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: Sep 15, 2026
  • Q & A: 150 Questions and Answers

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

The topics for this part are the following:

  • 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.
  • 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.

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Languages: English, Chinese (Simplified), Korean, Japanese, French, German, Spanish

Retirement date: none

This exam measures your ability to accomplish the following technical tasks: prepare the data; model the data; visualize the data; analyze the data; and deploy and maintain deliverables.

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

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Microsoft DA-100 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Visualize the data25%- Create dashboards
  • 1. Configure data alerts
  • 2. Manage tiles on a dashboard
  • 3. Set mobile view
  • 4. Use the Q&A feature
- Create reports
  • 1. Configure conditional formatting
  • 2. Import a custom visual
  • 3. Choose an appropriate visualization type
  • 4. Add visualization items to reports
  • 5. Create and manage bookmarks
  • 6. Format and configure visualizations
  • 7. Apply slicing and filtering
- Enforce accessibility
  • 1. Configure tab order
  • 2. Design accessible reports
  • 3. Use accessibility features
Prepare the data20%- Transform and load the data
  • 1. Create and transform columns
  • 2. Design a star schema
  • 3. Select appropriate column data types
  • 4. Create and transform tables
  • 5. Define relationship cardinality and cross-filter direction
- Profile the data
  • 1. Interpret data distribution and variance
  • 2. Examine data structures
  • 3. Identify data anomalies
- Clean the data
  • 1. Evaluate data, including data statistics and column properties
  • 2. Resolve data import errors
  • 3. Resolve inconsistencies, unexpected or null values, and data quality issues
- Get data from different data sources
  • 1. Select a storage mode
  • 2. Choose an appropriate Power BI data source
  • 3. Change data source settings
  • 4. Select a shared dataset or create a local dataset
  • 5. Identify and connect to a data source
Model the data30%- Optimize model performance
  • 1. Improve performance by choosing optimal data types
  • 2. Optimize Power Query transformations
  • 3. Improve performance by identifying and removing unnecessary rows and columns
- Create measures by using DAX
  • 1. Implement Time Intelligence using DAX
  • 2. Create calculated measures
  • 3. Use DAX aggregation functions
  • 4. Create semi-additive measures
  • 5. Use DAX logical functions
- Develop a data model
  • 1. Create calculated tables
  • 2. Create hierarchies
  • 3. Create calculated columns
  • 4. Implement row-level security roles
- Design a data model
  • 1. Define a relationship's cross-filter direction and security filtering
  • 2. Configure table and column properties
  • 3. Design and implement role-playing dimensions
  • 4. Define the tables
  • 5. Define quick measures
Analyze the data15%- Enhance reports for usability and storytelling
  • 1. Configure sync slicers
  • 2. Configure navigation for a report
  • 3. Create custom tooltips
  • 4. Configure bookmarks
  • 5. Apply sorting
  • 6. Edit and configure interactions between visuals
  • 7. Group and layer visuals
- Perform advanced analysis
  • 1. Use advanced analytical custom visuals
  • 2. Identify outliers
  • 3. Use the Analyze feature
  • 4. Perform What-if analysis
Deploy and maintain deliverables10%- Manage datasets
  • 1. Provide access to datasets
  • 2. Configure cross-workspace sharing
  • 3. Configure a dataset scheduled refresh
  • 4. Configure row-level security group membership
- Create and manage workspaces
  • 1. Assign workspace roles
  • 2. Create and configure a workspace
  • 3. Configure and update a workspace app

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