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 31, 2026
  • Q & A: 150 Questions and Answers

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Ideal Audience and Required Skills

DA-100 is intended for data analysts who use MS Power BI to enhance the value of the data their organization holds. These professionals are responsible for polishing and transforming data, creating expandable data models, and performing data visualizations that can be interpreted and analyzed to withdraw critical information. Data analysts also work alongside other stakeholders of the business to provide relevant data according to their company’s requirements. Thus, a strong prior understanding of both cloud & on-premises data processing and data repositories is also required by those specialists who are going to take test DA-100.

Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Analyze the data

The following will be discussed in MICROSOFT DA-100 exam dumps:

  • Use the Key Influencers to explore dimensional variances
  • Use the decomposition tree visual to break down a measure
  • Enhance reports to expose insights
  • Apply AI Insights
  • Apply slicers and filters
  • Apply conditional formatting
  • Use groupings and binnings
  • Personalize visuals
  • Add a Quick Insights result to a report
  • Conduct Time Series analysis
  • Use the Q&A visual
  • Perform advanced analysis
  • Use the Play Axis feature of a visualization
  • Identify outliers
  • Explore statistical summary
  • Perform top N analysis
  • Create reference lines by using Analytics pane

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

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The certifications from a renowned vendor such as Microsoft enhance the chances of the professionals to land a decent job. The individuals with the Microsoft Certified: Data Analyst Associate certificate are also at an advantage because this option validates their skills and competence in a specific technical domain. Some of the job titles that the certified specialists can pursue include a Data Analyst, a Business Analyst, a Mobile Test Analyst, a Revenue Analyst, and a Quantity Assurance Analyst. The average salary for these experts is $105,000 per annum.

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Certification Opportunities

Upon completion of this single exam and obtaining the certification, the path doesn’t end. The candidates can pursue other Microsoft certificates to expand their competence area. These include the options such as Microsoft Certified: Azure Data Engineer Associate and Microsoft Certified: Azure Data Scientist Associate, to name a few.

Microsoft DA-100日本語 Exam Syllabus Topics:

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

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