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/
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)- A5% (2)
- B85% (33)
- C3% (1)
- D8% (3)
Explanation
https://aws.amazon.com/blogs/mt/enhance-cloudwatch-metrics-with-metric-math-functions/
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