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Updated: Sep 17, 2026

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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.

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

Difficulty in Attempting Exam DA-100: Analyzing Data with Microsoft Power BI

However, if you would like to use different source data/tables in the same project, link them together and perform transformations on the data in Power BI as well, then the level of difficulty increases. Learning this will take of course more time. What we believe will also help is to get a general understanding of how data cleansing works and data integration in general. We offer MICROSOFT DA-100 practice exams and MICROSOFT DA-100 practice test for this purpose.

Analyzing Data with Microsoft Power BI Certification helps candidates in developing their professionals and academic career and it is a very tough task to pass Microsoft DA-100 exam for those candidates who have not done hard work and get some relevant Microsoft DA-100 exam preparation material. There are many peoples have passed Microsoft DA-100 exam by following these three things such as look for the latest Microsoft DA-100 exam dumps, get relevant MICROSOFT DA-100 exam dumps and develop their knowledge about Microsoft DA-100 exam new questions. At the same time, it can also stress out some people as they found passing Microsoft DA-100 exam a tough task. It is just a wrong assumption as many of the peoples have passed Microsoft DA-100 exam questions. All you have to do is to work hard, get some relevant Microsoft DA-100 exam preparation material and go thoroughly from them.

Compared to other visualization tools we would recommend that Power BI is quite user friendly and is relatively easy to learn. What also contributes to this is that the Power BI desktop version is available for free, resulting in a pretty large user base on the internet, which is beneficial to your learning curve, as in our experience answers to particular questions can be found easily most of the times.

Microsoft DA-100 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Analyzing Data with Microsoft Power BI
Exam Number:DA-100
Exam Format:Build list, Multiple response, Multiple choice, Drag and drop, Case study
Available Languages:Italian, Portuguese (Brazil), Korean, German, French, English, Arabic (Saudi Arabia), Spanish, Japanese, Chinese (Traditional), Chinese (Simplified)
Real Exam Qty:40-60
Exam Duration:120 minutes
Related Certifications:Microsoft Certified: Data Analyst Associate
Certificate Validity Period:Certification valid for one year, renewable
Passing Score:700
Exam Price:USD 165
Sample Questions:Microsoft DA-100 Sample Questions
Exam Way:Online (proctored) or Onsite at a Pearson VUE testing center
Pre Condition:Familiarity with data concepts and experience with data analysis
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/data-analyst-associate/

Microsoft DA-100 Exam Syllabus Topics:

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

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