PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #61
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #61: Real Exam Question with Answer & Explanation
Sign in or unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to reveal the answer and full explanation for question #61. The question stem and answer options stay visible for context.
Question
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?
Options
- 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
Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to see the answer
You've previewed enough free PROFESSIONAL-MACHINE-LEARNING-ENGINEER questions. Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.