Microsoft DA-100日本語 Q&A - in .pdf

  • DA-100日本語 pdf
  • Exam Code: DA-100日本語
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Updated: Aug 14, 2026
  • Q & A: 150 Questions and Answers
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  • Exam Code: DA-100日本語
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
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  • Updated: Aug 14, 2026
  • Q & A: 150 Questions and Answers
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  • DA-100日本語 Testing Engine
  • Exam Code: DA-100日本語
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Updated: Aug 14, 2026
  • Q & A: 150 Questions and Answers
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3. Data Visualization (20-25%):

Here the candidates have to show their knowledge of:

  • Creating reports: The examinees must be able to demonstrate their skills in importing custom visuals, configuring and formatting visualization, designing and configuring accessibility, and configuring automatic page refresh. This topic also requires competence in applying filtering and slicing, selecting suitable visualization types, and including visualization items in reports.
  • Enriching reports for Usage: This area requires that the test takers develop competence in configuring bookmarks, creating custom tooltips, configuring Sync Slicers, and navigation for reports. It also covers their skills in exporting report data, utilizing selection pane, drill-through & cross filter.
  • Creating dashboards:This domain will measure the individuals’ skills in managing tiles within a dashboard, setting mobile view, adding dashboard themes, configuring data classification, configuring data alerts, and using Q&A features.

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DA-100日本語 exam dumps

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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:

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

The Microsoft DA-100: Analyzing Data with Microsoft Power BI exam measures the capability of the individuals to complete certain technical tasks. These include preparing data, visualizing data, modeling data, analyzing data, and maintaining and deploying deliverables. This is the only test that is required to earn the Microsoft Certified: Data Analyst Associate certification.

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

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The Microsoft DA-100 exam (Analyzing Data with Microsoft Power BI) is intended for data analysts and is the only test required to obtain the Microsoft Certified: Data Analyst Associate certificate.

Microsoft DA-100日本語 Exam Syllabus Topics:

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