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

DA-100日本語
  • Exam Code: DA-100J
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Updated: Sep 10, 2026
  • Q & A: 150 Questions and Answers

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About Microsoft DA-100日本語 Exam Questions

Certification Path

After acquiring the Microsoft Certified: Data Analyst Associate certification, you are competent to go further and broaden your expertise in the Microsoft BI platform. Although this certificate is not a direct requirement for other BI-related validations, it will sure help you get started with the higher-level certifications like the Microsoft Certified: Dynamics 365 + Power Platform Solution Architect Expert.

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4. Data Analysis (10-15%):

This section requires your skills in:

  • Caring out advanced analysis: This subject area covers your skills in identifying outliers, using binnings & groupings, conducting Time Series Analysis, and applying AI Insights. The students should also have competence in using decomposition tree visuals to dissect a measure and use Key Influencers for the exploration of dimensional variances.
  • Enhancing reports to expose insights: The candidates should have the expertise in personalizing visuals, applying filters & slicers and conditional formatting. They also need to demonstrate their skills in exploring statistical summary, creating reference lines with Analytics pane, and using Q&A visuals, among others.

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

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What career bonuses will you get after passing the Microsoft DA-100 exam?

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.

Career Opportunities and Pay

After getting through with DA-100 exam and earning the Microsoft Certified: Data Analyst Associate certification, you will be able to offer more for big business companies that need more analytical power that Excel cannot provide. This opens up multiple job opportunities with decent average annual salaries. Below are some of them as covered by Payscale:

  • Web Data Analyst: $67k.
  • IT Operation Analyst: $56k;
  • Data Analyst: $61k;

Microsoft DA-100日本語 Exam Syllabus Topics:

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

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