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

  • Exam Code: DA-100日本語
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Updated: Sep 21, 2026
  • Q & A: 150 Questions and Answers

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Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Deploy and maintain deliverables

The following will be discussed in MICROSOFT DA-100 exam dumps:

  • Manage datasets
  • Configure incremental refresh settings
  • Publish, import, or update assets in a workspace
  • Identify downstream dataset dependencies
  • Configure and update a workspace app
  • Create and configure a workspace
  • Create and manage workspaces
  • Providing access to datasets
  • Assign workspace roles
  • Promote or certify Power BI content
  • Recommend a development lifecycle strategy
  • Use deployment pipelines
  • Configure a dataset scheduled refresh
  • Configure row-level security group membership
  • Apply sensitivity labels to workspace content

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

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