The Microsoft DP-900: Microsoft Azure Data Fundamentals exam validates your foundational knowledge of core data concepts, relational and non-relational databases, cloud data services, and modern data analytics solutions.

Passing the DP-900 exam earns you the Microsoft Certified: Azure Data Fundamentals certification, demonstrating your understanding of Microsoft Azure data technologies, including Azure SQL, Azure Cosmos DB, Azure Databricks, Microsoft Fabric, and Power BI.

DP-900 is a beginner-level Microsoft certification exam designed for students, freshers, IT professionals, and individuals who want to start their careers in cloud computing, database technologies, and data analytics.

The certification focuses on fundamental data concepts, database management, cloud data storage, transactional and analytical workloads, and Microsoft Azure data services.

DP-900 provides a strong foundation for professionals planning to advance into SQL development, database administration, data engineering, and data analytics.

1. Describe Core Data Concepts (25–30%)

• Understand structured, semi-structured, and unstructured data.
• Identify different data storage formats and database types.
• Differentiate transactional (OLTP) and analytical (OLAP) workloads.
• Understand the responsibilities of database administrators, data engineers, and data analysts.

2. Identify Considerations for Relational Data on Azure (20–25%)

• Understand relational databases, tables, keys, and relationships.
• Explain database normalization and SQL fundamentals.
• Identify Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines.

3. Describe Non-Relational Data on Azure (15–20%)

• Understand NoSQL databases and non-relational data models.
• Explore Azure Blob Storage, Azure Files, and Azure Table Storage.
• Identify Azure Cosmos DB features, APIs, and use cases.

4. Describe Analytics Workloads on Azure (25–30%)

• Understand data ingestion, transformation, and analytical data processing.
• Differentiate batch processing and real-time streaming analytics.
• Identify the capabilities of Azure Databricks and Microsoft Fabric.
• Understand Power BI reports, dashboards, semantic models, and visualizations.

• Students and Freshers interested in starting a career in cloud data technologies.
• SQL Beginners looking to understand relational databases and Azure SQL.
• Aspiring Data Engineers planning to work with Azure data services.
• Aspiring Data Analysts interested in data visualization and analytics.
• IT Professionals transitioning into cloud computing and database roles.
• Business Professionals who want to understand data platforms and analytics concepts.

• Core Data Concepts: Structured, semi-structured, unstructured data, file formats, and data workloads.
• Relational Databases: SQL fundamentals, database objects, normalization, and relational database concepts.
• Azure SQL Services: Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure VMs.
• Non-Relational Data Services: Azure Cosmos DB, Blob Storage, Azure Files, and Table Storage.
• Data Engineering and Analytics: Data ingestion, processing, data warehouses, lakehouses, Microsoft Fabric, and Azure Databricks.
• Real-Time Analytics: Batch processing, streaming data, and cloud analytics services.
• Power BI Fundamentals: Reports, dashboards, semantic models, and data visualizations.

• Microsoft-Recognized Certification: Validate your foundational knowledge of Microsoft Azure data services.
• Beginner-Friendly Certification: Start your cloud and data learning journey without requiring advanced technical experience.
• Career Opportunities: Build foundational skills relevant to junior SQL, data analytics, database support, and cloud data roles.
• Cloud Data Knowledge: Understand widely used technologies such as Azure SQL, Azure Cosmos DB, Microsoft Fabric, and Power BI.
• Professional Credibility: Strengthen your resume with a Microsoft certification.
• Foundation for Advanced Certifications: Prepare for further learning toward certifications such as DP-300, DP-600, DP-700, and DP-750.
• Career Growth: Develop an understanding of cloud databases and modern analytics technologies used in enterprise environments.

A. Azure Blob Storage
B. Azure SQL Database
C. Azure Cosmos DB
D. Azure Data Lake Storage

A. Structured Data
B. Unstructured Data
C. Semi-Structured Data
D. Relational Data

A. Azure SQL Database
B. Azure Cosmos DB
C. Azure Files
D. Azure Virtual Machines

A. OLAP
B. OLTP
C. Batch Analytics
D. Data Warehousing

A. Azure SQL Database
B. Azure Table Storage
C. Azure Blob Storage
D. Azure Cosmos DB

A. Azure SQL Managed Instance
B. Power BI
C. Azure Blob Storage
D. Azure Virtual Machines

A. Batch Processing
B. Stream Processing
C. Database Normalization
D. Data Archiving