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

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

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Exam Details

Microsoft DA-100 is an associate-level certification exam, which means that irrespective of your current hands-on experience in the subject area, you can still work towards passing this test and obtaining the certificate. All you need is a thorough understanding of the exam topics and diligent preparation.

The DA-100 exam contains 40-60 questions, covering different types, such as case studies, multiple choice, drag and drop, active screen, and build list, among others. This test can be scheduled using Pearson VUE, the official administrator of the Microsoft certification exams. When you are ready to register for this test, you have to pay the fee of $165. This applies to a single sitting for the exam. If you do not get the required passing score that is 720 points, you must pay a new fee to retake the test.

Certification Path for Exam DA-100: Analyzing Data with Microsoft Power BI

Analyzing Data with Microsoft Power BI is a fundamental exam and there are no pre-requisites. Successful candidates will get Microsoft Certified: Data Analyst Associate title.

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

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