When implementing retry logic for external API calls in Integration Procedures, which technique helps avoid overwhelming the endpoint?

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Multiple Choice

When implementing retry logic for external API calls in Integration Procedures, which technique helps avoid overwhelming the endpoint?

Explanation:
Efficient retrying after a failed external call revolves around spacing out attempts so you don’t overwhelm the target service. Exponential backoff with incremental delays and a capped number of retries does this best: after each failure, you wait a bit longer before trying again, often by multiplying the delay, and you stop after a reasonable number of tries. This approach reduces the load on the endpoint during outages or transient slowness, gives the API time to recover, and still provides a path to completion if the issue is temporary. In contrast, trying again immediately with no delay can swamp the endpoint and worsen the problem; fixing a delay but allowing unlimited retries can keep hammering the service indefinitely; and never retrying means the operation will fail even if the issue is temporary.

Efficient retrying after a failed external call revolves around spacing out attempts so you don’t overwhelm the target service. Exponential backoff with incremental delays and a capped number of retries does this best: after each failure, you wait a bit longer before trying again, often by multiplying the delay, and you stop after a reasonable number of tries. This approach reduces the load on the endpoint during outages or transient slowness, gives the API time to recover, and still provides a path to completion if the issue is temporary.

In contrast, trying again immediately with no delay can swamp the endpoint and worsen the problem; fixing a delay but allowing unlimited retries can keep hammering the service indefinitely; and never retrying means the operation will fail even if the issue is temporary.

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