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DVA-C02 · Question #727

A company hosts a data lake application on an Amazon EC2 instance. The instance runs in a VPC in the us-east-1a Availability Zone. The application uses an Amazon S3 general purpose bucket to store obj

The correct answer is D. Add retry logic to the application code to reattempt failed requests by using exponential backoff.. The "503 Slow Down" error from Amazon S3 indicates that the request rate exceeded what the bucket partition could handle at that moment. The correct solution is to add retry logic with exponential backoff so the application can gracefully handle throttling and complete all reques

Submitted by obi.ng· Mar 5, 2026Troubleshooting and Optimization

Question

A company hosts a data lake application on an Amazon EC2 instance. The instance runs in a VPC in the us-east-1a Availability Zone. The application uses an Amazon S3 general purpose bucket to store objects that are processed locally. The application normally performs several thousand GET requests to the S3 bucket per second for short periods of time. The company receives the following error notification from the application: "503 Slow Down." The company must resolve the error. Which solution will meet this requirement?

Options

  • ACreate a support case to request an increase to the GET/HEAD requests per second quota.
  • BConvert the S3 general purpose bucket to a directory bucket.
  • CRecreate the EC2 instance in the us-east-1b Availability Zone. Redeploy the application on the
  • DAdd retry logic to the application code to reattempt failed requests by using exponential backoff.

How the community answered

(26 responses)
  • A
    8% (2)
  • B
    19% (5)
  • C
    4% (1)
  • D
    69% (18)

Explanation

The "503 Slow Down" error from Amazon S3 indicates that the request rate exceeded what the bucket partition could handle at that moment. The correct solution is to add retry logic with exponential backoff so the application can gracefully handle throttling and complete all requests without failure. This resolves the issue without requiring bucket conversion or quota increases.

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