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  • Exam Code: DA-100J
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Last Updated: Jul 31, 2026
  • Q & A: 150 Questions and Answers
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  • Exam Code: DA-100J
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Last Updated: Jul 31, 2026
  • Q & A: 150 Questions and Answers
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Exam Topics

Microsoft expects that the successful candidates get the passing score of 720 points on a scale of 100-1000. This mark is achievable if you put your mind to it. To succeed, you must understand the Microsoft DA-100 exam topics that are as follows:

1. Data Preparation (20-25%):

This part includes the following areas:

  • Data profile: The test takers should have competence in interrogating data statistics and column properties as well as identifying data anomalies and evaluating data structures.
  • Cleaning, loading, & transforming data: This subject area requires that the students understand how to combine queries, utilize user-friendly value substitutions, solve data import errors, transform and measure column data types, and configure the data loading. It also covers their skills in applying data shape transformations for table structures and user-friendly conventional naming for queries and columns. The individuals should also have the expertise in leveraging Advanced Editor or modifying Power Query M-code.
  • Collecting data from various data sources: The candidates must be able to connect and identify data sources, alternate data source settings, and choose storage mode and shared datasets, or build local datasets. They also need the capacity to select the relevant query type, utilize parameters, Microsoft Dataverse, create or use PBIDS files, and data flow.

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

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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:

  • Transform and model the data
  • Embed Power BI visuals into Power BI apps
  • Create workspaces - places to collaborate with colleagues to create collections of dashboards and reports
  • Integrate with other Microsoft solutions, such as Azure data services
  • Connect to data
  • Share reports with others using the Power BI service
  • Create reports and dashboards that are collections of visuals
  • Create charts and graphs
  • 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

Some other benefits are as follows:

  • 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.
  • 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.
  • 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.
  • 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 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.
  • It will not only help those looking to become data analysts gain practical experience but also boost their chances of finding and securing employment.

Microsoft DA-100日本語 Exam Syllabus Topics:

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

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