Google Exam Professional Machine Learning Engineer Topic 6 Question 83 Discussion

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

Question #: 83
Topic #: 6

[All Professional Machine Learning Engineer Questions]

You developed a Vertex Al pipeline that trains a classification model on data stored in a large BigQuery table. The pipeline has four steps, where each step is created by a Python function that uses the KubeFlow v2 API The components have the following names:

You launch your Vertex Al pipeline as the following:

You perform many model iterations by adjusting the code and parameters of the training step. You observe high costs associated with the development, particularly the data export and preprocessing steps. You need to reduce model development costs. What should you do?

AOption A

BOption B

COption C

DOption D

Show Suggested Answer

Suggested Answer: C

by Marci at Jul 15, 2024, 10:42 AM

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Bernardine

1 months ago

Wait, is this a trick question? What if the answer is actually 'All of the above' and we have to choose the most 'cost-effective' one? Guess I'll go with C just to be safe.

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