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Exam Topics for Exam DA-100: Analyzing Data with Microsoft Power BI

The following will be discussed in MICROSOFT DA-100 practice exams and MICROSOFT DA-100 practice test:

  • Prepare the data
  • Model the data
  • Analyze the data
  • Deploy and maintain deliverables
  • Visualize the data

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

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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.

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Microsoft DA-100 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Visualize the data25-30%- Enhance reports
  • 1. Apply filters, slicers, and drill-through
    • 2. Use bookmarks and navigation elements
      - Create reports
      • 1. Design interactive reports in Power BI Desktop
        • 2. Use visuals such as charts, maps, and tables
          Topic 2: 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 3: 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. Use Power Query Editor for data shaping
                        • 2. Handle missing, duplicate, and inconsistent data
                          Topic 4: 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
                                  Topic 5: Deploy and maintain deliverables10-15%- Manage workspaces and datasets
                                  • 1. Publish reports to Power BI Service
                                    • 2. Configure dataset refresh schedules
                                      - Secure and share content
                                      • 1. Implement row-level security (RLS)
                                        • 2. Share dashboards with users and groups

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