Exam DP-900: Microsoft Azure Data Fundamentals
Proctored fundamentals exam that may include interactive components.
- Type
- Written
- Duration
- 45 min
Exam sections
Describe core data concepts
This section covers foundational knowledge of core data concepts including relational, non-relational, and analytical workloads. Candidates are tested on their understanding of how data is structured, the roles of data professionals, and the fundamental principles of data processing in the cloud.
Question notes
This exam is proctored and may include interactive components as part of the assessment experience.
Preparation tips
Review the self-paced learning paths and use the official Microsoft practice assessment to gauge your readiness and identify knowledge gaps.
Identify considerations for relational data on Azure
This section focuses on relational data services on the Azure platform. It includes identifying characteristics of relational data, understanding the concepts of relational databases, and exploring various Azure relational offerings such as Azure SQL Database and SQL Server on Azure Virtual Machines.
Question notes
This exam is proctored and may include interactive components as part of the assessment experience.
Preparation tips
Focus on identifying characteristics of relational data and the specific use cases for different Azure SQL services.
Describe considerations for working with non-relational data on Azure
This section examines the implementation and management of non-relational data in Azure. It covers the characteristics of non-relational data, the different types of NoSQL databases, and the use of Azure services like Azure Cosmos DB for storing and processing unstructured and semi-structured data.
Question notes
This exam is proctored and may include interactive components as part of the assessment experience.
Preparation tips
Ensure you understand the structure of non-relational data and the capabilities of Azure Cosmos DB and Azure Storage.
Describe an analytics workload on Azure
This section details the components and processes involved in analytics workloads on Azure. It covers the architecture of a modern data warehouse, the role of services like Azure Synapse Analytics and Azure Databricks, and the principles of data ingestion, transformation, and visualization.
Question notes
This exam is proctored and may include interactive components as part of the assessment experience.
Preparation tips
Study the components of a modern data warehouse architecture and the tools used for data ingestion and visualization, such as Power BI.
