Your GKE cluster currently runs on a node pool of e2-standard-2 machines. You are deploying a new machine learning workload that requires GPUs. You cannot attach GPUs to the existing e2 instances.

Which TWO steps should you take to run this new workload on the cluster? (Select TWO)

Edit the existing node pool to change the machine type to n1-standard-4.

Create a new node pool in the existing cluster using a machine type that supports GPUs (e.g., n1-standard-4) and attach GPUs.

Create a completely new GKE cluster just for the GPU workloads.

Use node selectors or node affinities in your pod deployment to schedule the ML pods onto the new GPU node pool.

Run kubectl upgrade nodes --add-gpu.