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Microsoft DA-100日本語

DA-100日本語

Exam Code: DA-100J

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

Updated: Jul 25, 2026

Q&A Number: 150 Q&As

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About Microsoft DA-100日本語 Exam Questions and Answers

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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Difficulty in Attempting Exam DA-100: Analyzing Data with Microsoft Power BI

However, if you would like to use different source data/tables in the same project, link them together and perform transformations on the data in Power BI as well, then the level of difficulty increases. Learning this will take of course more time. What we believe will also help is to get a general understanding of how data cleansing works and data integration in general. We offer MICROSOFT DA-100 practice exams and MICROSOFT DA-100 practice test for this purpose.

Analyzing Data with Microsoft Power BI Certification helps candidates in developing their professionals and academic career and it is a very tough task to pass Microsoft DA-100 exam for those candidates who have not done hard work and get some relevant Microsoft DA-100 exam preparation material. There are many peoples have passed Microsoft DA-100 exam by following these three things such as look for the latest Microsoft DA-100 exam dumps, get relevant MICROSOFT DA-100 exam dumps and develop their knowledge about Microsoft DA-100 exam new questions. At the same time, it can also stress out some people as they found passing Microsoft DA-100 exam a tough task. It is just a wrong assumption as many of the peoples have passed Microsoft DA-100 exam questions. All you have to do is to work hard, get some relevant Microsoft DA-100 exam preparation material and go thoroughly from them.

Compared to other visualization tools we would recommend that Power BI is quite user friendly and is relatively easy to learn. What also contributes to this is that the Power BI desktop version is available for free, resulting in a pretty large user base on the internet, which is beneficial to your learning curve, as in our experience answers to particular questions can be found easily most of the times.

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

Analyzing Data with Microsoft Power BI Exam Certification Details:

Exam Price$165 (USD)
Sample QuestionsAnalyzing Data with Microsoft Power BI Sample Questions
Passing Score700 / 1000
Number of Questions40-60
Schedule ExamPearson VUE
Books / TrainingDA-100T00-A: Analyzing Data with Power BI
Exam CodeDA-100
Exam NameMicrosoft Certified - Data Analyst Associate
Duration180 mins

Microsoft DA-100日本語 Exam Syllabus Topics:

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

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