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: Aug 15, 2026
  • Q & A: 150 Questions and Answers

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How can you prepare for the Microsoft DA-100 exam to succeed?

The candidates can explore various resources to prepare for the Microsoft DA-100 exam. The Microsoft Learning Platform offers many study tools that the learners can use to achieve success in their test. The first step in the preparation process is to go over the detailed exam topics. After that, you can choose your resources carefully. Here are the official recommended materials for the DA-100 test:

  • Books

    The recommended book resource for this test is Exam Ref: DA-100 Analyzing Data with Microsoft Power BI by Daniil Maslyuk. This is a professional-level resource to help the learners optimize their performance in the test and improve their skills. The book can be found on the Microsoft Press Store.

  • Free Online Training

    The applicants who prefer self-paced study can explore the learning paths for the Microsoft DA-100 exam. There are six learning paths for this certification test, including Getting Started with Microsoft Data Analytics, Prepare Data for Analysis, Model Data in Power BI, and Visualize Data in Power BI, among others. Each path contains different modules that address particular topics of the exam.

  • Practice Test

    Microsoft also offers the official practice test for Microsoft DA-100. The exam questions cover all the objectives of the actual test. This means that you will be well prepared for any questions that may be administered in the exam.

  • Instructor-Led Training

    Microsoft recommends the Analyzing Data with Power BI training course for the candidates taking the DA-100 test. This training focuses on different best practices and methods associated with the technical and business requirements for visualizing, analyzing, and modeling data with Power BI. The individuals will learn how to process and access data from different data sources, including non-relational and relational data.

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

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Analyzing Data with Microsoft Power BI Exam Certification Details:

Sample QuestionsAnalyzing Data with Microsoft Power BI Sample Questions
Exam NameMicrosoft Certified - Data Analyst Associate
Books / TrainingDA-100T00-A: Analyzing Data with Power BI
Duration180 mins
Number of Questions40-60
Passing Score700 / 1000
Schedule ExamPearson VUE
Exam CodeDA-100
Exam Price$165 (USD)

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Microsoft DA-100日本語 Exam Syllabus Topics:

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

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