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DA-100日本語 pdf
  • Exam Code: DA-100日本語
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Updated: Aug 20, 2026
  • Q & A: 150 Questions and Answers
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  • Exam Code: DA-100日本語
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
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  • Exam Code: DA-100日本語
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Languages: English, Chinese (Simplified), Korean, Japanese, French, German, Spanish

Retirement date: none

This exam measures your ability to accomplish the following technical tasks: prepare the data; model the data; visualize the data; analyze the data; and deploy and maintain deliverables.

If you are a data analyst striving to get your skills validated in the scope of data assets, transformations, and models, then the Microsoft DA-100 exam is the one that will assist you with this.

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

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Microsoft DA-100日本語 Exam Syllabus Topics:

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

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