谷歌助理云工程师(ACE)考试真题（81-100）

Question 81

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?

A. Ask your ML team to add the ג€accelerator: gpuג€ annotation to their pod specification.

B. Recreate all the nodes of the GKE cluster to enable GPUs on all of them.

C. Create your own Kubernetes cluster on top of Compute Engine with nodes that have GPUs. Dedicate this cluster to your ML team.

D. Add a new, GPU-enabled, node pool to the GKE cluster. Ask your ML team to add the cloud.google.com/gke -accelerator: nvidia-tesla-p100 nodeSelector to their pod specification.

你正在为你的公司运营一个Google Kubernetes Engine (GKE)集群，不同的团队可以运行非生产性的工作负载。你的机器学习(ML)团队需要使用Nvidia Tesla P100 GPU来训练他们的模型。你想尽量减少工作和成本。你应该怎么做？

A. 要求你的ML团队将 "加速器