and identify data sources, alternate data source settings, and choose storage mode and shared datasets, or build local datasets. They also need the capacity to select the relevant query type, utilize parameters, Microsoft Dataverse, create or use PBIDS files, and data flow.
  • Cleaning, loading, & transforming data: This subject area requires that the students understand how to combine queries, utilize user-friendly value substitutions, solve data import errors, transform and measure column data types, and configure the data loading. It also covers their skills in applying data shape transformations for table structures and user-friendly conventional naming for queries and columns. The individuals should also have the expertise in leveraging Advanced Editor or modifying Power Query M-code.

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

Microsoft DA-100 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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)
          Topic 2: 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
                  Topic 3: Analyze the data10-15%- Perform advanced analytics
                  • 1. Use DAX time intelligence functions
                    • 2. Apply statistical measures in reports
                      - Analyze data patterns
                      • 1. Use AI visuals and quick insights
                        • 2. Identify trends and outliers
                          Topic 4: Deploy and maintain deliverables10-15%- Secure and share content
                          • 1. Implement row-level security (RLS)
                            • 2. Share dashboards with users and groups
                              - Manage workspaces and datasets
                              • 1. Publish reports to Power BI Service
                                • 2. Configure dataset refresh schedules
                                  Topic 5: 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

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