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Updated: Aug 23, 2026

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The Microsoft DP-900 exam consists of multiple-choice questions that test the candidate's knowledge and understanding of Azure data services. DP-900 exam is divided into four main areas: understanding core data concepts, working with relational data on Azure, working with non-relational data on Azure, and analyzing data on Azure. DP-900 exam is designed to test the candidate's knowledge and understanding of Azure data services, and the questions are designed to be challenging but not too difficult.

Microsoft DP-900 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure Data Fundamentals
Exam Number:DP-900
Exam Duration:60 minutes
Exam Format:Multiple choice, Multiple select, Drag-and-drop, Scenario-based questions
Passing Score:700 / 1000
Related Certifications:Azure Database Administrator Associate
Azure Data Engineer Associate
Azure Data Scientist Associate
Certificate Validity Period:Lifetime
Exam Price:$99 USD
Available Languages:English, Japanese, Chinese (Simplified), Korean, French, German, Spanish, Portuguese (Brazil), Russian, Indonesian, Arabic, Chinese (Traditional)
Real Exam Qty:40–60
Recommended Training:Microsoft Learn Free Learning Path
DP-900T00: Microsoft Azure Data Fundamentals
Exam Registration:Certiport (for students/educators)
Pearson VUE
Sample Questions:Microsoft DP-900 Sample Questions
Exam Way:Online proctored or onsite at authorized test centers
Pre Condition:No prerequisites required
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-900

Microsoft DP-900 (Microsoft Azure Data Fundamentals) certification exam is a valuable credential for anyone looking to validate their knowledge and skills in managing data in the cloud. With its comprehensive coverage of foundational concepts and practical applications, this certification can help you stand out in a competitive job market and advance your career in the field of data management.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900

Microsoft DP-900 certification exam, also known as the Microsoft Azure Data Fundamentals exam, is an entry-level certification aimed at individuals who are interested in demonstrating their foundational knowledge of cloud data services. DP-900 exam is designed to test the candidate's understanding of the core principles of data services in the cloud, including data storage options, data processing, and data security.

Microsoft DP-900 Exam Syllabus Topics:

SectionWeightObjectives
Describe core data concepts25–30%- Describe types of data
  • 1. File formats
    • 2. Structured, semi-structured, and unstructured data
      - Describe data workloads
      • 1. Analytical workloads
        • 2. Batch and streaming data
          • 3. Transactional workloads
            - Describe roles and responsibilities
            • 1. Data engineer, data analyst, database administrator
              Describe an analytics workload on Azure25–30%- Describe data visualization
              • 1. Data models and reports
                • 2. Power BI capabilities
                  - Describe Azure analytics services
                  • 1. Azure Data Lake Storage Gen2
                    • 2. Microsoft Fabric
                      • 3. Azure Synapse Analytics
                        • 4. Azure Databricks
                          • 5. Azure HDInsight
                            - Describe big data and analytics concepts
                            • 1. Modern data warehouse architecture
                              • 2. Data ingestion and processing
                                • 3. Data lakes and data warehouses
                                  - Describe real-time analytics
                                  • 1. Stream processing concepts
                                    • 2. Azure Stream Analytics
                                      Describe considerations for working with non-relational data on Azure15–20%- Describe Azure storage services
                                      • 1. Blob Storage
                                        • 2. Table Storage
                                          • 3. File Storage
                                            • 4. Queue Storage
                                              - Describe non-relational data concepts
                                              • 1. Characteristics of NoSQL data
                                                • 2. Use cases for non-relational data
                                                  - Describe Azure Cosmos DB
                                                  • 1. Capabilities and features
                                                    • 2. Consistency levels and partitioning
                                                      • 3. APIs and data models
                                                        Identify considerations for relational data on Azure20–25%- Describe Azure relational data services
                                                        • 1. SQL Server on Azure Virtual Machines
                                                          • 2. Azure SQL Managed Instance
                                                            • 3. Azure SQL Database
                                                              • 4. Open-source databases: PostgreSQL, MySQL, MariaDB
                                                                - Describe relational data concepts
                                                                • 1. Normalization
                                                                  • 2. Relationships, keys, constraints
                                                                    • 3. Query data with SQL

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