Exam Code: DA-100-Deutsch
Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
Updated: Aug 29, 2026
Q & A: 150 Questions and Answers
DA-100 Deutsch Free Demo download
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.
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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:
Exam DA-100: Analyzing Data with Microsoft Power BI
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deploy and maintain deliverables | 10-15% | - Share and distribute content - Configure refresh and security - Manage workspaces and datasets |
| Topic 2: Analyze the data | 10-15% | - Apply AI visuals and insights - Perform advanced analysis - Identify patterns and trends |
| Topic 3: Prepare the data | 20-25% | - Profile and examine data - Get data from different sources - Clean, transform, and load data |
| Topic 4: Visualize the data | 20-25% | - Enrich reports for usability - Create reports and dashboards - Apply filters, slicers, and formatting |
| Topic 5: Model the data | 25-30% | - Design and develop data models - Create calculated tables and columns - Optimize model performance - Create measures using DAX |
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