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Last Updated: Aug 16, 2026

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Exam Details

The Microsoft DP-900 exam has the following features:

  • The registration for the test is done at Pearson VUE for non-students who are interested in technology and via Certiport for students or instructors.
  • It costs $99. As for the job seekers impacted by the pandemic (COVID -19), they can schedule their exam for just $15.
  • The number of questions is not disclosed but you should expect 40-60 items

Upon passing DP-900, you will earn the Microsoft Certified: Azure Data Fundamentals. It showcases that you have the foundational knowledge on core data concepts and how they can be implemented using Microsoft Azure. Note that Microsoft DP-900 will be updated on January 27, 2021.

Explain Analytics Workloads on Azure: 25-30%

  • Explain Data Visualization within Microsoft Power BI: You need to have competence in explaining the function of dashboards, interactive reports, and paginated reporting, as well as the workflow within Power BI.
  • Explain Data Processing & Ingestion on Azure: The learners should be able to explain the fundamental practices for data loading, Azure Data Factory components, and data processing options.
  • Explain Analytics Workloads: The applicants should be able to explain transactional workloads, data warehousing workloads, and when data warehouse solutions are needed. This subtopic also covers their skills and knowledge associated with the differences between analytics and a transactional workload as well as the differences between real-time and batch.
  • Explain Modern Data Warehouse Components: The test takers should understand Azure data services for the latest data warehousing, including Azure Synapse Analytics, Azure HDInsight, Azure Data Lake, and Azure Databricks, as well as explainin the workload and architecture for modern data warehousing.

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Topics of Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

  • Describe an analytics workload on Azure (25-30%)
  • Describe core data concepts (15-20%)
  • Describe how to work with non-relational data on Azure (25-30%)
  • Describe how to work with relational data on Azure (25-30%)

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

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Microsoft DP-900日本語 Exam Syllabus Topics:

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