A company uses AWS Glue Apache Spark jobs to handle extract, transform, and load (ETL)...

Vendor: Amazon Web Services
Product: Data-Engineer-Associate
Update on: Dec 15, 2025
Questions: 218

Amazon Web Services Data-Engineer-Associate Question Answer

A company uses AWS Glue Apache Spark jobs to handle extract, transform, and load (ETL) workloads. The company has enabled logging and monitoring for all AWS Glue jobs. One of the AWS Glue jobs begins to fail. A data engineer investigates the error and wants to examine metrics for all individual stages within the job. How can the data engineer access the stage metrics?

Examine the AWS Glue job and stage details in the Spark UI.

Examine the AWS Glue job and stage metrics in Amazon CloudWatch.

Examine the AWS Glue job and stage logs in AWS CloudTrail logs.

Examine the AWS Glue job and stage details by using the run insights feature on the job.