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

DA-100日本語 pass collection

Exam Code: DA-100J

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

Updated: Oct 17, 2026

Q & A: 150 Questions and Answers

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5. Deliverables Deployment and Maintenance (10-15%):

The topics for this part are the following:

  • Datasets management: In the framework of this subtopic, the applicants will be evaluated based on their skills in configuring incremental refresh settings, dataset scheduled refresh, and group membership for row-level security. It will also measure their skills in providing access to the datasets and certifying or promoting Power BI content.
  • Workspaces creation and management: The test takers must have competence in assigning workspace roles, using deployment pipeline, updating and configuring workspace apps, and applying sensitivity labels for workspace content. It also requires their skills in importing, updating, and publishing assets in workspaces, as well as recommending the development lifecycle strategy.

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

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Useful Training Courses to Pass DA-100

To help candidates prepare fully and achieve the best possible result in DA-100, Microsoft provides an official four-day instructor-led training named ‘Course DA-100T00-A: Analyzing Data with Power BI’. It has 13 modules, each focusing on a different area that will be assessed in the exam. Along with each section, there are lab exercises that give candidates the opportunity to apply what they learnt during the sessions. After completing this training, the applicants will be able to analyze technical reports, use Power BI to make paginated reports, handle & distribute report assets, and draw up reports for data analysis. Also, they will be able to effectively enhance, polish, transform, and structure data in a way that facilitates the performance of the business.

However, not everyone can participate in this program as there are certain prerequisites. For instance, learners must be acquainted with the concepts of working with data in the cloud, know how to interact with non-relational and relational data in the cloud, be familiar with the virtualization basics, and finally, understand how to carry out data analysis. If a candidate is missing these necessary requirements, then they can obtain them by first going through the ‘Microsoft Azure Data Fundamentals’ training course and then enrolling in this one.

Moreover, note that the vendor also provides six learning paths for self-study. They are completely free and can be a good first step in your revision for the exam. These modules cover different data analysis areas, such as the use of Power BI, visualization, workspaces’ management, and many more.

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Microsoft DA-100日本語 Exam Syllabus Topics:

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

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