Updated: Sep 17, 2026
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In brief, DP-900 test focuses on exam objectives like interacting with relational data on Azure, handling analytics workload on Azure, dealing with non-relational data on Azure, and knowing the central data concepts needed for Azure. The Microsoft DP-900 test, in particular, is designed for those who just started to work with cloud-related data. Those planning to take DP-900 should already possess basic knowledge of the main data-related concepts and understand how those concepts can be deployed with the help of Microsoft Azure data services. Also, candidates for DP-900 should be no strangers to analytical data workloads, transactional data workloads, non-relational data, and relational data. When it comes to the exam details, there are no mandatory prerequisites needed for DP-900. The signup cost of this fundamental-level exam is USD 99, plus it is administered around the globe in countless tongues like Spanish, French, German, Korean, Chinese, Japanese, and English. To know more, DP-900 is conducted at nearby exam centers or on the web in a supervised setting. As it was claimed above, passing this single exam means candidates will be awarded the Microsoft Certified: Azure Data Fundamentals validation, which is renewable. After attaining this certificate, learners can chase higher-level Microsoft certifications in the future like the Microsoft Certified: Azure Data Engineer Associate or the Microsoft Certified: Azure Database Administrator Associate.
The average salary of a Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certified Expert in
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure Data Fundamentals |
| Exam Number: | DP-900 |
| Available Languages: | Spanish, English, French, Portuguese (Brazil), Chinese (Simplified), Italian, German, Korean, Japanese |
| Certificate Validity Period: | Does not expire (Fundamentals certification currently does not require renewal) |
| Real Exam Qty: | 40-60 |
| Passing Score: | 700 (out of 1000) |
| Exam Duration: | 45-60 |
| Exam Price: | 99 USD (varies by country/region) |
| Related Certifications: | Microsoft Certified: Azure Database Administrator Associate Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Azure AI Engineer Associate |
| Exam Format: | Drag and drop, Case-based questions, Multiple choice, Multiple select |
| Recommended Training: | Azure Data Fundamentals Course Microsoft Learn DP-900 Learning Path |
| Exam Registration: | Microsoft Learn Certification Page Pearson VUE Registration Portal |
| Sample Questions: | Microsoft DP-900 Deutsch Sample Questions |
| Exam Way: | Online proctored exam via Pearson VUE or in-person test center |
| Pre Condition: | No prerequisites required; intended for beginners in data concepts and Azure services. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-data-fundamentals/ |
Microsoft Certified: Azure Data Fundamentals is an entry-level certificate. However, the candidates who pass the prerequisite exam and obtain this certification can pursue a variety of rewarding job roles. These include an IT Administrator, a Desktop Engineer, a Windows Administrator, an Azure Security Engineer, an Azure Solutions Architect, an Azure Application Architect, a Technical Help Desk, and an IT Service Desk Analyst, among others. The salary outlook for these positions is an average of $56,000 per annum.
| Section | Weight | Objectives |
|---|---|---|
| Relational Data in Azure | 20-25% | - Relational data concepts - Azure relational data services
|
| Analytics Workloads in Azure | 25-30% | - Data visualization and reporting - Data ingestion and processing - Azure analytics services
|
| Non-Relational Data in Azure | 15-20% | - Non-relational data concepts - Data processing options for non-relational data - Azure storage services
|
| Core Data Concepts | 25-30% | - Types of core data workloads - Relational vs non-relational data - Data analytics workloads overview - Roles and responsibilities in data work |
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