Google Exam Professional Machine Learning Engineer Topic 11 Question 9 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam

Question #: 9
Topic #: 11

[All Professional Machine Learning Engineer Questions]

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?

AUse the Al Platform custom containers feature to receive training jobs using any framework

BConfigure Kubeflow to run on Google Kubernetes Engine and receive training jobs through TFJob

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.

Show Suggested Answer

Suggested Answer: D

by Gregoria at May 03, 2022, 06:02 AM

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