DP-203 Azure Data Engineer Associate Cheat Sheet 2026

The 30 highest-yield DP-203 Azure Data Engineer Associate facts, distilled from real exam questions. Print it, save it as a PDF, or study it here — free, no sign-up.

1. Which Azure Databricks feature enables structured streaming of data from Azure Event Hubs? → Spark Structured Streaming with Event Hubs connector
2. In Azure Data Factory, what is a Linked Service used for? → Storing connection information to external resources
3. What is a key feature of Azure Data Lake Storage Gen2? → It provides built-in hierarchical namespace.
4. Which ADF activity allows you to execute a stored procedure on an Azure SQL Database or Azure Synapse Analytics? → Stored Procedure activity
5. What is the significance of documentation in Data Security? → It provides a record for accountability, quality assurance, and legal compliance
6. Which Azure service is the primary entry point for ingesting large volumes of real-time event streaming data? → Azure Event Hubs
7. What connector allows Apache Spark pools in Azure Synapse Analytics to efficiently read from and write to dedicated SQL pools? → Synapse Spark connector (azure-synapse-spark-connector)
8. What happens to data stored in an Azure Synapse Analytics dedicated SQL pool when the pool is paused? → Data remains intact in Azure Storage and is fully preserved
9. Which Azure Stream Analytics compatibility level controls query language features and serialization behaviors? → Compatibility level
10. When should you use Azure Data Factory's 'ForEach' activity? → To iterate over a collection of items and execute child activities for each
11. Which Delta Lake feature ensures ACID transactions on streaming writes in Azure Databricks? → Delta transaction log
12. What is a Tumbling Window in Azure Stream Analytics? → A fixed-size, non-overlapping, contiguous time segment
13. What is a key feature of Azure Synapse Analytics? → It combines big data and data warehousing.
14. In Azure Data Factory Mapping Data Flows, which transformation reduces the number of rows by computing summary statistics per group? → Aggregate
15. In Azure Stream Analytics, what are Streaming Units (SUs)? → A measure of compute resources (CPU and memory) allocated to a job
16. What feature of Azure Log Analytics allows you to query and analyze log data? → Kusto Query Language (KQL)
17. What is the primary purpose of standardized procedures in Data Storage Solutions? → To ensure consistency, safety, and quality across all practitioners
18. Which approach is most effective for problem-solving in Data Storage Solutions? → Systematic analysis followed by evidence-based decision making
19. Which Event Hubs feature allows you to automatically capture streaming data to Azure Blob Storage or Data Lake Storage? → Event Hubs Capture
20. Which of the following is a primary compliance regulation that organizations must consider when handling data in Azure? → Health Insurance Portability and Accountability Act (HIPAA)
21. Which ADF feature allows you to visually debug a Mapping Data Flow without running the full pipeline? → Data preview in debug mode
22. Which feature in Azure Synapse Analytics allows SQL queries to access data stored in Azure Data Lake Storage Gen2 without loading it into a dedicated SQL pool? → External tables with PolyBase
23. In Azure Stream Analytics, what is the purpose of a Reference Data input? → To supply slowly changing lookup data joined against the event stream
24. Which approach is most effective for problem-solving in Monitoring and Optimization? → Systematic analysis followed by evidence-based decision making
25. Which Azure Data Factory component is used to define the sequence of activities to perform a data transformation task? → Pipeline
26. What is the significance of documentation in Data Processing? → It provides a record for accountability, quality assurance, and legal compliance
27. Which Azure Synapse dedicated SQL pool feature stores query results so that subsequent identical queries return instantly without re-execution? → Result-set caching
28. In ADF, which parameter scope allows you to pass dynamic values into a pipeline at runtime? → Pipeline parameters
29. Which type of data processing is Azure Stream Analytics primarily used for? → Real-time analytics
30. What role does continuing education play in Monitoring and Optimization? → Keeping practitioners current with evolving best practices and new developments