Databricks Data Engineer Associate Question 420
Select 3You are tasked with building a production data pipeline in Databricks that ingests data from a streaming source, processes it using transformations, and writes the results to a Delta table. Which of the following practices should you follow to ensure the pipeline is reliable and maintainable?
- A
Use checkpointing to maintain state and ensure fault tolerance.
- B
Hardcode file paths and table names within the pipeline code.
- C
Implement idempotent writes to prevent duplicate records in the Delta table.
- D
Test the pipeline only in the production environment to save time.
- E
Use structured logging to monitor the pipeline's performance and debug issues.
Show answer and explanation
Correct answers: A, C, E
Explanation
To build a reliable and maintainable production pipeline in Databricks, certain best practices must be followed. Checkpointing ensures the pipeline can recover from failures, idempotent writes prevent duplicate records, and structured logging helps with monitoring and debugging. Avoid hardcoding paths to ensure flexibility and avoid testing only in production to catch issues earlier in the pipeline lifecycle. Following these practices ensures the pipeline operates smoothly and is easier to maintain.
- A. Correct.
Using checkpointing is essential in streaming pipelines to track the progress of data processing and ensure fault tolerance in case of failures. This is a best practice for production pipelines.
- B. Incorrect.
Hardcoding file paths and table names makes the pipeline inflexible and harder to manage, especially in production environments. This is not a recommended practice.
- C. Correct.
Idempotent writes ensure that the same data is not written multiple times in case of retries or failures, resulting in cleaner and more reliable outputs. This is a critical best practice.
- D. Incorrect.
Testing only in the production environment is not advisable because it can lead to unexpected failures and issues that could have been caught earlier in development or staging environments.
- E. Correct.
Structured logging is a best practice for monitoring and debugging production pipelines. It allows you to track the pipeline's performance and troubleshoot issues effectively.