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.
- Which Azure Databricks feature enables structured streaming of data from Azure Event Hubs? → Spark Structured Streaming with Event Hubs connector
- In Azure Data Factory, what is a Linked Service used for? → Storing connection information to external resources
- What is a key feature of Azure Data Lake Storage Gen2? → It provides built-in hierarchical namespace.
- Which ADF activity allows you to execute a stored procedure on an Azure SQL Database or Azure Synapse Analytics? → Stored Procedure activity
- What is the significance of documentation in Data Security? → It provides a record for accountability, quality assurance, and legal compliance
- Which Azure service is the primary entry point for ingesting large volumes of real-time event streaming data? → Azure Event Hubs
- 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)
- 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
- Which Azure Databricks feature provides fine-grained access control on tables, columns, and rows stored in the Hive metastore? → Unity Catalog data governance
- Which Azure Stream Analytics compatibility level controls query language features and serialization behaviors? → Compatibility level
- A data engineer wants to ensure that only resources within a specific Azure Virtual Network can write to an ADLS Gen2 account. What should be configured? → Storage account network rules to allow only the specific VNet subnet via service endpoints
- When should you use Azure Data Factory's 'ForEach' activity? → To iterate over a collection of items and execute child activities for each
- Which Delta Lake feature ensures ACID transactions on streaming writes in Azure Databricks? → Delta transaction log
- What is a Tumbling Window in Azure Stream Analytics? → A fixed-size, non-overlapping, contiguous time segment
- What is a key feature of Azure Synapse Analytics? → It combines big data and data warehousing.
- In Azure Data Factory Mapping Data Flows, which transformation reduces the number of rows by computing summary statistics per group? → Aggregate
- In Azure Stream Analytics, what are Streaming Units (SUs)? → A measure of compute resources (CPU and memory) allocated to a job
- What feature of Azure Log Analytics allows you to query and analyze log data? → Kusto Query Language (KQL)
- What is the primary purpose of standardized procedures in Data Storage Solutions? → To ensure consistency, safety, and quality across all practitioners
- Which approach is most effective for problem-solving in Data Storage Solutions? → Systematic analysis followed by evidence-based decision making
- Which Event Hubs feature allows you to automatically capture streaming data to Azure Blob Storage or Data Lake Storage? → Event Hubs Capture
- 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)
- Which ADF feature allows you to visually debug a Mapping Data Flow without running the full pipeline? → Data preview in debug mode
- What is the primary purpose of enabling Microsoft Defender for SQL on an Azure Synapse dedicated SQL pool? → To detect anomalous database activities and potential threats such as SQL injection
- 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
- In Azure Stream Analytics, what is the purpose of a Reference Data input? → To supply slowly changing lookup data joined against the event stream
- Which approach is most effective for problem-solving in Monitoring and Optimization? → Systematic analysis followed by evidence-based decision making
- Which Azure Data Factory component is used to define the sequence of activities to perform a data transformation task? → Pipeline
- What is the significance of documentation in Data Processing? → It provides a record for accountability, quality assurance, and legal compliance
- Which Azure Synapse dedicated SQL pool feature stores query results so that subsequent identical queries return instantly without re-execution? → Result-set caching
Turn these facts into recall: