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Answer: 1 = AI Platform for custom model deployment, 2 = AI Platform for another custom model, 3 = Cloud Natural Language API for sentiment analysis, 1 = Cloud Natural Language API for sentiment analysis, 2 = AutoML Natural Language for custom sentiment analysis model, 3 = AI Platform for custom model deployment
The correct answer is A because AI Platform is ideal for deploying custom models for predicting ticket priority and resolution time, and Cloud Natural Language API is best suited for sentiment analysis without the need for custom training. Option E is also correct when choosing two options, as it leverages Cloud Natural Language API for immediate sentiment analysis needs and AutoML Natural Language for scenarios requiring custom sentiment analysis models, alongside AI Platform for other custom models. This combination ensures scalability, cost-effectiveness, and compliance with data privacy regulations.
Author: LeetQuiz Editorial Team
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In designing a serverless ML system to enhance customer support tickets with relevant metadata before they are assigned to a support agent, a series of models are required to predict ticket priority, estimate ticket resolution time, and perform sentiment analysis. These models aim to equip agents with actionable insights for better decision-making. The tickets are general and do not contain domain-specific jargon. The architecture must be cost-effective, scalable, and comply with data privacy regulations. Given these constraints, which endpoints should the Enrichment Cloud Functions target? Choose the best two options if E is available, otherwise select the single best answer.
A
1 = AI Platform for custom model deployment, 2 = AI Platform for another custom model, 3 = Cloud Natural Language API for sentiment analysis
B
1 = Cloud Natural Language API for sentiment analysis, 2 = AI Platform for custom model deployment, 3 = Cloud Vision API for image analysis
C
1 = AI Platform for custom model deployment, 2 = AI Platform for another custom model, 3 = AutoML Vision for image classification
D
1 = AI Platform for custom model deployment, 2 = AI Platform for another custom model, 3 = AutoML Natural Language for sentiment analysis
E
1 = Cloud Natural Language API for sentiment analysis, 2 = AutoML Natural Language for custom sentiment analysis model, 3 = AI Platform for custom model deployment