If you want to minimize costs while using AWS SQS, what is a recommended practice?

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Enabling long polling is a recommended practice when using AWS SQS to minimize costs. Long polling allows your application to wait for messages to arrive in the queue for a specified duration rather than immediately returning an empty response when no messages are available. This reduces the number of requests made to the SQS service, as the system only checks for messages during the polling period. Consequently, by decreasing the frequency of polling requests that return no messages, long polling can significantly lower the costs associated with SQS, particularly in scenarios where message traffic is sporadic.

The other practices listed may not directly contribute to cost savings. For example, increasing the number of queues can lead to more management overhead and complexity, potentially increasing operational costs. Using increased visibility timeouts also doesn’t affect the cost of SQS; it is designed to prevent other consumers from processing the same message if the initial processing fails, but it won't reduce the number of requests made to the service. Disabling message duplication, while relevant for data integrity and processing logic, doesn't have a direct correlation with minimizing costs either. Therefore, long polling stands out as a strategic approach to optimize expenses effectively.

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