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SOA-C02 · Question #137

A company runs a worker process on three Amazon EC2 instances. The instances are in an Auto Scaling group that is configured to use a simple scaling policy. The instances process messages from an…

The correct answer is B. Use CloudWatch to create a metric math expression to calculate the approximate number of. https://aws.amazon.com/blogs/mt/enhance-cloudwatch-metrics-with-metric-math-functions/

Submitted by chen.hong· Mar 30, 2026Reliability and Business Continuity

Question

A company runs a worker process on three Amazon EC2 instances. The instances are in an Auto Scaling group that is configured to use a simple scaling policy. The instances process messages from an Amazon Simple Queue Service (Amazon SQS) queue. Random periods of increased messages are causing a decrease in the performance of the worker process. A SysOps administrator must scale the instances to accommodate the increased number of messages. Which solution will meet these requirements?

Options

  • AUse CloudWatch to create a metric math expression to calculate the approximate age of the
  • BUse CloudWatch to create a metric math expression to calculate the approximate number of
  • CCreate an Application Load Balancer (ALB). Attach the ALB to the Auto Scaling group. Create a
  • DCreate an Application Load Balancer (ALB). Attach the ALB to the Auto Scaling group. Create a

How the community answered

(39 responses)
  • A
    5% (2)
  • B
    85% (33)
  • C
    3% (1)
  • D
    8% (3)

Explanation

https://aws.amazon.com/blogs/mt/enhance-cloudwatch-metrics-with-metric-math-functions/

Topics

#Auto Scaling#SQS metrics#CloudWatch metric math#queue-based scaling

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