Last Updated: Aug 28, 2026
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The candidates can explore various resources to prepare for the Microsoft DA-100 exam. The Microsoft Learning Platform offers many study tools that the learners can use to achieve success in their test. The first step in the preparation process is to go over the detailed exam topics. After that, you can choose your resources carefully. Here are the official recommended materials for the DA-100 test:
The applicants who prefer self-paced study can explore the learning paths for the Microsoft DA-100 exam. There are six learning paths for this certification test, including Getting Started with Microsoft Data Analytics, Prepare Data for Analysis, Model Data in Power BI, and Visualize Data in Power BI, among others. Each path contains different modules that address particular topics of the exam.
Microsoft also offers the official practice test for Microsoft DA-100. The exam questions cover all the objectives of the actual test. This means that you will be well prepared for any questions that may be administered in the exam.
Microsoft recommends the Analyzing Data with Power BI training course for the candidates taking the DA-100 test. This training focuses on different best practices and methods associated with the technical and business requirements for visualizing, analyzing, and modeling data with Power BI. The individuals will learn how to process and access data from different data sources, including non-relational and relational data.
The recommended book resource for this test is Exam Ref: DA-100 Analyzing Data with Microsoft Power BI by Daniil Maslyuk. This is a professional-level resource to help the learners optimize their performance in the test and improve their skills. The book can be found on the Microsoft Press Store.
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Those preparing for DA-100 test can incorporate the following books from Amazon in their learning process to ensure they pass the exam with high scores:
After getting through with DA-100 exam and earning the Microsoft Certified: Data Analyst Associate certification, you will be able to offer more for big business companies that need more analytical power that Excel cannot provide. This opens up multiple job opportunities with decent average annual salaries. Below are some of them as covered by Payscale:
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
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The following will be discussed in MICROSOFT DA-100 exam dumps:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analyze the data | 10-15% | - Apply AI visuals and insights - Perform advanced analysis - Identify patterns and trends |
| Topic 2: Visualize the data | 20-25% | - Create reports and dashboards - Apply filters, slicers, and formatting - Enrich reports for usability |
| Topic 3: Prepare the data | 20-25% | - Get data from different sources - Profile and examine data - Clean, transform, and load data |
| Topic 4: Model the data | 25-30% | - Optimize model performance - Design and develop data models - Create calculated tables and columns - Create measures using DAX |
| Topic 5: Deploy and maintain deliverables | 10-15% | - Manage workspaces and datasets - Share and distribute content - Configure refresh and security |
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