You have a data processing application that runs on Google Kubernetes Engine (GKE). Containers need to be launched with their latest available configurations from a container registry. Your GKE nodes need to have GPUs, local SSDs, and 8 Gbps bandwidth. You want to efficiently provision the data processing infrastructure and manage the deployment process. What should you do?

A. Use Compute Engine startup scripts to pull container images, and use gcloud commands to provision the infrastructure. B. Use Cloud Build to schedule a job using Terraform build to provision the infrastructure and launch with the most current container images. C. Use GKE to autoscale containers, and use gcloud commands to provision the infrastructure. D. Use Dataflow to provision the data pipeline, and use Cloud Scheduler to run the job.