Learn with Microsoft : DA-100 training material for 100% pass

Last Updated: Sep 03, 2026

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Skills measured

  • Prepare the data (20-25%)
  • Analyze the data (10-15%)
  • Deploy and maintain deliverables (10-15%)
  • Visualize the data (20-25%)
  • Model the data (25-30%)

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

Exam DA-100: Analyzing Data with Microsoft Power BI

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

Microsoft DA-100 Exam Syllabus Topics:

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