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

DA-100日本語 pass collection

Exam Code: DA-100J

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

Updated: Jul 22, 2026

Q & A: 150 Questions and Answers

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Target Audience

The potential candidates for the Microsoft DA-100 exam are Data Analysts. These professionals have the responsibility of enabling organizations to optimize their data asset values through the use of Microsoft Power BI. They also have the job responsibility of building and designing scalable data models, facilitating advanced analytics capacities, and transforming and cleaning data. These duties are aimed to offer significant business values through easy-to-understand data visualization. The Data Analysts also partner with the major stakeholders to deliver significant insights according to the identified business prerequisites.

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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.

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

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