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

DA-100日本語

Exam Code: DA-100J

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

Updated: Aug 21, 2026

Q & A: 150 Questions and Answers

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About Microsoft DA-100日本語 Exam

How to Prepare for Exam DA-100: Analyzing Data with Microsoft Power BI

Preparation Guide for Exam DA-100: Analyzing Data with Microsoft Power BI

Introduction for Exam DA-100: Analyzing Data with Microsoft Power BI

Analyzing Data with Microsoft Power BI certification demonstrates your expertise in analyzing data with both Power BI. This certification is for data analysts who are responsible for designing and building scalable data models, cleaning, transforming, and analyzing data. The exam includes questions about Data preparation, tools, queries and tables, visualization types and support, dashboards creation. Data Analysts also collaborate with IT and business teams to ensure that data analysis is providing business value.

Real4test offers detailed exam dumps and MICROSOFT DA-100 practice exams and MICROSOFT DA-100 practice test to prepare candidates, who are going to be data analysts in the future, to prepare and pass this exam in the first go.

Exam DA-100: Analyzing Data with Microsoft Power BI will allow you to learn:

  • Perform Quick Data Analysis with Power BI

With the help of Power BI, you can collect your company's data, whether it's located in the cloud or locally, and provides quick and easy access to this data - all without having to ask any human being for help.

  • Generate Accurate Interactive reporting

Your customers can see all data on one screen and the Power BI Mobile apps are automatically updated with changes to your data so you can access updated data and reports, no matter where you are.

  • Financial overview

Companies of a certain size can benefit from Power BI's analytical reporting features and the ability to access their data across multiple devices.

  • How Power BI is user friendly

With the help of Power BI innovative tools, you can easily find out what data you want to see and how the results will look like. The tool allows you to switch between different formats in order to give you a more visual representation of your data. Power BI can also connect to a wide variety of databases and information sources, including cloud-based sources such as Azure SQL Database, Oracle, Salesforce.com, Amazon Redshift, Dropbox Business, Google Analytics Premium, and Tableau Online.

  • Power BI Data Visualization

Power BI makes productive and creative. You no longer need to go through complex processes without leaving the Power BI interface. The benefit of this process is that you can, as a company, focus on the data and actions of your customers rather than creating lengthy reports and documents to satisfy them. It combines data from multiple sources into a single, standardized, format.

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

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More about DA-100 Exam

This test focuses on technical domains such as structuring data, using DAX to create measures, making a data model, acquiring data from numerous sources, and preparing and analyzing data. Also, it checks one’s skills in interpreting reports, revealing data insights, forming dashboards, visualizing data, handling datasets, and lastly, incorporating and maintaining deliverables. The registration fee for DA-100 is $165. The test is available in numerous languages including Japanese, Chinese, Korean, and English. DA-100 can be taken at local physical centers or online under proctored conditions.

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Microsoft DA-100日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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. Assign workspace roles
  • 2. Configure and update a workspace app
  • 3. Create and configure a workspace
Topic 2: Prepare the data20%- Profile the data
  • 1. Identify data anomalies
  • 2. Interpret data distribution and variance
  • 3. Examine data structures
- Get data from different data sources
  • 1. Choose an appropriate Power BI data source
  • 2. Select a storage mode
  • 3. Select a shared dataset or create a local dataset
  • 4. Identify and connect to a data source
  • 5. Change data source settings
- 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
- Transform and load the data
  • 1. Design a star schema
  • 2. Create and transform tables
  • 3. Select appropriate column data types
  • 4. Create and transform columns
  • 5. Define relationship cardinality and cross-filter direction
Topic 3: Analyze the data15%- Perform advanced analysis
  • 1. Perform What-if analysis
  • 2. Use advanced analytical custom visuals
  • 3. Identify outliers
  • 4. Use the Analyze feature
- Enhance reports for usability and storytelling
  • 1. Apply sorting
  • 2. Configure sync slicers
  • 3. Configure navigation for a report
  • 4. Configure bookmarks
  • 5. Edit and configure interactions between visuals
  • 6. Group and layer visuals
  • 7. Create custom tooltips
Topic 4: Model the data30%- Create measures by using DAX
  • 1. Create calculated measures
  • 2. Implement Time Intelligence using DAX
  • 3. Use DAX logical functions
  • 4. Create semi-additive measures
  • 5. Use DAX aggregation functions
- Develop a data model
  • 1. Create calculated columns
  • 2. Implement row-level security roles
  • 3. Create hierarchies
  • 4. Create calculated tables
- Design a data model
  • 1. Design and implement role-playing dimensions
  • 2. Define the tables
  • 3. Define a relationship's cross-filter direction and security filtering
  • 4. Configure table and column properties
  • 5. Define quick measures
- 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
Topic 5: Visualize the data25%- Enforce accessibility
  • 1. Design accessible reports
  • 2. Configure tab order
  • 3. Use accessibility features
- Create dashboards
  • 1. Use the Q&A feature
  • 2. Set mobile view
  • 3. Configure data alerts
  • 4. Manage tiles on a dashboard
- Create reports
  • 1. Import a custom visual
  • 2. Create and manage bookmarks
  • 3. Configure conditional formatting
  • 4. Apply slicing and filtering
  • 5. Format and configure visualizations
  • 6. Choose an appropriate visualization type
  • 7. Add visualization items to reports
DA-100J Related Exams
DA-100 - Analyzing Data with Microsoft Power BI
DA-100-Deutsch - Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
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