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Microsoft Microsoft Certified: Data Analyst Associate 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 01, 2026

Q & A: 150 Questions and Answers

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Certification Path for Exam DA-100: Analyzing Data with Microsoft Power BI

Analyzing Data with Microsoft Power BI is a fundamental exam and there are no pre-requisites. Successful candidates will get Microsoft Certified: Data Analyst Associate title.

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Requirements

The Microsoft DA-100: Analyzing Data with Microsoft Power BI test does not have any official prerequisite. However, the applicants must understand the content of the exam topics. They also need to have fundamental knowledge of data processing and data repositories in Cloud and on-premises.

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

Certification Opportunities

Upon completion of this single exam and obtaining the certification, the path doesn’t end. The candidates can pursue other Microsoft certificates to expand their competence area. These include the options such as Microsoft Certified: Azure Data Engineer Associate and Microsoft Certified: Azure Data Scientist Associate, to name a few.

Microsoft DA-100 Deutsch Exam Syllabus Topics:

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

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