A company offers a food delivery service that is growing rapidly. Because of the growth, the company’s order processing system is experiencing scaling problems during peak traffic hours. The current architecture includes the following:
• A group of Amazon EC2 instances that run in an Amazon EC2 Auto Scaling group to collect orders from the application
• Another group of EC2 instances that run in an Amazon EC2 Auto Scaling group to fulfill orders The order collection process occurs quickly, but the order fulfillment process can take longer. Data must not be lost because of a scaling event. A solutions architect must ensure that the order collection process and the order fulfillment process can both scale properly during peak traffic hours. The solution must optimize utilization of the company’s AWS resources. Which solution meets these requirements?
Select one answer.
Marked answer: D
Community Discussion
Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.
Chose C1
I can understand you guy's explanation on D (the burden is on one queue only not both) but i dont understand how D imply that the metric is monitoring on on side
Chose D1
Since only the order fulfillment requires scaling capacity so D is the most suitable here.
Chose C1
both have their own queue. Instance processing order will be scale up based on the queue length that collect messages that collected by other queue.
