Pass your actual test at first attempt with Microsoft DP-900 Deutsch training material
Last Updated: Jul 25, 2026
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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
Microsoft Azure Data Fundamentals is an exam that identifies individuals who have the knowledge to work with Azure data storage features. Building on previous core principles of data management, Azure Data Fundamentals exam is designed to evaluate the ability of the candidate. Money designed to assess the skills level for both professionals and students. Determine the type of skills required for a particular situation, for example, a cloud administrator or a data analyst. Gen candidate will have to know the fundamentals of Data Management to work with Azure data storage, create tools to manage data, locate, protect and process it. Relevant topics in a data management environment, a certified candidate should understand. Dml, Db, protection tools through recovery, recovery strategies, documentation data management policies, data loss prevention tools to backup and recovery for backup recovery.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe core data concepts | 25–30% | - Describe data workloads
|
| Topic 2: Identify considerations for relational data on Azure | 20–25% | - Describe Azure relational data services
|
| Topic 3: Describe considerations for working with non-relational data on Azure | 15–20% | - Describe non-relational data concepts
|
| Topic 4: Describe an analytics workload on Azure | 25–30% | - Describe Azure analytics services
|
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