Microsoft DA-100日本語 : Analyzing Data with Microsoft Power BI (DA-100日本語版)

DA-100日本語 real exams

Exam Code: DA-100J

Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)

Updated: Aug 04, 2026

Q & A: 150 Questions and Answers

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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

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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日本語 Exam Syllabus Topics:

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

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