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Skills measured
- Describe core data concepts (15-20%)
- 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%)
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
More about DP-900 Exam
In brief, DP-900 test focuses on exam objectives like interacting with relational data on Azure, handling analytics workload on Azure, dealing with non-relational data on Azure, and knowing the central data concepts needed for Azure. The Microsoft DP-900 test, in particular, is designed for those who just started to work with cloud-related data. Those planning to take DP-900 should already possess basic knowledge of the main data-related concepts and understand how those concepts can be deployed with the help of Microsoft Azure data services. Also, candidates for DP-900 should be no strangers to analytical data workloads, transactional data workloads, non-relational data, and relational data. When it comes to the exam details, there are no mandatory prerequisites needed for DP-900. The signup cost of this fundamental-level exam is USD 99, plus it is administered around the globe in countless tongues like Spanish, French, German, Korean, Chinese, Japanese, and English. To know more, DP-900 is conducted at nearby exam centers or on the web in a supervised setting. As it was claimed above, passing this single exam means candidates will be awarded the Microsoft Certified: Azure Data Fundamentals validation, which is renewable. After attaining this certificate, learners can chase higher-level Microsoft certifications in the future like the Microsoft Certified: Azure Data Engineer Associate or the Microsoft Certified: Azure Database Administrator Associate.
Microsoft DP-900 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identify considerations for relational data on Azure | 20–25% | - Describe Azure relational data services
|
| Topic 2: Describe considerations for working with non-relational data on Azure | 15–20% | - Describe Azure storage services
|
| Topic 3: Describe core data concepts | 25–30% | - Describe data workloads
|
| Topic 4: Describe an analytics workload on Azure | 25–30% | - Describe Azure analytics services
|




