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Certification Opportunities
Upon completion of this single exam and obtaining the certification, the path doesn’t end. The candidates can pursue other Microsoft certificates to expand their competence area. These include the options such as Microsoft Certified: Azure Data Engineer Associate and Microsoft Certified: Azure Data Scientist Associate, to name a few.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
4. Data Analysis (10-15%):
This section requires your skills in:
- Caring out advanced analysis: This subject area covers your skills in identifying outliers, using binnings & groupings, conducting Time Series Analysis, and applying AI Insights. The students should also have competence in using decomposition tree visuals to dissect a measure and use Key Influencers for the exploration of dimensional variances.
- Enhancing reports to expose insights: The candidates should have the expertise in personalizing visuals, applying filters & slicers and conditional formatting. They also need to demonstrate their skills in exploring statistical summary, creating reference lines with Analytics pane, and using Q&A visuals, among others.
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Microsoft DA-100 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prepare the data | 20% | - Transform and load the data
|
| Topic 2: Visualize the data | 25% | - Create dashboards
|
| Topic 3: Deploy and maintain deliverables | 10% | - Manage datasets
|
| Topic 4: Model the data | 30% | - Design a data model
|
| Topic 5: Analyze the data | 15% | - Perform advanced analysis
|




