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Microsoft DP-900

DP-900

Exam Code: DP-900

Exam Name: Microsoft Azure Data Fundamentals

Updated: Jul 27, 2026

Q & A: 320 Questions and Answers

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About Microsoft DP-900 Exam

General Overview of Microsoft DP-900 Exam

The Microsoft DP-900 exam evaluates the individuals’ understanding of core data concepts, analytics workloads on Azure, as well as how to function with relational and non-relational data within Azure. The test contains 40-60 questions and the applicants have 90 minutes for the completion. The students or instructors who want to take this exam are required to schedule it through Certiport while the non-students are to schedule the test with Pearson VUE. The fee for the exam is $99 and it is available in a range of languages, including English, Spanish, French, Korean, German, Japanese, and Simplified Chinese.

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

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Certification Paths Available

Upon earning Microsoft Certified: Azure Data Fundamentals, you will be able to advance your career to higher-level certifications. For instance, it can be a starting point for Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, this fundamental accreditation is not a requirement for earning any of the next certificates. Therefore, all you have to do is to pass Microsoft DP-900 exam and prepare to face the real-world challenges as you advance in your career.

Microsoft DP-900 Exam Syllabus Topics:

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

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