Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

A data engineering team runs a nightly Apache Spark ETL job on a 10-node Amazon EMR cluster. The job finishes in 40 minutes, but the cluster sits idle all day. Input volume sometimes spikes, so the job needs extra executors. The team wants to cut costs without refactoring code and must keep using Spot Instances. Which solution meets these requirements with the LEAST operational effort?

  • Replace the cluster with Amazon EMR Serverless and specify a maximum capacity large enough for peak workloads.

  • Re-platform the workload to Amazon EMR on EKS and use Karpenter to auto-scale Spot worker nodes.

  • Enable EMR managed scaling and set the cluster to terminate automatically after 30 minutes of idle time.

  • Migrate the Spark application to AWS Glue and schedule a Glue Spark job that runs on-demand workers.

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