A transaction processing company has weekly scripted batch jobs that run on Amazon EC2 instances. The EC2 instances are in an Auto Scaling group. The number of transactions can vary, but the baseline CPU utilization that is noted on each run is at least 60%. The company needs to provision the capacity 30 minutes before the jobs run. Currently, engineers complete this task by manually modifying the Auto Scaling group parameters. The company does not have the resources to analyze the required capacity trends for the Auto Scaling group counts. The company needs an automated way to modify the Auto Scaling group’s desired capacity. Which solution will meet these requirements with the LEAST operational overhead?

A、CreateadynamicscalingpolicyfortheAutoScalinggroup.ConfigurethepolicytoscalebasedontheCPUutilizationmetric.Setthetargetvalueforthemetricto60%.
B、CreateascheduledscalingpolicyfortheAutoScalinggroup.Settheappropriatedesiredcapacity,minimumcapacity,andmaximumcapacity.Settherecurrencetoweekly.Setthestarttimeto30minutesbeforethebatchjobsrun.
C、CreateapredictivescalingpolicyfortheAutoScalinggroup.Configurethepolicytoscalebasedonforecast.SetthescalingmetrictoCPUutilization.Setthetargetvalueforthemetricto60%.Inthepolicy,settheinstancestopre-launch30minutesbeforethejobsrun.
D、CreateanAmazonEventBridgeeventtoinvokeanAWSLambdafunctionwhentheCPUutilizationmetricvaluefortheAutoScalinggroupreaches60%.ConfiguretheLambdafunctiontoincreasetheAutoScalinggroup’sdesiredcapacityandmaximumcapacityby20%.