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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The Microsoft DP-900 (Microsoft Azure Data Fundamentals) is the single exam students will have to overcome if they want to attain the Microsoft Certified: Azure Data Fundamentals certificate. Those who hold this certification can become a developer, data engineer, data administrator, or data analyst.

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How to book the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

• Step 1: Visit Microsoft Learning and search for DP-900: Microsoft Azure fundamentals.
• Step 2: Sign up/log in to the Pearson VUE account
• Step 3: Select a local center based on your country, date, time and confirm with a payment method.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900

What 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.