DP-900 Azure Data Fundamentals Practice Exam Questions 2026

• • QL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines).
  • Azure database services for open-source database systems (e.g., Azure Database for PostgreSQL, Azure Database for MySQL).

3. Describe Considerations for Working with Non-Relational Data on Azure (15−20%)

• Describe capabilities of Azure storage:
  • Azure Blob storage.
  • Azure File storage.
  • Azure Table storage.
• Describe capabilities and features of Azure Cosmos DB:
  • Identify use cases for Azure Cosmos DB (globally distributed, multi-model).
  • Describe Azure Cosmos DB APIs (e.g., SQL, MongoDB, Cassandra).

4. Describe an Analytics Workload on Azure (25−30%)

• Describe common elements of large-scale analytics:
  • Considerations for data ingestion and processing (ETL/ELT).
  • Options for analytical data stores (e.g., Data Lakes, Data Warehouses).
  • Microsoft cloud services for large-scale analytics, including Azure Synapse Analytics and Azure Databricks.
• Describe consideration for real-time data analytics:
  • Difference between batch and streaming data.
  • Technologies for real-time analytics (e.g., Azure Stream Analytics).
• Describe data visualization in Microsoft Power BI:
  • Identify capabilities of Power BI (interactive reports, dashboards).
  • Describe features of data models in Power BI.