Google Sample Question 1 of 27

A team needs to train a machine learning model on Google Cloud. They have a dataset of 10 TB in Cloud Storage and want to train a custom model with minimal operational overhead. What should they do?

Source: Google Cloud OFFICIAL

Official sample question published by Google Cloud. WiseOwlLearns is not affiliated with Google LLC.

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A Use BigQuery ML with a linear regression model.
B Use Vertex AI Custom Training with prebuilt containers. ✓ Correct
C Use Compute Engine instances to run a custom training loop.
D Use Google Kubernetes Engine to orchestrate the training jobs.
🦉 Explanation by WiseOwl Tutor™ — not endorsed by Google

Vertex AI Custom Training with prebuilt containers minimizes operational overhead because you don't need to manage infrastructure while still being able to run custom training code. BigQuery ML is for SQL-based models. Compute Engine and GKE require managing the underlying nodes and scaling.

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