Microsoft DP-900 real exam prep : Microsoft Azure Data Fundamentals

  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Updated: Aug 11, 2026
  • Q&As: 332 Questions and Answers

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About Microsoft DP-900 Real Exam

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

Download exam skills outline

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

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DP-900 exam dumps

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Helpful Training Course for Acing DP-900

To help students get fully ready for DP-900, Microsoft has created an official 1-day teacher-guided program for students named ‘Course DP-900T00-A: Microsoft Azure Data Fundamentals’. There are 4 modules in this course which will address all the topics needed for the Microsoft DP-900. However, such a class does not have any related lab exercises, meaning students will not get the scope for applying the things they have learnt in theory. In general, this training is perfect for those who want to learn the main concepts and skills needed to provide cloud data services with the help of Microsoft Azure.

What job roles can you pursue after passing the Microsoft DP-900 exam?

Microsoft Certified: Azure Data Fundamentals is an entry-level certificate. However, the candidates who pass the prerequisite exam and obtain this certification can pursue a variety of rewarding job roles. These include an IT Administrator, a Desktop Engineer, a Windows Administrator, an Azure Security Engineer, an Azure Solutions Architect, an Azure Application Architect, a Technical Help Desk, and an IT Service Desk Analyst, among others. The salary outlook for these positions is an average of $56,000 per annum.

Microsoft DP-900 Exam Syllabus Topics:

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

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