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

DA-100日本語 Exam Simulator
  • Exam Code: DA-100J
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Updated: Sep 13, 2026
  • Q & A: 150 Questions and Answers

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Microsoft DA-100日本語 exam simulator

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

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

  • Identify and connect to a data source
  • Evaluate and transform column data types
  • Use or create a PBIDS file
  • Identify and create appropriate keys for joins
  • Apply user-friendly value replacements
  • Use parameters
  • Combine queries
  • Change data source settings
  • Leverage Advanced Editor to modify Power Query M code
  • Use or create a data flow
  • Apply user-friendly naming conventions to columns and queries
  • Interrogate data statistics
  • Examine data structures
  • Select a shared dataset or create a local dataset
  • Use Microsoft Dataverse
  • Identify data anomalies
  • Resolve inconsistencies, unexpected or null values, and data quality issues
  • Configure data loading
  • Apply data shape transformations to table structures
  • Interrogate column properties
  • Select a storage mode
  • Identify query performance issues
  • Resolve data import errors
  • Choose an appropriate query type

What is the cost of Exam DA-100: Analyzing Data with Microsoft Power BI

The cost of Exam DA-100: Analyzing Data with Microsoft Power BI is $165.

  • Number of Questions: 40
  • Format: Multiple choices, multiple answers
  • Passing Score: 70%
  • Length of Examination: 90 minutes

4. Data Analysis (10-15%):

This section requires your skills in:

  • Enhancing reports to expose insights: The candidates should have the expertise in personalizing visuals, applying filters & slicers and conditional formatting. They also need to demonstrate their skills in exploring statistical summary, creating reference lines with Analytics pane, and using Q&A visuals, among others.
  • Caring out advanced analysis: This subject area covers your skills in identifying outliers, using binnings & groupings, conducting Time Series Analysis, and applying AI Insights. The students should also have competence in using decomposition tree visuals to dissect a measure and use Key Influencers for the exploration of dimensional variances.

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

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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.

Microsoft DA-100日本語 Exam Syllabus Topics:

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

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