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  • Exam Code: DA-100J
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Last Updated: Nov 11, 2026
  • Q & A: 150 Questions and Answers
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  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Last Updated: Nov 11, 2026
  • Q & A: 150 Questions and Answers
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Analyzing Data with Microsoft Power BI Exam Certification Details:

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

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

The benefit in Obtaining the Exam DA-100: Analyzing Data with Microsoft Power BI

Microsoft Power BI is a suite of business intelligence (BI), reporting, and data visualization products and services for individuals and teams. Power BI stands out with streamlined publication and distribution capabilities, as well as integration with other Microsoft products and services.

Through Power BI, users can:

  • Connect to data
  • Share data, dashboards, and reports with other Power BI users
  • Enable peer-to-peer sharing - a way to share published dashboards or reports with people outside the organization who have a Power BI Pro license
  • Create reports and dashboards that are collections of visuals
  • Share reports with others using the Power BI service
  • Create workspaces - places to collaborate with colleagues to create collections of dashboards and reports
  • Transform and model the data
  • Integrate with other Microsoft solutions, such as Azure data services
  • Embed Power BI visuals into Power BI apps
  • Create charts and graphs

Some other benefits are as follows:

  • When candidates applying for a job or looking to promotion in their current position, a Microsoft certification in the field in which candidates are applying will put them at the top of the list and make them desirable candidates for employers.
  • Candidates will get in-depth knowledge by completing the courses along with the access to revision materials for 6 months upon completion means they will have a wider skill set when it comes to the various technologies and systems than an uncertified professional.
  • After completion of exam, candidates receive official confirmation from Microsoft that you are now fully certified in their chosen field. This can be now added to their CV, cover letters and job applications.
  • It will not only help those looking to become data analysts gain practical experience but also boost their chances of finding and securing employment.
  • Organization owners invest a lot in their employees when it comes to their training with the goal of making them quicker, more efficient, and more knowledgeable about their role. Certified Professional will reduce the time he spends on tasks, meaning he can get more done this could help reduce company downtime when repairing faults on a system or fixing hardware problems.
  • Candidates will be able to apply that knowledge by experiencing hands-on use of a supported Microsoft product (e.g., Excel or PowerPoint). The exam will also help prepare individuals for the advanced data analysis skills required for more sophisticated reports and presentations.
  • After completion of the exam, candidates receive official confirmation from Microsoft that they are now fully certified in their chosen field.
  • When Candidates applying for a job or looking to promotion in their current position, a Microsoft certification in the field in which Candidates are applying will put you at the top of the list and make them a desirable candidate for employers.

For more info about Exam DA-100: Analyzing Data with Microsoft Power BI

Exam DA-100: Analyzing Data with Microsoft Power BI

What should you know about the Microsoft DA-100 exam before going for it?

The intended candidates for the Microsoft DA-100 exam are Data Analysts. These professionals help the organizations make the most of the value of data assets through the use of Microsoft Power BI. They also collaborate with the major stakeholders across the company to deliver the appropriate insights based on the recognized business prerequisites.

Microsoft DA-100 is an associate-level certification test, and as such, it does not have any official prerequisites. However, Microsoft recommends that the students have a good fundamental knowledge of data processing and data repositories both in Cloud and on-premises. The candidates for the exam should have the relevant skills in building and designing scalable data models, facilitating advanced analytic abilities, and transforming and cleaning data to provide significant business value through understandable data visualizations.

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Microsoft DA-100日本語 Exam Syllabus Topics:

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

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