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Google Professional Machine Learning Engineer

280 Questions120 Minutes70% Passing Score▣ Updated: Sep 2026

Question 5 of 280

Single answer
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?
AUse the AI Platform custom containers feature to receive training jobs using any framework.
BConfigure Kubeflow to run on Google Kubernetes Engine and receive training jobs through TF Job
CCreate a library of VM images on Compute Engine, and publish these images on a centralized repository.
DSet up Slurm workload manager to receive jobs that can be scheduled to run on your cloud infrastructure
Correct Answer: A

Use the AI Platform custom containers feature to receive training jobs using any framework.

Explanation

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