Microsoft DA-100日本語 dumps - in .pdf

DA-100日本語 pdf
  • Exam Code: DA-100日本語
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Updated: Nov 10, 2026
  • Q & A: 150 Questions and Answers
  • PDF Price: $69.99
  • Free Demo

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  • Exam Code: DA-100日本語
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Updated: Nov 10, 2026
  • Q & A: 150 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $139.98  $89.99
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Microsoft DA-100日本語 dumps - Testing Engine

DA-100日本語 Testing Engine
  • Exam Code: DA-100日本語
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Updated: Nov 10, 2026
  • Q & A: 150 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

About Microsoft DA-100日本語 Exam Braindumps

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.

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

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

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

  • Use the Q&A visual
  • Apply slicers and filters
  • Use groupings and binnings
  • Identify outliers
  • Apply conditional formatting
  • Perform advanced analysis
  • Perform top N analysis
  • Enhance reports to expose insights
  • Apply AI Insights
  • Use the Key Influencers to explore dimensional variances
  • Add a Quick Insights result to a report
  • Use the Play Axis feature of a visualization
  • Conduct Time Series analysis
  • Use the decomposition tree visual to break down a measure
  • Create reference lines by using Analytics pane
  • Personalize visuals
  • Explore statistical summary

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Microsoft DA-100日本語 Exam Syllabus Topics:

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

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