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: Aug 12, 2026
  • Q & A: 150 Questions and Answers

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About Microsoft DA-100日本語 Exam

Exam Topics

Microsoft expects that the successful candidates get the passing score of 720 points on a scale of 100-1000. This mark is achievable if you put your mind to it. To succeed, you must understand the Microsoft DA-100 exam topics that are as follows:

1. Data Preparation (20-25%):

This part includes the following areas:

  • Collecting data from various data sources: The candidates must be able to connect and identify data sources, alternate data source settings, and choose storage mode and shared datasets, or build local datasets. They also need the capacity to select the relevant query type, utilize parameters, Microsoft Dataverse, create or use PBIDS files, and data flow.
  • Cleaning, loading, & transforming data: This subject area requires that the students understand how to combine queries, utilize user-friendly value substitutions, solve data import errors, transform and measure column data types, and configure the data loading. It also covers their skills in applying data shape transformations for table structures and user-friendly conventional naming for queries and columns. The individuals should also have the expertise in leveraging Advanced Editor or modifying Power Query M-code.
  • Data profile: The test takers should have competence in interrogating data statistics and column properties as well as identifying data anomalies and evaluating data structures.

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

The following will be discussed in MICROSOFT DA-100 practice exams and MICROSOFT DA-100 practice test:

  • Visualize the data
  • Deploy and maintain deliverables
  • Prepare the data
  • Model the data
  • Analyze the data

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
Topic 1: Deploy and maintain deliverables10-15%- Configure refresh and security
- Share and distribute content
- Manage workspaces and datasets
Topic 2: Visualize the data20-25%- Apply filters, slicers, and formatting
- Create reports and dashboards
- Enrich reports for usability
Topic 3: Analyze the data10-15%- Apply AI visuals and insights
- Perform advanced analysis
- Identify patterns and trends
Topic 4: Prepare the data20-25%- Clean, transform, and load data
- Profile and examine data
- Get data from different sources
Topic 5: Model the data25-30%- Design and develop data models
- Create calculated tables and columns
- Create measures using DAX
- Optimize model performance

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