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Google Exam Professional Machine Learning Engineer Topic 3 Question 93 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam
Question #: 93
Topic #: 3
[All Professional Machine Learning Engineer Questions]

You have recently developed a custom model for image classification by using a neural network. You need to automatically identify the values for learning rate, number of layers, and kernel size. To do this, you plan to run multiple jobs in parallel to identify the parameters that optimize performance. You want to minimize custom code development and infrastructure management. What should you do?

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Suggested Answer: D

by Luis at Nov 19, 2024, 12:38 AM

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Shay
5 days ago
Hyperparameter tuning is where it's at! Just let the AI do its thing while I sit back and enjoy my coffee. Easy peasy!
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Lucina
14 days ago
I prefer creating a custom training job using the Vertex AI Vizier SDK for parameter optimization. It gives us more control over the process.
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Galen
14 days ago
Haha, Vizier SDK for parameter optimization? Sounds like a one-way ticket to Complexity Town. I'll stick with the Vertex AI pipeline, thanks.
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Tandra
15 days ago
AuTandraL is tempting, but I want more control over my model. Gotta go with D - Vertex AI hyperparameter tuning for the win!
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Rosann
4 days ago
D) Create a Vertex AI hyperparameter tuning job.
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Eleni
16 days ago
I agree with Kaitlyn, it will help us optimize performance without much custom code development.
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Kaitlyn
22 days ago
I think we should create a Vertex AI pipeline to run different model training jobs in parallel.
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Renay
22 days ago
Vertex AI pipeline sounds like the way to go! Minimal custom code and easy infrastructure management - sign me up!
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Candida
21 hours ago
D) Create a Vertex AI hyperparameter tuning job.
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Carol
2 days ago
C) Create a custom training job that uses the Vertex AI Vizier SDK for parameter optimization.
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Carlota
5 days ago
A) Create a Vertex AI pipeline that runs different model training jobs in parallel.
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Ronny
10 days ago
B) Train an AutoML image classification model.
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Elli
12 days ago
A) Create a Vertex AI pipeline that runs different model training jobs in parallel.
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