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Updated: Sep 26, 2026

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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 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.
  • ‘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.
  • ‘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.
  • ‘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.

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

Microsoft DA-100日本語 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Analyzing Data with Microsoft Power BI
Exam Number:DA-100
Exam Price:USD 165
Related Certifications:Microsoft Certified: Data Analyst Associate
Exam Format:Build list, Multiple response, Case study, Drag and drop, Multiple choice
Available Languages:Spanish, English, Chinese (Traditional), Portuguese (Brazil), Chinese (Simplified), Italian, Arabic (Saudi Arabia), German, Japanese, French, Korean
Certificate Validity Period:Certification valid for one year, renewable
Passing Score:700
Exam Duration:120 minutes
Real Exam Qty:40-60
Sample Questions:Microsoft DA-100日本語 Sample Questions
Exam Way:Online (proctored) or Onsite at a Pearson VUE testing center
Pre Condition:Familiarity with data concepts and experience with data analysis
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/data-analyst-associate/

More about DA-100 Exam

This test focuses on technical domains such as structuring data, using DAX to create measures, making a data model, acquiring data from numerous sources, and preparing and analyzing data. Also, it checks one’s skills in interpreting reports, revealing data insights, forming dashboards, visualizing data, handling datasets, and lastly, incorporating and maintaining deliverables. The registration fee for DA-100 is $165. The test is available in numerous languages including Japanese, Chinese, Korean, and English. DA-100 can be taken at local physical centers or online under proctored conditions.

Exam Topics for Exam DA-100: Analyzing Data with Microsoft Power BI

The following will be discussed in MICROSOFT DA-100 practice exams and MICROSOFT DA-100 practice test:

  • Visualize the data
  • Deploy and maintain deliverables
  • Analyze the data
  • Prepare the data
  • Model the data

Exam DA-100: Analyzing Data with Microsoft Power BI

Data Analysts enable businesses to maximize the value of their data assets by using Microsoft Power BI. As a subject matter expert, Data Analysts are responsible for designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualizations. Data Analysts also collaborate with key stakeholders across verticals to deliver relevant insights based on identified business requirements.

The Data Analyst should have a fundamental understanding of data repositories and data processing both on-premises and in the cloud.

Part of the requirements for: Microsoft Certified: Data Analyst Associate

Download exam skills outline

Microsoft DA-100日本語 Exam Syllabus Topics:

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

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