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

Microsoft DA-100 Deutsch Actual PDF
  • Exam Code: DA-100-Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Updated: Sep 24, 2026
  • Q & A: 150 Questions and Answers
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About Microsoft DA-100 Deutsch Actual Exam

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

About Data Analyst Associate and Who It Is Intended for

The Microsoft Certified: Data Analyst Associate is earned by passing DA-100 and is a role-based intermediate-level certification that falls under the Microsoft Power Platform certification hierarchy and authenticates the data analyst's expertise in utilizing Microsoft Power BI in maximizing the businesses' data assets value. The earner of this certificate will be competent to design and develop scalable data models along with cleaning and transformation of data to provide business values through data visualizations. Overall, this certification will be beneficial for data analysts in broadening their technological prowess and the values that they provide for businesses.

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

Analyzing Data with Microsoft Power BI Exam Certification Details:
Duration180 mins
Passing Score700 / 1000
Exam Price$165 (USD)
Sample QuestionsAnalyzing Data with Microsoft Power BI Sample Questions
Exam CodeDA-100
Books / TrainingDA-100T00-A: Analyzing Data with Power BI
Exam NameMicrosoft Certified - Data Analyst Associate
Number of Questions40-60
Schedule ExamPearson VUE

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Microsoft DA-100 Deutsch Exam Syllabus Topics:
SectionWeightObjectives
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 cross-workspace sharing
  • 2. Configure row-level security group membership
  • 3. Provide access to datasets
  • 4. Configure a dataset scheduled refresh
Analyze the data15%- Perform advanced analysis
  • 1. Perform What-if analysis
  • 2. Use the Analyze feature
  • 3. Use advanced analytical custom visuals
  • 4. Identify outliers
- Enhance reports for usability and storytelling
  • 1. Edit and configure interactions between visuals
  • 2. Create custom tooltips
  • 3. Configure bookmarks
  • 4. Group and layer visuals
  • 5. Apply sorting
  • 6. Configure navigation for a report
  • 7. Configure sync slicers
Prepare the data20%- Transform and load the data
  • 1. Select appropriate column data types
  • 2. Design a star schema
  • 3. Create and transform columns
  • 4. Create and transform tables
  • 5. Define relationship cardinality and cross-filter direction
- Profile the data
  • 1. Examine data structures
  • 2. Interpret data distribution and variance
  • 3. Identify data anomalies
- Get data from different data sources
  • 1. Identify and connect to a data source
  • 2. Select a storage mode
  • 3. Select a shared dataset or create a local dataset
  • 4. Choose an appropriate Power BI data source
  • 5. Change data source settings
- 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
Model the data30%- Create measures by using DAX
  • 1. Use DAX aggregation functions
  • 2. Create semi-additive measures
  • 3. Create calculated measures
  • 4. Implement Time Intelligence using DAX
  • 5. Use DAX logical functions
- Develop a data model
  • 1. Create calculated tables
  • 2. Create calculated columns
  • 3. Create hierarchies
  • 4. Implement row-level security roles
- Design a data model
  • 1. Define a relationship's cross-filter direction and security filtering
  • 2. Design and implement role-playing dimensions
  • 3. Define quick measures
  • 4. Define the tables
  • 5. Configure table and column properties
- 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
Visualize the data25%- Create dashboards
  • 1. Set mobile view
  • 2. Configure data alerts
  • 3. Manage tiles on a dashboard
  • 4. Use the Q&A feature
- Create reports
  • 1. Choose an appropriate visualization type
  • 2. Configure conditional formatting
  • 3. Import a custom visual
  • 4. Format and configure visualizations
  • 5. Create and manage bookmarks
  • 6. Add visualization items to reports
  • 7. Apply slicing and filtering
- Enforce accessibility
  • 1. Design accessible reports
  • 2. Use accessibility features
  • 3. Configure tab order

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