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 01, 2026
  • Q & A: 150 Questions and Answers
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  • Exam Code: DA-100日本語
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This certification exam covers a range of skills that the applicants need to develop competency in before sitting for it. These skills are broken into topics and subtopics. Here are the highlights of the subject areas covered in Microsoft DA-100:

  • Maintain & Deploy Deliverables: 10-15%

    The applicants for the Microsoft DA-100 exam should also have competence in managing datasets. This involves configuring datasets scheduled refresh, certifying or promoting Power BI content, and providing access to the datasets. The learners also need to have the skills in creating and managing workspaces, creating and configuring workspaces, assigning workspace roles, and using deployment pipelines.

  • Model Data: 25-30%

    This topic equips the candidates with the skills and knowledge on how to design the data model. The questions from this subject area will measure their expertise in defining tables, quick measures, role-playing dimensions, cross-filter direction and relationship’s cardinality, and precise level of data granularity. It will also measure competence in the development of data models, creation of measures with the use of DAX, and optimization of model performance.

  • Visualize Data: 20-25%

    Within this domain, the examinees should possess the ability to create reports because the certification test will measure their capability to perform the technical tasks in this area. They will also need to demonstrate their skills in creating dashboards, including setting mobile view, using Q&A features, managing tiles on dashboards, and configuring data classification. The individuals should also be able to improve reports for usability. They will be required to demonstrate their skills in configuring bookmarks, applying to sort, creating custom tooltips, exporting report data, and configuring Sync Slicers.

  • Analyze Data: 10-15%

    This part will measure the competence of the students in improving reports to reveal insights. These include competence in applying conditional formatting, personalizing visuals, exploring statistical summary, and using Q&A visuals. It will also evaluate their skills in performing advanced analysis.

  • Prepare Data: 20-25%

    This section of the certification exam will evaluate the ability of the candidates to acquire data from various data sources. They also must be able to profile data, which includes identifying data anomalies and examining data structure. It also requires interrogating data statistics and column properties. In addition, the test takers should have competence in cleaning, transforming, and loading the data. This involves resolving inconsistencies, identifying the relevant keys for joins, combining queries, and resolving data import errors.

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

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DA-100日本語 pass review

For more info about Exam DA-100: Analyzing Data with Microsoft Power BI

Exam DA-100: Analyzing Data with Microsoft Power BI

Microsoft DA-100日本語 Exam Syllabus Topics:

SectionWeightObjectives
Deploy and maintain deliverables10-15%- Manage workspaces and datasets
  • 1. Publish reports to Power BI Service
    • 2. Configure dataset refresh schedules
      - Secure and share content
      • 1. Implement row-level security (RLS)
        • 2. Share dashboards with users and groups
          Visualize the data25-30%- Enhance reports
          • 1. Apply filters, slicers, and drill-through
            • 2. Use bookmarks and navigation elements
              - Create reports
              • 1. Design interactive reports in Power BI Desktop
                • 2. Use visuals such as charts, maps, and tables
                  Prepare the data20-25%- Clean and transform data
                  • 1. Handle missing, duplicate, and inconsistent data
                    • 2. Use Power Query Editor for data shaping
                      - Get data from data sources
                      • 1. Select appropriate storage modes (Import, DirectQuery, Composite)
                        • 2. Connect to data sources (files, databases, cloud services)
                          Analyze the data10-15%- Analyze data patterns
                          • 1. Identify trends and outliers
                            • 2. Use AI visuals and quick insights
                              - Perform advanced analytics
                              • 1. Use DAX time intelligence functions
                                • 2. Apply statistical measures in reports
                                  Model the data25-30%- Design data models
                                  • 1. Create relationships between tables
                                    • 2. Design star and snowflake schemas
                                      - Create calculated columns and measures
                                      • 1. Use DAX for calculations
                                        • 2. Optimize model performance
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