Microsoft DP-900 : Microsoft Azure Data Fundamentals

  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Updated: Aug 05, 2026
  • Q & A: 320 Questions and Answers

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About Microsoft DP-900 Exam

The benefit of obtaining the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certification

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The Microsoft DP-900 exam is intended for candidates who already have foundational knowledge and skills in performing basic tasks and using Microsoft Azure data services. It is also recommended for those who are starting their careers in the field of cloud data. Although there are no strict prerequisites, every individual who desires to take DP-900 test should have familiarity with non-relational and relational data as well as various types of data workloads such as analytical and transactional.

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

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Workload analytics on Azure

  • Elements of a modern data warehouse – this sub-section is focused on Azure data services related to modern data warehousing. In addition, applicants should be familiar with modern data warehousing workload and architecture.
  • Data visualization in Microsoft Power BI – this topic requires candidates to learn more about paginated reporting, dashboards, interactive reports, as well as workflow in Power BI.
  • Date processing and ingestion on Azure – main topics within this subdomain include data loading common practices, Azure Data Factory components (activities, pipeline, etc.), and data processing.
  • Analytics workloads – under this topic, candidates should learn more about transactional workloads as well as data warehousing workloads. Also, they have to get skilled in differentiating between an analytics and a transactional workload, know the difference between real and batch time, and be able to determining when a data warehouse solution is required.

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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.

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Microsoft DP-900 Exam Syllabus Topics:

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

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