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Google Professional Machine Learning Engineer Exam - 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?

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Suggested Answer: D

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

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Ronald
4 months ago
A is definitely the way to go for custom setups!
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Aileen
4 months ago
C is just too much work for managing images.
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Janae
4 months ago
Wait, can Slurm really handle all those frameworks?
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Lelia
4 months ago
I disagree, B could be more efficient with Kubernetes.
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Hyun
5 months ago
A seems like the best option for flexibility with frameworks.
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Lanie
5 months ago
Setting up Slurm seems like overkill for this scenario. I feel like a managed service would be a better fit, but I can't recall the specifics.
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Stacey
5 months ago
I practiced a similar question about using custom containers before. I think option A is the best choice for flexibility with different frameworks.
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Gladys
5 months ago
I'm not entirely sure, but I think Kubeflow is more tailored for TensorFlow. Would it really handle all those other frameworks well?
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Lizbeth
5 months ago
I remember reading about managed services and how they can simplify administration. Option A sounds like it could work since it supports multiple frameworks.
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Judy
5 months ago
Invoicing seems like the most logical option to me. That's where you'd handle the actual billing and splitting of costs.
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Huey
5 months ago
Hmm, this looks like it's asking about the WebLogic Admin Console and where to find information on the Store and Forward components. I think the key is to focus on the specific components mentioned in the question.
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