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SOA-C03 · Question #144

A SysOps administrator is configuring an Auto Scaling group of Amazon EC2 instances for an application. The average CPU utilization of the instances in the Auto Scaling group must remain at…

The correct answer is D. Configure a target tracking scaling policy. Specify a target value of 40 for average CPU utilization. Target tracking scaling policies are designed to automatically maintain a specific metric at a desired target value with the least administrative effort. AWS CloudOps documentation states that target tracking works like a thermostat, continuously adjusting capacity to keep the…

Submitted by kev92· Mar 5, 2026Cost and performance optimization

Question

A SysOps administrator is configuring an Auto Scaling group of Amazon EC2 instances for an application. The average CPU utilization of the instances in the Auto Scaling group must remain at approximately 40% when the load on the application changes. Which solution will meet this requirement in the MOST operationally efficient manner?

Options

  • ACreate a scheduled scaling action. Configure the action to run at times when the application
  • BConfigure a simple scaling policy. Create an Amazon CloudWatch alarm that enters ALARM state
  • CConfigure a step scaling policy. Create an Amazon CloudWatch alarm that enters ALARM state
  • DConfigure a target tracking scaling policy. Specify a target value of 40 for average CPU utilization.

How the community answered

(23 responses)
  • A
    13% (3)
  • B
    4% (1)
  • C
    4% (1)
  • D
    78% (18)

Explanation

Target tracking scaling policies are designed to automatically maintain a specific metric at a desired target value with the least administrative effort. AWS CloudOps documentation states that target tracking works like a thermostat, continuously adjusting capacity to keep the selected metric close to the defined target. By specifying a target value of 40% average CPU utilization, the Auto Scaling group automatically scales out or in based on real-time demand without requiring manual thresholds, multiple alarms, or predefined scaling steps. This approach is fully managed by AWS and is the most operationally efficient option.

Topics

#Auto Scaling#target tracking#CPU utilization#CloudWatch

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