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Exam Code: DA-100
Exam Name: Analyzing Data with Microsoft Power BI
Updated: Aug 31, 2026
Q & A: 150 Questions and Answers
DA-100 Free Demo download
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The Microsoft Certified: Data Analyst Associate certificate will help secure a career as a data analyst, which will come with it a high paycheck and different career opportunities. However, achieving this certification won’t be easy as one needs to overcome DA-100 (Analyzing Data with Microsoft Power BI) exam. But, with a huge number of study guides available on Amazon and the official MS training course, passing this test is going to be that much easier.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
The potential candidates for the Microsoft DA-100 exam are Data Analysts. These professionals have the responsibility of enabling organizations to optimize their data asset values through the use of Microsoft Power BI. They also have the job responsibility of building and designing scalable data models, facilitating advanced analytics capacities, and transforming and cleaning data. These duties are aimed to offer significant business values through easy-to-understand data visualization. The Data Analysts also partner with the major stakeholders to deliver significant insights according to the identified business prerequisites.
| Section | Weight | Objectives |
|---|---|---|
| Prepare the data | 20-25% | - Profile and examine data - Get data from different sources - Clean, transform, and load data |
| Analyze the data | 10-15% | - Perform advanced analysis - Apply AI visuals and insights - Identify patterns and trends |
| Visualize the data | 20-25% | - Create reports and dashboards - Apply filters, slicers, and formatting - Enrich reports for usability |
| Deploy and maintain deliverables | 10-15% | - Configure refresh and security - Manage workspaces and datasets - Share and distribute content |
| Model the data | 25-30% | - Create measures using DAX - Optimize model performance - Create calculated tables and columns - Design and develop data models |
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