Selecting a Lambda memory configuration that provides sufficient memory for high compute power is critical for performance-sensitive tasks such as image processing. Choosing the highest available Lambda memory configuration (10 GB) ensures the function has enough compute power to execute quickly, reducing the execution time. While other memory configurations might also allow the function to complete, performance may not be optimized, potentially leading to longer execution times and increased costs, as Lambda pricing is based on the number of requests, execution duration, and the amount of memory allocated.