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AWS Certified Data Engineer Associate DEA-C01 Practice Question

An AWS Glue Spark job that extracts data from Amazon S3 and loads it into Amazon Redshift intermittently fails with Java heap-space errors. The data engineer must identify which Spark stages consume excessive executor memory without changing the job's code. What is the most effective way to obtain this information?

  • Set the job parameter --enable-bookmark true so Glue records incremental processing information.

  • Turn on the Glue job's Job metrics option and review the CloudWatch metrics that are published for each executor.

  • Increase the job's maximum DPUs and monitor whether the failures stop.

  • Enable autoscaling on the underlying EMR cluster that AWS Glue provisions for the job.

AWS Certified Data Engineer Associate DEA-C01
Data Operations and Support
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