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A transaction-processing company has weekly batch jobs that run on Amazon EC2 instances in an...

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A transaction-processing company has weekly batch jobs that run on Amazon EC2 instances in an Auto Scaling group. Transaction volume varies, but CPU utilization is always at least 60% during the batch runs. Capacity must be provisioned 30 minutes before the jobs begin.

Engineers currently scale the Auto Scaling group manually. The company needs an automated solution but cannot allocate time to analyze scaling trends.

Which solution will meet these requirements with the least operational overhead?

A.

Create a dynamic scaling policy based on CPU utilization at 60%.

B.

Create a scheduled scaling policy. Set desired, minimum, and maximum capacity. Set recurrence weekly. Set the start time to 30 minutes before the jobs run.

C.

Create a predictive scaling policy that forecasts CPU usage and pre-launches instances 30 minutes before the jobs run.

D.

Create an EventBridge rule that invokes a Lambda function when CPU reaches 60%. The Lambda function increases the Auto Scaling group size by 20%.

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