Microsoft Analyzing Data with Microsoft Power BI : DA-100

  • Exam Code: DA-100
  • Exam Name: Analyzing Data with Microsoft Power BI
  • Updated: Oct 01, 2026     Q & A: 150 Questions and Answers

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How to Prepare for Exam DA-100: Analyzing Data with Microsoft Power BI

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

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

Analyzing Data with Microsoft Power BI certification demonstrates your expertise in analyzing data with both Power BI. This certification is for data analysts who are responsible for designing and building scalable data models, cleaning, transforming, and analyzing data. The exam includes questions about Data preparation, tools, queries and tables, visualization types and support, dashboards creation. Data Analysts also collaborate with IT and business teams to ensure that data analysis is providing business value.

Pass4guide offers detailed exam dumps and MICROSOFT DA-100 practice exams and MICROSOFT DA-100 practice test to prepare candidates, who are going to be data analysts in the future, to prepare and pass this exam in the first go.

Exam DA-100: Analyzing Data with Microsoft Power BI will allow you to learn:

  • Perform Quick Data Analysis with Power BI

With the help of Power BI, you can collect your company's data, whether it's located in the cloud or locally, and provides quick and easy access to this data - all without having to ask any human being for help.

  • Generate Accurate Interactive reporting

Your customers can see all data on one screen and the Power BI Mobile apps are automatically updated with changes to your data so you can access updated data and reports, no matter where you are.

  • Financial overview

Companies of a certain size can benefit from Power BI's analytical reporting features and the ability to access their data across multiple devices.

  • How Power BI is user friendly

With the help of Power BI innovative tools, you can easily find out what data you want to see and how the results will look like. The tool allows you to switch between different formats in order to give you a more visual representation of your data. Power BI can also connect to a wide variety of databases and information sources, including cloud-based sources such as Azure SQL Database, Oracle, Salesforce.com, Amazon Redshift, Dropbox Business, Google Analytics Premium, and Tableau Online.

  • Power BI Data Visualization

Power BI makes productive and creative. You no longer need to go through complex processes without leaving the Power BI interface. The benefit of this process is that you can, as a company, focus on the data and actions of your customers rather than creating lengthy reports and documents to satisfy them. It combines data from multiple sources into a single, standardized, format.

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Requirements

The Microsoft DA-100: Analyzing Data with Microsoft Power BI test does not have any official prerequisite. However, the applicants must understand the content of the exam topics. They also need to have fundamental knowledge of data processing and data repositories in Cloud and on-premises.

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: 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. Share dashboards with users and groups
        • 2. Implement row-level security (RLS)
          Topic 2: Model the data25-30%- Design data models
          • 1. Design star and snowflake schemas
            • 2. Create relationships between tables
              - Create calculated columns and measures
              • 1. Optimize model performance
                • 2. Use DAX for calculations
                  Topic 3: Analyze the data10-15%- Analyze data patterns
                  • 1. Identify trends and outliers
                    • 2. Use AI visuals and quick insights
                      - Perform advanced analytics
                      • 1. Apply statistical measures in reports
                        • 2. Use DAX time intelligence functions
                          Topic 4: 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
                                  Topic 5: 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. Use bookmarks and navigation elements
                                        • 2. Apply filters, slicers, and drill-through

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