Final answer:
Compute resources are assigned to an AWS Lambda function based on the memory size allocated to the function. The more memory allocated, the more compute resources will be allocated to the function. Each Lambda function runs in its own environment and scales automatically to handle the workload.
Step-by-step explanation:
Compute resources are assigned to an AWS Lambda function based on the memory size allocated to the function. The more memory allocated, the more compute resources will be allocated to the function. Each AWS Lambda function runs in its own environment and is scaled automatically to handle the incoming workload.
For example, if a Lambda function is allocated 512MB of memory, it will receive a proportional CPU power, network bandwidth, and disk I/O performance. If the memory allocation is increased to 1GB, the function will receive twice the amount of compute resources.
This allows AWS Lambda to optimize the use of compute resources, as each function is assigned resources based on its specific needs.