Last Updated: Oct 04, 2026
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The DP-900 certification exam is aimed at individuals who want to gain a foundational knowledge of cloud data services such as data storage, data processing, and data analytics. It covers core data concepts such as relational and non-relational data, data ingestion, transformation, and visualization, as well as Azure data services such as Azure SQL Database, Azure Cosmos DB, and Azure Synapse Analytics.
The DP-900: Microsoft Azure Data Fundamentals exam is designed for the individuals pursuing the Microsoft Certified: Azure Data Fundamentals certification. This test evaluates their foundational knowledge of core concepts of data and how these are implemented with the use of Microsoft Azure data services. The associated certificate is an ideal choice for those professionals who want to start a career in the IT field with the main focus on working with data in Cloud. The successful candidates with this certification can continue their journey by earning more advanced options such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, it is important to mention that this exam is not a requirement for any of these certificates.
This is a foundational certification exam, so it does not require any prerequisites. However, the potential candidates should have a good knowledge of the concepts of non-relational and relational data as well as different categories of data workloads, including analytical and transactional.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Microsoft DP-900 exam is an important stepping stone for those who wish to pursue a career in data analytics or cloud computing. DP-900J exam covers a broad range of topics, including data storage options, data processing, and data security in the context of the Azure platform. Passing the certification exam can provide a significant boost to one's career prospects and help establish credibility as an Azure data professional.
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe considerations for working with non-relational data on Azure | 15-20% | - Describe non-relational concepts
|
| Topic 2: Describe core data concepts | 25-30% | - Identify options for data storage
|
| Topic 3: Identify considerations for relational data on Azure | 20-25% | - Describe relational concepts
|
| Topic 4: Describe an analytics workload on Azure | 25-30% | - Describe Azure data analytics services
|
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