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

DA-100日本語 actual test
  • Exam Code: DA-100J
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Updated: Jul 21, 2026
  • Q & A: 150 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $69.99  

About Microsoft DA-100日本語 Exam

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Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Deploy and maintain deliverables

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

  • Create and manage workspaces
  • Providing access to datasets
  • Apply sensitivity labels to workspace content
  • Configure row-level security group membership
  • Configure incremental refresh settings
  • Manage datasets
  • Use deployment pipelines
  • Create and configure a workspace
  • Configure and update a workspace app
  • Configure a dataset scheduled refresh
  • Promote or certify Power BI content
  • Assign workspace roles
  • Identify downstream dataset dependencies
  • Recommend a development lifecycle strategy
  • Publish, import, or update assets in a workspace

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

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Useful Books to Pass DA-100

Those preparing for DA-100 test can incorporate the following books from Amazon in their learning process to ensure they pass the exam with high scores:

  • ‘Exam DA-100: Data Analyst Associate 25 Test Prep Questions Version II’ by Ger Arevalo. This guide can act as supplementary material when going through hands-on practice, labs, and classes for DA-100. The intent of this book is to reinforce what you learn, and it is also a good last-minute tool that can help students identify their level of readiness. It will help candidates acquire competencies that will be beneficial when working out in the real world.
  • ‘Exam Ref DA-100 Analyzing Data with Microsoft Power BI 1st Edition’ by Daniil Maslyuk. This is the official book issued by Microsoft for its DA-100 test. The guidance offered in this paperback aims to help candidates acquire all the right skills needed for the exam so they will be able to achieve a high score. The book puts great emphasis on real-world issues and problems so the readers will know what to expect when working in the job role of a data analyst. It provides complete coverage of all the tested objectives, and this content is extremely detailed. The material also includes various ‘what if’ scenarios to encourage critical thinking in students and prepare them for the more challenging exam questions.
  • ‘Learn How to Pass DA-100: Analyzing Data with Microsoft Power BI Exam’. Prepared by Rodrezil Publications, this book compiles advice and tips from candidates who have already passed DA-100 exam and hence offers invaluable first-hand experiences. It also provides the readers with advice from IT experts who know all the ins and outs of the test and know how to deliver this knowledge in an easy-to-understand manner. The goal of this Kindle e-book is to help applicants get over the fear of the exam and pass it on their very first attempt. The material also comes with coupon codes that students can use to take free DA-100 mock tests at Vullam for better preparation and prior self-assessment.
  • ‘Secrets of DA-100 Analyzing Data with Microsoft Power BI’ by Nikhil J. This Kindle e-book is packed with numerous up-to-date questions & answers for the Microsoft DA-100 exam in order to help students score better. By going through this material, the applicants will assess themselves and will understand how well they can apply all the things they learnt in theory. The e-book has a good track record of helping individuals achieve success in DA-100 test.

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Requirements

The Microsoft DA-100: Analyzing Data with Microsoft Power BI test does not have any official prerequisite. However, the applicants must understand the content of the exam topics. They also need to have fundamental knowledge of data processing and data repositories in Cloud and on-premises.

Do you meet a lion on the way when passing DA-100日本語 exam as you want to gain the Microsoft Microsoft Certified: Data Analyst Associate and be a leader in IT field? If you really want to pass Analyzing Data with Microsoft Power BI (DA-100日本語版) exam as soon as possible, TestPassed DA-100日本語 test dump will be your best helper. We are a strong company selling all test passed dumps of all IT certifications examinations published by almost all largest companies. We are the leading position in this area because of our very accurate DA-100日本語 test dump, high passing rate and good pass score. We devote ourselves to providing the best test questions and golden customer service.

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.

Microsoft DA-100日本語 Exam Syllabus Topics:

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

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