You work at an organization that manages a popular payment app. You built a fraudulent transaction detection model by using scikit-learn and deployed it to a Vertex AI endpoint. The endpoint is currently using 1 e2-standard-2 machine with 2 vCPUs and 8 GB of memory. You discover that traffic on the gateway fluctuates to four times more than the endpoint's capacity. You need to address this issue by using the most cost-effective approach. What should you do?

A. Re-deploy the model with a TPU accelerator. B. Change the machine type to e2-highcpu-32 with 32 vCPUs and 32 GB of memory. C. Set up a monitoring job and an alert for CPU usage. If you receive an alert, scale the vCPUs as needed. D. Increase the number of maximum replicas to 6 nodes, each with 1 e2-standard-2 machine.