DEA-C01 Question 354
Select 3You are a data engineer managing an AWS-based data pipeline that uses AWS Glue for ETL tasks. The pipeline processes data from Amazon S3 and writes the results back to another S3 bucket. Recently, you noticed delays in the pipeline execution. You want to identify and address the issue by monitoring and maintaining the pipeline. Which actions should you take to troubleshoot and maintain the pipeline effectively?
- A
Use AWS CloudWatch Logs to review the logs generated by AWS Glue jobs for errors or performance bottlenecks.
- B
Enable AWS Glue job bookmarks to ensure that the pipeline processes data incrementally and avoids reprocessing already processed data.
- C
Check the Amazon S3 Event Notifications configuration to ensure that events are correctly triggering the pipeline.
- D
Set up AWS Step Functions to orchestrate the pipeline and improve fault tolerance.
- E
Monitor the AWS Glue Data Catalog to ensure that table schema changes are not breaking the ETL jobs.
Show answer and explanation
Correct answers: A, C, E
Explanation
To effectively troubleshoot and maintain the data pipeline, you need to start by reviewing logs for errors or performance issues using AWS CloudWatch Logs. Verifying the S3 Event Notifications configuration ensures that pipeline triggers are functioning correctly. Additionally, monitoring the AWS Glue Data Catalog helps catch schema-related issues that can affect the ETL process. While Glue job bookmarks and Step Functions are valuable tools, they are not directly relevant to diagnosing and resolving pipeline delays in this scenario.
- A. Correct.
AWS CloudWatch Logs is an essential tool for troubleshooting AWS Glue jobs. Reviewing the logs helps identify errors, performance bottlenecks, or misconfigurations in the pipeline.
- B. Incorrect.
AWS Glue job bookmarks are used to manage state and avoid reprocessing, but they do not directly help in troubleshooting pipeline delays. This is more of a preventive measure.
- C. Correct.
Amazon S3 Event Notifications are often used to trigger pipelines. If the configuration is incorrect, the pipeline might not start as expected, causing delays.
- D. Incorrect.
AWS Step Functions can help with orchestration and fault tolerance, but simply setting it up does not address current pipeline delays or monitoring issues.
- E. Correct.
Monitoring the AWS Glue Data Catalog helps ensure that schema changes in the data sources or targets do not cause ETL job failures, which can lead to pipeline delays.