Topic 1 Question 963
A solutions architect is designing the cloud architecture for a new stateless application that will be deployed on AWS. The solutions architect created an Amazon Machine Image (AMI) and launch template for the application.
Based on the number of jobs that need to be processed, the processing must run in parallel while adding and removing application Amazon EC2 instances as needed. The application must be loosely coupled. The job items must be durably stored.
Which solution will meet these requirements?
Create an Amazon Simple Notification Service (Amazon SNS) topic to send the jobs that need to be processed. Create an Auto Scaling group by using the launch template with the scaling policy set to add and remove EC2 instances based on CPU usage.
Create an Amazon Simple Queue Service (Amazon SQS) queue to hold the jobs that need to be processed. Create an Auto Scaling group by using the launch template with the scaling policy set to add and remove EC2 instances based on network usage.
Create an Amazon Simple Queue Service (Amazon SQS) queue to hold the jobs that need to be processed. Create an Auto Scaling group by using the launch template with the scaling policy set to add and remove EC2 instances based on the number of items in the SQS queue.
Create an Amazon Simple Notification Service (Amazon SNS) topic to send the jobs that need to be processed. Create an Auto Scaling group by using the launch template with the scaling policy set to add and remove EC2 instances based on the number of messages published to the SNS topic.
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Answer is C: SQS is your first cue then scaling based on the number of requests
👍 3dhewa2024/08/20- 正解だと思う選択肢: C
"Based on the number of jobs that need to be processed"
👍 2[Removed]2024/08/20 - 正解だと思う選択肢: C
SQS for sure, but I actually swaying between B and C. After a while, I can say now I'm sure that scaling based on network usage doesn't directly have anything to do with the number of jobs in the queue. Or worse, this could result in burst-caused downtime or other poor scaling decisions.
👍 2LeonSauveterre2025/01/06
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