Microsoft Azure Data Fundamentals : DP-900

  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Updated: Aug 06, 2026
  • Q & A: 320 Questions and Answers

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About Microsoft DP-900 Exam

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Our exam practice material provides you everything you will need to take a test at the testing center. You will be able to take your DP-900 test with confidence. Team of experts, who have an experience of more than 15 years in training IT experts and professionals, has put their efforts behind developing the exam material. Tests will be made even more effective with our comprehensive study guide, consisting of detailed review of all the topics of the Microsoft DP-900 exam. Connect with the cloud, manage information in your enterprise with Microsoft Azure Data platform. Months of effort and experience have gone into creating the most effective and high quality study training material for the Microsoft DP-900 exam. Configure security for Azure resources, implement identity protection and management with Active Directory. View and manage data in a variety of ways. This exam training material is fully compatible with the latest Microsoft exam syllabus and testing guidelines. Microsoft DP-900 exam dumps has prepared by practice test experts to give you this competitive edge. Connectivity with the cloud is key to your business. Make sure your solutions can successfully deploy in Azure, giving you a competitive edge in this fast-growing industry. Troubleshoot Azure infrastructure and networking problems. The core of this exam is the ability to manage and architect your solution reliably and securely across both on-premises and cloud.

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Explain the Techniques Involved in Working with Relational Data on Microsoft Azure: 25-30%

  • Explain the Query Methods for Data with the SQL Language: The learners should be capable of comparing the Data Manipulation Language with the Data Definition Language. They should also be able to query relational data within Azure Database for MySQL, Azure SQL Database, and Azure Database for PostgreSQL.
  • Identify the Fundamental Management Tasks for Relational Data: The applicants should be able to explain the deployment and provisioning of relational data services. They also need to understand the techniques for deployment, such as Azure Resource Manager templates, Azure portal, Azure CLI, and Azure PowerShell. In addition, the students should be able to identify the fundamental connectivity issues and components of data security.
  • Explain Relational Azure Data Services: The individuals should have the ability to explain and compare SaaS, PaaS, and IaaS solutions as well as Azure Synapse Analytics. They also need the knowledge of Azure SQL database services, Azure Database for PostgreSQL, Azure Database for MySQL, and Azure Database for MariaDB.
  • Explain the Concepts of Relational Data Workloads: The examinees should be able to explain the structures of relational data and identify the appropriate data for relational workloads.

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

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Microsoft DP-900 Exam Syllabus Topics:

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

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