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Microsoft DA-100 : Analyzing Data with Microsoft Power BI

DA-100

Exam Code: DA-100

Exam Name: Analyzing Data with Microsoft Power BI

Updated: Oct 17, 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.

BraindumpStudy 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.

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.

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

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Microsoft DA-100 Exam Syllabus Topics:

SectionWeightObjectives
Visualize the data25%- Enforce accessibility
  • 1. Configure tab order
  • 2. Use accessibility features
  • 3. Design accessible reports
- Create dashboards
  • 1. Configure data alerts
  • 2. Use the Q&A feature
  • 3. Set mobile view
  • 4. Manage tiles on a dashboard
- Create reports
  • 1. Create and manage bookmarks
  • 2. Format and configure visualizations
  • 3. Configure conditional formatting
  • 4. Import a custom visual
  • 5. Apply slicing and filtering
  • 6. Add visualization items to reports
  • 7. Choose an appropriate visualization type
Analyze the data15%- Enhance reports for usability and storytelling
  • 1. Configure bookmarks
  • 2. Configure navigation for a report
  • 3. Edit and configure interactions between visuals
  • 4. Configure sync slicers
  • 5. Create custom tooltips
  • 6. Apply sorting
  • 7. Group and layer visuals
- Perform advanced analysis
  • 1. Use advanced analytical custom visuals
  • 2. Identify outliers
  • 3. Use the Analyze feature
  • 4. Perform What-if analysis
Deploy and maintain deliverables10%- Manage datasets
  • 1. Provide access to datasets
  • 2. Configure a dataset scheduled refresh
  • 3. Configure row-level security group membership
  • 4. Configure cross-workspace sharing
- Create and manage workspaces
  • 1. Create and configure a workspace
  • 2. Assign workspace roles
  • 3. Configure and update a workspace app
Model the data30%- Optimize model performance
  • 1. Improve performance by identifying and removing unnecessary rows and columns
  • 2. Improve performance by choosing optimal data types
  • 3. Optimize Power Query transformations
- Create measures by using DAX
  • 1. Use DAX aggregation functions
  • 2. Create calculated measures
  • 3. Create semi-additive measures
  • 4. Implement Time Intelligence using DAX
  • 5. Use DAX logical functions
- Design a data model
  • 1. Define a relationship's cross-filter direction and security filtering
  • 2. Define quick measures
  • 3. Configure table and column properties
  • 4. Design and implement role-playing dimensions
  • 5. Define the tables
- Develop a data model
  • 1. Create calculated columns
  • 2. Create calculated tables
  • 3. Create hierarchies
  • 4. Implement row-level security roles
Prepare the data20%- Profile the data
  • 1. Examine data structures
  • 2. Interpret data distribution and variance
  • 3. Identify data anomalies
- Clean the data
  • 1. Resolve inconsistencies, unexpected or null values, and data quality issues
  • 2. Evaluate data, including data statistics and column properties
  • 3. Resolve data import errors
- Transform and load the data
  • 1. Define relationship cardinality and cross-filter direction
  • 2. Design a star schema
  • 3. Create and transform columns
  • 4. Select appropriate column data types
  • 5. Create and transform tables
- Get data from different data sources
  • 1. Select a shared dataset or create a local dataset
  • 2. Change data source settings
  • 3. Identify and connect to a data source
  • 4. Choose an appropriate Power BI data source
  • 5. Select a storage mode

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