What should the solutions architect do to handle this error?

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A company provides specialized analytics services to customers.The analytics run on Amazon EC2 instances that need to be launched and terminated in response to requests from customers.A solutions architect is creating automation to manage the EC2 instances that handle customer requests.However, when the automation scripts attempt to launch many EC2 instances at the same time, a RequestLimitExceeded error frequently occurs.

What should the solutions architect do to handle this error?

Implement an exponential backoff strategy so that the API token bucket can refill.

Modify the EC2 instance launch configuration to install diagnostic tools on each instance to troubleshoot the issue.

Request an increase for API throttling quotas from the AWS Support Center.

Request an EC2 API quota increase through the Service Quotas console.

Explanations:

Implementing an exponential backoff strategy allows the automation scripts to wait and retry launching instances after encountering the RequestLimitExceeded error, giving the API time to recover and preventing further throttling.

Modifying the EC2 instance launch configuration to install diagnostic tools does not address the API throttling issue; it focuses on post-launch diagnostics rather than managing request limits.

While requesting an increase for API throttling quotas might be beneficial, it is not a direct solution to handle the immediate RequestLimitExceeded error encountered during high-volume requests.

Requesting an EC2 API quota increase through the Service Quotas console could help in the long term but does not provide an immediate workaround for the current issue of hitting request limits.

2025-10-21

1 Comment

  1. Danielle
    Author

    I surmise that the answer is:
    Implement an exponential backoff strategy so that the API token bucket can refill.

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