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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: Jul 28, 2026

Q&A Number: 150 Q&As

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The professionals with the Microsoft Certified: Data Analyst Associate certification are qualified for a variety of job titles. These include a Junior Data Analyst, an Associate Analyst, an Associate Consultant, a Certified Retail Analyst, a Technology Support Analyst, a Digital Media Analyst, and a Network Analyst. The average salary for these positions is $52,000 per annum.

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

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DA-100 Deutsch exam dumps

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

For more info about Exam DA-100: Analyzing Data with Microsoft Power BI

Exam DA-100: Analyzing Data with Microsoft Power BI

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Microsoft DA-100 Deutsch Exam Syllabus Topics:

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

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