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: Aug 14, 2026     Q & A: 150 Questions and Answers

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3. Data Visualization (20-25%):

Here the candidates have to show their knowledge of:

  • 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.
  • 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.
  • 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.

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

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Certification Path

After acquiring the Microsoft Certified: Data Analyst Associate certification, you are competent to go further and broaden your expertise in the Microsoft BI platform. Although this certificate is not a direct requirement for other BI-related validations, it will sure help you get started with the higher-level certifications like the Microsoft Certified: Dynamics 365 + Power Platform Solution Architect Expert.

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Downloadable, printable exams (in PDF format)

Microsoft DA-100日本語 Exam Syllabus Topics:

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

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