You manage a team of data scientists who use a cloud-based backend system to submit training jobs. This system has become very difficult to administer, and you want to use a managed service instead. The data scientists you work with use many different frameworks, including Keras, PyTorch, theano. Scikit-team, and custom libraries.
What should you do?
A . Use the Al Platform custom containers feature to receive training jobs using any framework
B . Configure Kubeflow to run on Google Kubernetes Engine and receive training jobs through TFJob
C . Create a library of VM images on Compute Engine; and publish these images on a centralized repository
D . Set up Slurm workload manager to receive jobs that can be scheduled to run on your cloud infrastructure.
Answer: D
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