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Last Updated: Nov 07, 2026

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

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

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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.

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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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About Data Analyst Associate and Who It Is Intended for

The Microsoft Certified: Data Analyst Associate is earned by passing DA-100 and is a role-based intermediate-level certification that falls under the Microsoft Power Platform certification hierarchy and authenticates the data analyst's expertise in utilizing Microsoft Power BI in maximizing the businesses' data assets value. The earner of this certificate will be competent to design and develop scalable data models along with cleaning and transformation of data to provide business values through data visualizations. Overall, this certification will be beneficial for data analysts in broadening their technological prowess and the values that they provide for businesses.

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

What is the cost of Exam DA-100: Analyzing Data with Microsoft Power BI

The cost of Exam DA-100: Analyzing Data with Microsoft Power BI is $165.

  • Passing Score: 70%
  • Number of Questions: 40
  • Length of Examination: 90 minutes
  • Format: Multiple choices, multiple answers

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Microsoft DA-100 Exam Syllabus Topics:

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