How can the developer improve the function’s performance?
Increase the function’s CPU core count.
Increase the function’s memory.
Increase the function’s reserved concurrency.
Increase the function’s timeout.
Explanations:
AWS Lambda does not allow direct control over the CPU core count. Instead, CPU allocation is indirectly related to the amount of memory allocated. Therefore, simply increasing the CPU core count is not a valid option for improving performance.
In AWS Lambda, increasing the function’s memory allocation also increases the CPU resources allocated to the function. This means that for CPU-bound functions, increasing memory can significantly improve performance and reduce response time.
Reserved concurrency controls the number of concurrent instances of a Lambda function that can run simultaneously but does not directly impact the performance of an individual invocation. It may help manage load but won’t improve the speed of execution for a single CPU-bound function.
Increasing the function’s timeout allows the function to run longer before timing out but does not enhance its performance. For CPU-bound functions, the focus should be on optimizing execution speed rather than extending the execution time.
I infer that the answer is:
Increase the function’s memory.