Free PROFESSIONAL-MACHINE-LEARNING-ENGINEER Web TestEngine Demo

Q30 Single choice

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-learn, and custom libraries.

What should you do?

A
Use the AI 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 TF Job.
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.

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Web TestEngine demo