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Updated: Aug 03, 2026
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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 |
| Certificate Validity Period: | Does not expire (Fundamentals certification currently does not require renewal) |
| Exam Duration: | 45-60 |
| Real Exam Qty: | 40-60 |
| Exam Price: | 99 USD (varies by country/region) |
| Exam Format: | Multiple choice, Multiple select, Drag and drop, Case-based questions |
| Available Languages: | English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Italian |
| Passing Score: | 700 (out of 1000) |
| Related Certifications: | Microsoft Certified: Azure Database Administrator Associate Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Azure AI Engineer Associate |
| Recommended Training: | Azure Data Fundamentals Course Microsoft Learn DP-900 Learning Path |
| Exam Registration: | Pearson VUE Registration Portal Microsoft Learn Certification Page |
| Sample Questions: | Microsoft DP-900 Korean 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/ |
The test takers will be required to have the ability to describe some concepts in this topic, including relational data workloads and relational Azure data services. They will also need to know how to identify the basic management functions for relational data. Additionally, they need to possess a good understanding of how to use the SQL language to describe the query methods for data.
This domain of the DP-900 exam measures one’s knowledge of analytics workloads, data processing, and ingestion on Azure, as well as the elements of modern data warehouses. The candidates will also be tested on their understanding of data visualization within Microsoft Power BI. This involves describing the specific role of dashboards, paginated reporting, interactive reports, and workflows in Power BI.
Within this subject area, the students should be able to explain different categories of core data workloads that are available. To answer questions from this subtopic, the examinees should be able to explain batch data and streaming data. They should also know the attributes of relational data and core differences between streaming and batch data. It also covers their skills in core concepts of data analytics. This requires an understanding of data visualization, basic chart types, analytics techniques, data processing concepts, as well as ETL & ELT processing.
The questions from this section will evaluate the understanding of the candidates in non-relational data workloads as well as non-relational data contributions on Azure. They must be able to explain Azure File storage, Azure Cosmos DB APIs, Azure Blob Storage, and Azure Table storage. They should also be able to identify the foundational management tasks for non-relational data.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Non-Relational Data in Azure | 15-20% | - Non-relational data concepts - Azure storage services
|
| Topic 2: Relational Data in Azure | 20-25% | - Relational data concepts - Querying relational data - Azure relational data services
|
| Topic 3: Core Data Concepts | 25-30% | - Types of core data workloads - Roles and responsibilities in data work - Data analytics workloads overview - Relational vs non-relational data |
| Topic 4: Analytics Workloads in Azure | 25-30% | - Data analytics concepts - Data ingestion and processing - Data visualization and reporting - Azure analytics services
|
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