Google Exam Professional-Machine-Learning-Engineer Topic 4 Question 78 Discussion

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

Question #: 78
Topic #: 4

[All Google 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?

ACreate a Vertex Al pipeline that runs different model training jobs in parallel.

BTrain an AutoML image classification model.

CCreate a custom training job that uses the Vertex Al Vizier SDK for parameter optimization.

DCreate a Vertex Al hyperparameter tuning job.

Show Suggested Answer

Suggested Answer: D

by Keva at May 22, 2024, 03:56 PM

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Colette

4 months ago

Wait, is Vertex AI just a fancy name for Google Cloud Platform? I'm getting flashbacks to my last cloud provider headache.

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Hyun

4 months ago

Hyperparameter tuning job, huh? Sounds like a fancy way to find the perfect settings. I'm in!

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France

3 months ago

C) Create a custom training job that uses the Vertex AI Vizier SDK for parameter optimization.

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Artie

3 months ago

B) Train an AutoML image classification model.

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Stevie

3 months ago

A) Create a Vertex AI pipeline that runs different model training jobs in parallel.

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Hubert

4 months ago

Vertex AI Vizier SDK? Sounds like a magical tool to optimize my model parameters. I'm intrigued!

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Linwood

3 months ago

B) Train an AutoML image classification model.

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Rex

3 months ago

C) Create a custom training job that uses the Vertex AI Vizier SDK for parameter optimization.

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Gilbert

3 months ago

A) Create a Vertex AI pipeline that runs different model training jobs in parallel.

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Leanna

4 months ago

I'm feeling a bit nervous about the custom code development. AutoML might be the safer option here.

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Ryan

3 months ago

B) Train an AutoML image classification model.

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Lavonna

3 months ago

A) Create a Vertex Al pipeline that runs different model training jobs in parallel.

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Carrol

3 months ago

B) Train an AutoML image classification model.

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Trina

4 months ago

A) Create a Vertex AI pipeline that runs different model training jobs in parallel.

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Meaghan

5 months ago

Vertex AI pipeline seems like the way to go. Parallel jobs and minimal infrastructure management? Sign me up!

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Paola

3 months ago

D) Hyperparameter tuning with Vertex AI could really help optimize performance.

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Emilio

3 months ago

C) Using the Vertex AI Vizier SDK for parameter optimization seems like a smart choice.

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Beth

3 months ago

A) Vertex AI pipeline sounds perfect for this task.

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Latia

3 months ago

D) Create a Vertex AI hyperparameter tuning job.

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Maryln

3 months ago

C) Create a custom training job that uses the Vertex AI Vizier SDK for parameter optimization.

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Glory

4 months ago

B) Train an AutoML image classification model.

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Joesph

4 months ago

B) Train an AutoML image classification model.

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Marge

4 months ago

A) Create a Vertex AI pipeline that runs different model training jobs in parallel.

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Precious

4 months ago

A) Create a Vertex AI pipeline that runs different model training jobs in parallel.

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