PDF Version DemoWhat requirements should you fulfill before taking the Microsoft DP-900 exam?
The candidates for this certification exam are those individuals who want to validate their foundational-level experience in working with data within Cloud. They should possess the basic knowledge and skills in the domain of core data concepts. They also need to have an understanding of how these are implemented with the use of Microsoft Azure data services.
The applicants do not have to fulfill any requirements to take the Microsoft DP-900 test or get the associated certification. However, they must be familiar with different concepts of non-relational and relational data. They should also know various types of data workloads that are available, including analytical and transactional. Additionally, the students must develop mastery of the exam topics before sitting for this test.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
Skills measured
- Describe core data concepts (15-20%)
- Describe how to work with relational data on Azure (25-30%)
- Describe an analytics workload on Azure (25-30%)
- Describe how to work with non-relational data on Azure (25-30%)
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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Microsoft DP-900 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe an analytics workload on Azure | 25-30% | - Describe Azure data analytics services
|
| Topic 2: Describe core data concepts | 25-30% | - Describe ways to represent data
|
| Topic 3: Identify considerations for relational data on Azure | 20-25% | - Describe relational concepts
|
| Topic 4: Describe considerations for working with non-relational data on Azure | 15-20% | - Describe non-relational concepts
|
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