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AWS Certified Data Engineer Associate DEA-C01 Practice Question

An organization runs nightly Apache Spark ETL jobs with Amazon EMR on EKS. Each executor pod requests 4 vCPU and 32 GiB memory, but its CPU limit is also set to 4 vCPU. CloudWatch shows frequent CpuCfsThrottledSeconds and long task runtimes, while cluster nodes have unused CPU. The team wants faster jobs without adding nodes or instances. Which action meets the requirement?

  • Remove the CPU limit or raise it well above the request so executor containers can use idle vCPU on the node.

  • Migrate the workload to AWS Glue interactive sessions, which automatically scale compute resources.

  • Replace gp3 root volumes with io2 volumes on worker nodes to increase disk throughput.

  • Enable Spark dynamic allocation so the job can launch additional executor pods during the run.

AWS Certified Data Engineer Associate DEA-C01
Data Ingestion and Transformation
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