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: Sep 03, 2026
  • Q & A: 150 Questions and Answers
  • PDF Price: $69.99

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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)
  • Version: V17.65   Updated: Sep 03, 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)
  • Version: V17.65   Updated: Sep 03, 2026
  • Q & A: 150 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

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Analyzing Data with Microsoft Power BI Exam Certification Details:

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

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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.

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

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 Prepare the data

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

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

Microsoft DA-100日本語 Exam Syllabus Topics:

SectionWeightObjectives
Analyze the data10-15%- Analyze data patterns
  • 1. Use AI visuals and quick insights
    • 2. Identify trends and outliers
      - Perform advanced analytics
      • 1. Apply statistical measures in reports
        • 2. Use DAX time intelligence functions
          Deploy and maintain deliverables10-15%- Manage workspaces and datasets
          • 1. Configure dataset refresh schedules
            • 2. Publish reports to Power BI Service
              - Secure and share content
              • 1. Share dashboards with users and groups
                • 2. Implement row-level security (RLS)
                  Model the data25-30%- Create calculated columns and measures
                  • 1. Use DAX for calculations
                    • 2. Optimize model performance
                      - Design data models
                      • 1. Design star and snowflake schemas
                        • 2. Create relationships between tables
                          Prepare the data20-25%- Get data from data sources
                          • 1. Connect to data sources (files, databases, cloud services)
                            • 2. Select appropriate storage modes (Import, DirectQuery, Composite)
                              - Clean and transform data
                              • 1. Handle missing, duplicate, and inconsistent data
                                • 2. Use Power Query Editor for data shaping
                                  Visualize the data25-30%- Create reports
                                  • 1. Design interactive reports in Power BI Desktop
                                    • 2. Use visuals such as charts, maps, and tables
                                      - Enhance reports
                                      • 1. Apply filters, slicers, and drill-through
                                        • 2. Use bookmarks and navigation elements

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