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

DA-100日本語 testking pdf

Exam Code: DA-100J

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

Updated: Aug 05, 2026

Q & A: 150 Questions and Answers

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

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

The topics for this part are the following:

  • 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.
  • 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.

Ideal Audience and Required Skills

DA-100 is intended for data analysts who use MS Power BI to enhance the value of the data their organization holds. These professionals are responsible for polishing and transforming data, creating expandable data models, and performing data visualizations that can be interpreted and analyzed to withdraw critical information. Data analysts also work alongside other stakeholders of the business to provide relevant data according to their company’s requirements. Thus, a strong prior understanding of both cloud & on-premises data processing and data repositories is also required by those specialists who are going to take test DA-100.

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

Exam Details

Microsoft DA-100 is an associate-level certification exam, which means that irrespective of your current hands-on experience in the subject area, you can still work towards passing this test and obtaining the certificate. All you need is a thorough understanding of the exam topics and diligent preparation.

The DA-100 exam contains 40-60 questions, covering different types, such as case studies, multiple choice, drag and drop, active screen, and build list, among others. This test can be scheduled using Pearson VUE, the official administrator of the Microsoft certification exams. When you are ready to register for this test, you have to pay the fee of $165. This applies to a single sitting for the exam. If you do not get the required passing score that is 720 points, you must pay a new fee to retake the test.

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Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Model the data

The following will be discussed in MICROSOFT DA-100 exam dumps:

  • Design a data model
  • Create a common date table
  • Create and manage aggregations
  • Create semi-additive measures
  • Improve cardinality levels by changing data types
  • Define quick measures
  • Develop a data model
  • Implement row-level security roles
  • Implement Time Intelligence using DAX
  • Design the data model to meet performance requirements
  • Use CALCULATE to manipulate filters
  • Create measures by using DAX
  • Define a relationship's cardinality and cross-filter direction
  • Apply cross-filter direction and security filtering
  • Set up the Q&A feature
  • Configure table and column properties
  • Define the tables
  • Create calculated tables
  • Define the appropriate level of data granularity
  • Create calculated columns
  • Resolve many-to-many relationships
  • Optimize model performance
  • Remove unnecessary rows and columns
  • Define role-playing dimensions
  • Flatten out a parent-child hierarchy
  • Replace numeric columns with measures
  • Improve cardinality levels through summarization
  • Use basic statistical functions to enhance data
  • Create hierarchies
  • Use DAX to build complex measures
  • Identify poorly performing measures, relationships, and visuals

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Microsoft DA-100日本語 Exam Syllabus Topics:

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

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