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

  • Exam Code: DA-100日本語
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Updated: Oct 18, 2026
  • Q & A: 150 Questions and Answers

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About Microsoft DA-100日本語 Exam

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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.

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

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

  • Change data source settings
  • Apply user-friendly value replacements
  • Apply user-friendly naming conventions to columns and queries
  • Select a shared dataset or create a local dataset
  • Interrogate column properties
  • Use or create a PBIDS file
  • Resolve data import errors
  • Use Microsoft Dataverse
  • Resolve inconsistencies, unexpected or null values, and data quality issues
  • Identify and connect to a data source
  • Identify and create appropriate keys for joins
  • Evaluate and transform column data types
  • Leverage Advanced Editor to modify Power Query M code
  • Use parameters
  • Configure data loading
  • Combine queries
  • Choose an appropriate query type
  • Use or create a data flow
  • Interrogate data statistics
  • Identify query performance issues
  • Examine data structures
  • Apply data shape transformations to table structures
  • Identify data anomalies
  • Select a storage mode

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

Exam Details

Microsoft DA-100 is an associate-level certification exam, which means that irrespective of your current hands-on experience in the subject area, you can still work towards passing this test and obtaining the certificate. All you need is a thorough understanding of the exam topics and diligent preparation.

The DA-100 exam contains 40-60 questions, covering different types, such as case studies, multiple choice, drag and drop, active screen, and build list, among others. This test can be scheduled using Pearson VUE, the official administrator of the Microsoft certification exams. When you are ready to register for this test, you have to pay the fee of $165. This applies to a single sitting for the exam. If you do not get the required passing score that is 720 points, you must pay a new fee to retake the test.

Microsoft DA-100日本語 Exam Syllabus Topics:

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

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