AWS Certified Developer Associate DVA-C02 Practice Question
A developer is optimizing a Lambda function for a memory-intensive operation that processes a large dataset. The operation must complete within 3 minutes and consistency of function performance is a priority for the application's use case. Given this requirement, which configuration change to the Lambda function would most likely yield the BEST results?
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Set a longer timeout for the Lambda function
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Add additional layers to the Lambda function
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Set a concurrency limit on the Lambda function
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Increase the memory allocated to the Lambda function
Increasing the memory allocated to a Lambda function proportionally allocates more CPU power and can reduce the execution time for memory or compute-intensive operations. This approach addresses the need for consistent performance and completion of the operation within the specified timeout. Setting a concurrency limit could introduce throttling issues and is not directly related to resource allocation for a single execution. Setting a longer timeout without adjusting resources does not address the need for performance consistency and might not prevent timeouts for memory-intensive tasks. Adding layers does not inherently optimize the function's performance; they are used to manage code dependencies.
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AWS Certified Developer Associate DVA-C02
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