DEA-C01 Question 302
Select 3Your team is designing a data processing pipeline using AWS Glue to transform incoming data for downstream analytics. Recently, you observed that some jobs fail intermittently due to schema mismatches in the incoming data files. To ensure repeatable business outcomes, what steps should you take to identify and resolve this issue?
- A
Enable AWS Glue job bookmarks to track processed data and prevent reprocessing.
- B
Implement AWS Glue DynamicFrames to handle schema inconsistencies during transformation.
- C
Use AWS Glue Data Catalog to enforce a strict schema for incoming datasets.
- D
Enable AWS Glue's built-in error-handling capabilities with retry policies.
- E
Configure Amazon CloudWatch Logs for the AWS Glue job to monitor for schema-related errors.
Show answer and explanation
Correct answers: B, C, E
Explanation
To troubleshoot and resolve schema mismatch issues in AWS Glue, you can use DynamicFrames to handle schema inconsistencies, enforce a strict schema using the Glue Data Catalog, and monitor job logs via CloudWatch to identify errors. These steps ensure repeatable and reliable data processing outcomes.
- A. Incorrect.
While AWS Glue job bookmarks help prevent reprocessing of previously processed data, they do not directly address schema mismatch issues.
- B. Correct.
AWS Glue DynamicFrames are designed to handle semi-structured data and schema inconsistencies, making them suitable for resolving schema mismatch problems.
- C. Correct.
Using the AWS Glue Data Catalog to enforce a strict schema ensures that incoming data adheres to a predefined structure, reducing the chances of schema mismatches.
- D. Incorrect.
AWS Glue's error-handling capabilities with retry policies are useful for transient errors but do not directly resolve schema mismatch issues.
- E. Correct.
Configuring Amazon CloudWatch Logs can help identify and diagnose schema-related errors, providing valuable insights into the root cause of the problem.