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AWS Certified CloudOps Engineer - Associate14 / 159
Question 14 of 159
A CloudOps engineer manages an EC2 Auto Scaling group that processes long-running batch jobs. Each instance can take up to two hours to finish a job. During target-tracking scale-in events triggered by low average CPU, the ASG frequently terminates instances that are still mid-job, causing the batch work to be lost and reprocessed. The team wants scale-in to avoid terminating instances that are actively processing a job, while still allowing the group to shrink when instances become idle. What is the MOST appropriate solution?
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