Microsoft Azure Data Fundamentals : DP-900

DP-900 real exams

Exam Code: DP-900

Exam Name: Microsoft Azure Data Fundamentals

Updated: Sep 10, 2026

Q & A: 332 Questions and Answers

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About Microsoft DP-900 Exam

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How to book the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

  • Step 1: Visit Microsoft Learning and search for DP-900: Microsoft Azure fundamentals.
  • Step 2: Sign up/log in to the Pearson VUE account
  • Step 3: Select a local center based on your country, date, time and confirm with a payment method.

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

Exam DP-900: Microsoft Azure Data Fundamentals

Candidates for this exam should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services.

This exam is intended for candidates beginning to work with data in the cloud.

Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.

Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it’s not a prerequisite for any of them.

Part of the requirements for: Microsoft Certified: Azure Data Fundamentals

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Exam Details

The Microsoft DP-900 exam has the following features:

  • The number of questions is not disclosed but you should expect 40-60 items
  • It costs $99. As for the job seekers impacted by the pandemic (COVID -19), they can schedule their exam for just $15.
  • 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.

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.

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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 non-relational data concepts
  • 1. Characteristics of NoSQL data
    • 2. Use cases for non-relational data
      - Describe Azure Cosmos DB
      • 1. APIs and data models
        • 2. Capabilities and features
          • 3. Consistency levels and partitioning
            - Describe Azure storage services
            • 1. File Storage
              • 2. Table Storage
                • 3. Queue Storage
                  • 4. Blob Storage
                    Topic 2: 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 real-time analytics
                          • 1. Azure Stream Analytics
                            • 2. Stream processing concepts
                              - Describe Azure analytics services
                              • 1. Azure HDInsight
                                • 2. Microsoft Fabric
                                  • 3. Azure Data Lake Storage Gen2
                                    • 4. Azure Synapse Analytics
                                      • 5. Azure Databricks
                                        - Describe data visualization
                                        • 1. Power BI capabilities
                                          • 2. Data models and reports
                                            Topic 3: Describe core data concepts25–30%- Describe data workloads
                                            • 1. Analytical workloads
                                              • 2. Transactional workloads
                                                • 3. Batch and streaming data
                                                  - 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
                                                        Topic 4: Identify considerations for relational data on Azure20–25%- Describe relational data concepts
                                                        • 1. Normalization
                                                          • 2. Relationships, keys, constraints
                                                            • 3. Query data with SQL
                                                              - Describe Azure relational data services
                                                              • 1. Azure SQL Managed Instance
                                                                • 2. Azure SQL Database
                                                                  • 3. SQL Server on Azure Virtual Machines
                                                                    • 4. Open-source databases: PostgreSQL, MySQL, MariaDB

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