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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 06, 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
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
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  • Q & A: 150 Questions and Answers
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3. Data Visualization (20-25%):

Here the candidates have to show their knowledge of:

  • Creating reports: The examinees must be able to demonstrate their skills in importing custom visuals, configuring and formatting visualization, designing and configuring accessibility, and configuring automatic page refresh. This topic also requires competence in applying filtering and slicing, selecting suitable visualization types, and including visualization items in reports.
  • Creating dashboards:This domain will measure the individuals’ skills in managing tiles within a dashboard, setting mobile view, adding dashboard themes, configuring data classification, configuring data alerts, and using Q&A features.
  • Enriching reports for Usage: This area requires that the test takers develop competence in configuring bookmarks, creating custom tooltips, configuring Sync Slicers, and navigation for reports. It also covers their skills in exporting report data, utilizing selection pane, drill-through & cross filter.

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

About Exam DA-100: Analyzing Data with Microsoft Power BI

The Microsoft DA-100 test is for those individuals who have at least some experience in working with Power Bi although it is not a strict requirement but a recommendation. In addition, the applicant should have some experience in the concepts of scaling data models, data visualizations, data cleaning, and data processing. When it comes to the test details, DA-100 exam is available in English, Chinese (Simplified), Korean, Japanese and will require $165 for registration. The registered candidate can use the Pearson VUE platform for scheduling an exam. In the final test, individuals will experience around 40-60 items that will have to be solved in 3 hours.

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Microsoft DA-100日本語 Exam Syllabus Topics:

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

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