An AWS Lambda function is performing many CPU-bound operations and is slower than required, creating a throughput bottleneck. What should a SysOps administrator change to improve the function’s performance?

Increasing a Lambda function’s memory allocation also proportionally increases the CPU and network bandwidth available to the function. For CPU-bound operations, this provides more processing power, directly improving performance and reducing execution time, thus alleviating the throughput bottleneck. Enabling hyperthreading is not an option configurable by users for Lambda functions; AWS manages the underlying compute environment. Disabling AWS-managed encryption would not improve performance and is a security anti-pattern. While packaging frequently used code into a custom Lambda layer can improve deployment times and code organization, it does not directly impact the runtime performance of CPU-bound operations.