ASSOCIATE-CLOUD-ENGINEER · Question #106
ASSOCIATE-CLOUD-ENGINEER Question #106: Real Exam Question with Answer & Explanation
The correct answer is D: Add a new, GPU-enabled, node pool to the GKE cluster. Ask your ML team to add the. Before using GPUs on GKE, keep in mind the following limitations: You cannot add GPUs to existing node pools. GPU nodes cannot be live migrated during maintenance events. https://cloud.google.com/kubernetes-engine/docs/how-to/gpus
Question
You are operating a Google Kubernetes Engine (GKE) cluster for your company where different teams can run non-production workloads. Your Machine Learning (ML) team needs access to Nvidia Tesla P100 GPUs to train their models. You want to minimize effort and cost. What should you do?
Options
- AAsk your ML team to add the "accelerator: gpu" annotation to their pod specification.
- BRecreate all the nodes of the GKE cluster to enable GPUs on all of them.
- CCreate your own Kubernetes cluster on top of Compute Engine with nodes that have GPUs.
- DAdd a new, GPU-enabled, node pool to the GKE cluster. Ask your ML team to add the
Explanation
Before using GPUs on GKE, keep in mind the following limitations: You cannot add GPUs to existing node pools. GPU nodes cannot be live migrated during maintenance events. https://cloud.google.com/kubernetes-engine/docs/how-to/gpus
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