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Microsoft Analyzing Data with Microsoft Power BI - DA-100 real prep

DA-100
  • Exam Code: DA-100
  • Exam Name: Analyzing Data with Microsoft Power BI
  • Updated: Aug 22, 2026
  • Q & A: 150 Questions and Answers
  • PDF Version

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  • PDF Price: $59.98
  • Microsoft DA-100 Value Pack

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  • PDF Version + PC Test Engine + Online Test Engine (free)
  • Value Pack Total: $79.98

About Microsoft DA-100: Analyzing Data with Microsoft Power BI

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What should you know about the Microsoft DA-100 exam before going for it?

The intended candidates for the Microsoft DA-100 exam are Data Analysts. These professionals help the organizations make the most of the value of data assets through the use of Microsoft Power BI. They also collaborate with the major stakeholders across the company to deliver the appropriate insights based on the recognized business prerequisites.

Microsoft DA-100 is an associate-level certification test, and as such, it does not have any official prerequisites. However, Microsoft recommends that the students have a good fundamental knowledge of data processing and data repositories both in Cloud and on-premises. The candidates for the exam should have the relevant skills in building and designing scalable data models, facilitating advanced analytic abilities, and transforming and cleaning data to provide significant business value through understandable data visualizations.

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Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Deploy and maintain deliverables

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

  • Configure and update a workspace app
  • Manage datasets
  • Configure incremental refresh settings
  • Providing access to datasets
  • Publish, import, or update assets in a workspace
  • Recommend a development lifecycle strategy
  • Assign workspace roles
  • Create and configure a workspace
  • Configure row-level security group membership
  • Promote or certify Power BI content
  • Configure a dataset scheduled refresh
  • Create and manage workspaces
  • Apply sensitivity labels to workspace content
  • Identify downstream dataset dependencies
  • Use deployment pipelines

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

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Microsoft DA-100 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Model the data25-30%- Create calculated columns and measures
  • 1. Use DAX for calculations
    • 2. Optimize model performance
      - Design data models
      • 1. Create relationships between tables
        • 2. Design star and snowflake schemas
          Topic 2: Prepare the data20-25%- Clean and transform data
          • 1. Handle missing, duplicate, and inconsistent data
            • 2. Use Power Query Editor for data shaping
              - Get data from data sources
              • 1. Select appropriate storage modes (Import, DirectQuery, Composite)
                • 2. Connect to data sources (files, databases, cloud services)
                  Topic 3: Visualize the data25-30%- Enhance reports
                  • 1. Use bookmarks and navigation elements
                    • 2. Apply filters, slicers, and drill-through
                      - Create reports
                      • 1. Use visuals such as charts, maps, and tables
                        • 2. Design interactive reports in Power BI Desktop
                          Topic 4: Analyze the data10-15%- Analyze data patterns
                          • 1. Use AI visuals and quick insights
                            • 2. Identify trends and outliers
                              - Perform advanced analytics
                              • 1. Use DAX time intelligence functions
                                • 2. Apply statistical measures in reports
                                  Topic 5: 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. Implement row-level security (RLS)
                                        • 2. Share dashboards with users and groups

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