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Topics of Microsoft DP-900: Microsoft Azure Data Fundamentals Exam
- Describe how to work with relational data on Azure (25-30%)
- Describe how to work with non-relational data on Azure (25-30%)
- Describe an analytics workload on Azure (25-30%)
- Describe core data concepts (15-20%)
What Are the Exam Topics?
Core data concepts
This topic majorly addresses the following skills:
- Various data workloads – this involves an overview of the features of relational data as well as the description, similarities and differences between streaming data and batch data as well as.
- Main concepts of data analytics – data visualization, business intelligence (BI), analytics techniques (diagnostic, predictive, descriptive, cognitive, prescriptive) and basic chart types such as pie charts and bar charts are the main concepts addressed in this category. Also, data processing techniques are covered along with ETL processing.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Microsoft DP-900 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Identify considerations for relational data on Azure | 20–25% | - Describe relational data concepts
|
| Describe an analytics workload on Azure | 25–30% | - Describe real-time analytics
|
| Describe core data concepts | 25–30% | - Describe roles and responsibilities
|
| Describe considerations for working with non-relational data on Azure | 15–20% | - Describe Azure Cosmos DB
|







