Exam DP-900: Microsoft Azure Data Fundamentals
Candidates for this exam should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services.
This exam is intended for candidates beginning to work with data in the cloud.
Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.
Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it’s not a prerequisite for any of them.
Part of the requirements for: Microsoft Certified: Azure Data Fundamentals
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Skills measured
- Describe core data concepts (15-20%)
- Describe how to work with non-relational data on Azure (25-30%)
- Describe an analytics workload on Azure (25-30%)
- Describe how to work with relational data on Azure (25-30%)
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Certification Paths Available
Upon earning Microsoft Certified: Azure Data Fundamentals, you will be able to advance your career to higher-level certifications. For instance, it can be a starting point for Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, this fundamental accreditation is not a requirement for earning any of the next certificates. Therefore, all you have to do is to pass Microsoft DP-900 exam and prepare to face the real-world challenges as you advance in your career.
Microsoft DP-900 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identify considerations for relational data on Azure | 20–25% | - Describe relational data concepts
|
| Topic 2: Describe core data concepts | 25–30% | - Describe types of data
|
| Topic 3: Describe considerations for working with non-relational data on Azure | 15–20% | - Describe Azure Cosmos DB
|
| Topic 4: Describe an analytics workload on Azure | 25–30% | - Describe Azure analytics services
|




