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

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: Oct 17, 2026

Q & A: 150 Questions and Answers

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

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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.

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.
  • 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.

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

More about DA-100 Exam

This test focuses on technical domains such as structuring data, using DAX to create measures, making a data model, acquiring data from numerous sources, and preparing and analyzing data. Also, it checks one’s skills in interpreting reports, revealing data insights, forming dashboards, visualizing data, handling datasets, and lastly, incorporating and maintaining deliverables. The registration fee for DA-100 is $165. The test is available in numerous languages including Japanese, Chinese, Korean, and English. DA-100 can be taken at local physical centers or online under proctored conditions.

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5. Deliverables Deployment and Maintenance (10-15%):

The topics for this part are the following:

  • Datasets management: In the framework of this subtopic, the applicants will be evaluated based on their skills in configuring incremental refresh settings, dataset scheduled refresh, and group membership for row-level security. It will also measure their skills in providing access to the datasets and certifying or promoting Power BI content.
  • Workspaces creation and management: The test takers must have competence in assigning workspace roles, using deployment pipeline, updating and configuring workspace apps, and applying sensitivity labels for workspace content. It also requires their skills in importing, updating, and publishing assets in workspaces, as well as recommending the development lifecycle strategy.

Microsoft DA-100日本語 Exam Syllabus Topics:

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

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