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Microsoft DA-100

DA-100

Exam Code: DA-100

Exam Name: Analyzing Data with Microsoft Power BI

Updated: Nov 09, 2026

Q & A: 150 Questions and Answers

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About Microsoft DA-100 Exam

3. Data Visualization (20-25%):

Here the candidates have to show their knowledge of:

  • Creating reports: The examinees must be able to demonstrate their skills in importing custom visuals, configuring and formatting visualization, designing and configuring accessibility, and configuring automatic page refresh. This topic also requires competence in applying filtering and slicing, selecting suitable visualization types, and including visualization items in reports.
  • Creating dashboards:This domain will measure the individuals’ skills in managing tiles within a dashboard, setting mobile view, adding dashboard themes, configuring data classification, configuring data alerts, and using Q&A features.
  • Enriching reports for Usage: This area requires that the test takers develop competence in configuring bookmarks, creating custom tooltips, configuring Sync Slicers, and navigation for reports. It also covers their skills in exporting report data, utilizing selection pane, drill-through & cross filter.

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:

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

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This certification exam covers a range of skills that the applicants need to develop competency in before sitting for it. These skills are broken into topics and subtopics. Here are the highlights of the subject areas covered in Microsoft DA-100:

  • Visualize Data: 20-25%

    Within this domain, the examinees should possess the ability to create reports because the certification test will measure their capability to perform the technical tasks in this area. They will also need to demonstrate their skills in creating dashboards, including setting mobile view, using Q&A features, managing tiles on dashboards, and configuring data classification. The individuals should also be able to improve reports for usability. They will be required to demonstrate their skills in configuring bookmarks, applying to sort, creating custom tooltips, exporting report data, and configuring Sync Slicers.

  • Maintain & Deploy Deliverables: 10-15%

    The applicants for the Microsoft DA-100 exam should also have competence in managing datasets. This involves configuring datasets scheduled refresh, certifying or promoting Power BI content, and providing access to the datasets. The learners also need to have the skills in creating and managing workspaces, creating and configuring workspaces, assigning workspace roles, and using deployment pipelines.

  • Prepare Data: 20-25%

    This section of the certification exam will evaluate the ability of the candidates to acquire data from various data sources. They also must be able to profile data, which includes identifying data anomalies and examining data structure. It also requires interrogating data statistics and column properties. In addition, the test takers should have competence in cleaning, transforming, and loading the data. This involves resolving inconsistencies, identifying the relevant keys for joins, combining queries, and resolving data import errors.

  • Analyze Data: 10-15%

    This part will measure the competence of the students in improving reports to reveal insights. These include competence in applying conditional formatting, personalizing visuals, exploring statistical summary, and using Q&A visuals. It will also evaluate their skills in performing advanced analysis.

  • Model Data: 25-30%

    This topic equips the candidates with the skills and knowledge on how to design the data model. The questions from this subject area will measure their expertise in defining tables, quick measures, role-playing dimensions, cross-filter direction and relationship’s cardinality, and precise level of data granularity. It will also measure competence in the development of data models, creation of measures with the use of DAX, and optimization of model performance.

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How to Register For Exam DA-100: Analyzing Data with Microsoft Power BI?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=DA-100&examname=Exam%20DA-100:%20Analyzing%20Data%20with%20Microsoft%20Power%20BI&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fda-100

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

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DA-100 exam dumps

Microsoft DA-100 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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 2: 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 3: Visualize the data25-30%- Enhance reports
                  • 1. Use bookmarks and navigation elements
                    • 2. Apply filters, slicers, and drill-through
                      - Create reports
                      • 1. Design interactive reports in Power BI Desktop
                        • 2. Use visuals such as charts, maps, and tables
                          Topic 4: Deploy and maintain deliverables10-15%- Secure and share content
                          • 1. Implement row-level security (RLS)
                            • 2. Share dashboards with users and groups
                              - Manage workspaces and datasets
                              • 1. Publish reports to Power BI Service
                                • 2. Configure dataset refresh schedules
                                  Topic 5: Analyze the data10-15%- Perform advanced analytics
                                  • 1. Apply statistical measures in reports
                                    • 2. Use DAX time intelligence functions
                                      - Analyze data patterns
                                      • 1. Use AI visuals and quick insights
                                        • 2. Identify trends and outliers

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