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

DA-100 Deutsch Exam Questions
  • Exam Code: DA-100-Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Updated: Jul 17, 2026
  • Q & A: 150 Questions and Answers
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DA-100 Deutsch exam dumps

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

The following will be discussed in MICROSOFT DA-100 practice exams and MICROSOFT DA-100 practice test:

  • Prepare the data
  • Deploy and maintain deliverables
  • Visualize the data
  • Model the data
  • Analyze the data

Exam Details

Microsoft DA-100 is an associate-level certification exam, which means that irrespective of your current hands-on experience in the subject area, you can still work towards passing this test and obtaining the certificate. All you need is a thorough understanding of the exam topics and diligent preparation.

The DA-100 exam contains 40-60 questions, covering different types, such as case studies, multiple choice, drag and drop, active screen, and build list, among others. This test can be scheduled using Pearson VUE, the official administrator of the Microsoft certification exams. When you are ready to register for this test, you have to pay the fee of $165. This applies to a single sitting for the exam. If you do not get the required passing score that is 720 points, you must pay a new fee to retake the test.

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

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Microsoft DA-100 Deutsch Exam Syllabus Topics:

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

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