A data engineering team is developing a new batch pipeline in Azure Data Factory. The pipeline reads data from a source, applies transformations, and loads the results into a destination. The team wants to implement a testing strategy that validates the pipeline's logic without running the entire pipeline against production data. They need to ensure that the tests are repeatable and can be integrated into their CI/CD process. What should the team do?

Run the pipeline in debug mode in the Azure Data Factory UI and manually inspect the output.

Create a separate test pipeline that uses sample data and runs in a test environment, and validate the output against expected results.

Use a 'Data Flow' activity with a 'Source' transformation that reads from a SQL database and a 'Sink' that writes to a staging table, then compare the results.

Write a unit test in Python that calls the Azure Data Factory REST API to trigger the pipeline and validate the output.

Microsoft Certified:Azure Data Engineer Associate

Domain 2Objective 2

Develop a Batch Processing Solution DP-203 Practice Questions (Page 5)

Part of the Develop data processing domain, which accounts for 40–45% of the DP-203 exam. Microsoft does not publish an official question count, but from its 100-minute exam (~40–65 total, ~16–29 in this domain), expect 4–7 from this objective — we provide 42 practice questions to prepare you well beyond it. (estimate)

42questions here

9free pages

16concepts

40–45%of the exam

Questions 21–25

21foundation · easy
Which Azure service is a cloud-based ETL and data integration service that allows you to create, schedule, and orchestrate data pipelines that move and transform data from various sources to destinations?
Select an answer first
22foundation · easy
Which feature of Azure Databricks allows you to automatically adjust the number of worker nodes based on the workload, helping to optimize batch processing performance and cost?
Select an answer first
23foundation · easy
Which open-source format provides ACID transactions, time travel, and schema enforcement for data stored in a data lake, commonly used for batch processing?
Select an answer first
24foundation · easy
Which object must be created in a dedicated SQL pool before you can use PolyBase to load data from an external file?
Select an answer first
25expert · hard
A data engineering team is developing a new batch pipeline in Azure Data Factory. The pipeline reads data from a source, applies transformations, and loads the results into a destination. The team wants to implement a testing strategy that validates the pipeline's logic without running the entire pipeline against production data. They need to ensure that the tests are repeatable and can be integrated into their CI/CD process. What should the team do?
Select an answer first

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Develop a Batch Processing Solution DP-203 Practice Questions (Page 5)

Questions 21–25

Which Azure service is a cloud-based ETL and data integration service that allows you to create, schedule, and orchestrate data pipelines that move and transform data from various sources to destinations?

Which feature of Azure Databricks allows you to automatically adjust the number of worker nodes based on the workload, helping to optimize batch processing performance and cost?

Which open-source format provides ACID transactions, time travel, and schema enforcement for data stored in a data lake, commonly used for batch processing?

Which object must be created in a dedicated SQL pool before you can use PolyBase to load data from an external file?

Keep studying — Develop data processing