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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
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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Exam Details
The Microsoft DP-900 exam has the following features:
- The number of questions is not disclosed but you should expect 40-60 items
- It costs $99. As for the job seekers impacted by the pandemic (COVID -19), they can schedule their exam for just $15.
- The registration for the test is done at Pearson VUE for non-students who are interested in technology and via Certiport for students or instructors.
Upon passing DP-900, you will earn the Microsoft Certified: Azure Data Fundamentals. It showcases that you have the foundational knowledge on core data concepts and how they can be implemented using Microsoft Azure. Note that Microsoft DP-900 will be updated on January 27, 2021.
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Microsoft DP-900 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe considerations for working with non-relational data on Azure | 15–20% | - Describe non-relational data concepts
|
| Topic 2: Describe an analytics workload on Azure | 25–30% | - Describe big data and analytics concepts
|
| Topic 3: Describe core data concepts | 25–30% | - Describe data workloads
|
| Topic 4: Identify considerations for relational data on Azure | 20–25% | - Describe relational data concepts
|





