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Google Professional Machine Learning Engineer

▤ 280 Questions◷ 120 Minutes✓ 70% Passing Score▣ Updated: Sep 2026

Question 12 of 280

Single answer
You are designing an architecture with a serverless ML system to enrich customer support tickets with informative metadata before they are routed to a support agent. You need a set of models to predict ticket priority, predict ticket resolution time, and perform sentiment analysis to help agents make strategic decisions when they process support requests. Tickets are not expected to have any domain-specific terms or jargon. The proposed architecture has the following flow: Which endpoints should the Enrichment Cloud Functions call?
A1 = AI Platform, 2 = AI Platform, 3 = AutoML Vision
B1 = AI Platform, 2 = AI Platform, 3 = AutoML Natural Language
✓C1 = AI Platform, 2 = AI Platform, 3 = Cloud Natural Language API
D1 = Cloud Natural Language API, 2 = AI Platform, 3 = Cloud Vision API
✓
Correct Answer: C

1 = AI Platform, 2 = AI Platform, 3 = Cloud Natural Language API

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Explanation

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