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Microsoft DA-100日本語 Exam Braindumps - in .pdf Free Demo

  • Exam Code: DA-100J
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Last Updated: Aug 04, 2026
  • Q & A: 150 Questions and Answers
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  • Exam Code: DA-100J
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Last Updated: Aug 04, 2026
  • Q & A: 150 Questions and Answers
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Ideal Audience and Required Skills

DA-100 is intended for data analysts who use MS Power BI to enhance the value of the data their organization holds. These professionals are responsible for polishing and transforming data, creating expandable data models, and performing data visualizations that can be interpreted and analyzed to withdraw critical information. Data analysts also work alongside other stakeholders of the business to provide relevant data according to their company’s requirements. Thus, a strong prior understanding of both cloud & on-premises data processing and data repositories is also required by those specialists who are going to take test DA-100.

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

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

  • Create calculated columns
  • Improve cardinality levels through summarization
  • Replace numeric columns with measures
  • Create and manage aggregations
  • Create measures by using DAX
  • Improve cardinality levels by changing data types
  • Use basic statistical functions to enhance data
  • Set up the Q&A feature
  • Design a data model
  • Define a relationship's cardinality and cross-filter direction
  • Create calculated tables
  • Optimize model performance
  • Define the appropriate level of data granularity
  • Design the data model to meet performance requirements
  • Develop a data model
  • Implement row-level security roles
  • Use DAX to build complex measures
  • Create a common date table
  • Flatten out a parent-child hierarchy
  • Identify poorly performing measures, relationships, and visuals
  • Remove unnecessary rows and columns
  • Use CALCULATE to manipulate filters
  • Define quick measures
  • Create hierarchies
  • Configure table and column properties
  • Resolve many-to-many relationships
  • Apply cross-filter direction and security filtering
  • Define role-playing dimensions
  • Implement Time Intelligence using DAX
  • Create semi-additive measures
  • Define the tables

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DA-100日本語 exam dumps

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

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

Microsoft DA-100日本語 Exam Syllabus Topics:

SectionWeightObjectives
Analyze the data10-15%- Perform advanced analysis
- Apply AI visuals and insights
- Identify patterns and trends
Model the data25-30%- Design and develop data models
- Optimize model performance
- Create measures using DAX
- Create calculated tables and columns
Deploy and maintain deliverables10-15%- Configure refresh and security
- Share and distribute content
- Manage workspaces and datasets
Visualize the data20-25%- Apply filters, slicers, and formatting
- Create reports and dashboards
- Enrich reports for usability
Prepare the data20-25%- Profile and examine data
- Clean, transform, and load data
- Get data from different sources

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