Google Exam Professional Machine Learning Engineer Topic 1 Question 61 Discussion

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

Question #: 61
Topic #: 1

[All Professional Machine Learning Engineer Questions]

You are training models in Vertex Al by using data that spans across multiple Google Cloud Projects You need to find track, and compare the performance of the different versions of your models Which Google Cloud services should you include in your ML workflow?

ADataplex. Vertex Al Feature Store and Vertex Al TensorBoard

BVertex Al Pipelines, Vertex Al Feature Store, and Vertex Al Experiments

CDataplex. Vertex Al Experiments, and Vertex Al ML Metadata

DVertex Al Pipelines: Vertex Al Experiments and Vertex Al Metadata

Show Suggested Answer

Suggested Answer: A

by Elly at Mar 21, 2023, 07:53 PM

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Hailey

9 days ago

Hmm, I think option B is the way to go. Vertex AI Pipelines, Feature Store, and Experiments seem like a comprehensive solution for tracking and comparing model performance across multiple projects.

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