Exam Professional Machine Learning Engineer topic 1 question 328 discussion

Actual exam question from Google's Professional Machine Learning Engineer

Question #: 328
Topic #: 1

[All Professional Machine Learning Engineer Questions]

You are a lead ML architect at a small company that is migrating from on-premises to Google Cloud. Your company has limited resources and expertise in cloud infrastructure. You want to serve your models from Google Cloud as soon as possible. You want to use a scalable, reliable, and cost-effective solution that requires no additional resources. What should you do?

A. Configure Compute Engine VMs to host your models.
B. Create a Cloud Run function to deploy your models as serverless functions.
C. Create a managed cluster on Google Kubernetes Engine (GKE), and deploy your models as containers.
D. Deploy your models on Vertex AI endpoints.

Show Suggested Answer

Suggested Answer: D 🗳️

by Duke_CT at June 20, 2025, 3:52 a.m.

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Duke_CT

2 weeks, 5 days ago

Selected Answer: C

This one seems tricky, maybe C?

upvoted 1 times

ricardovazz

6 days, 17 hours ago

why managing a whole GKE cluster, especially with limited cloud expertise. easiest option should be D

upvoted 1 times

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