Google Cloud Professional Machine Learning Engineer — Question 30

You work for a large technology company that wants to modernize their contact center. You have been asked to develop a solution to classify incoming calls by product so that requests can be more quickly routed to the correct support team. You have already transcribed the calls using the Speech-to-Text API. You want to minimize data preprocessing and development time. How should you build the model?

Answer options

• A. Use the AI Platform Training built-in algorithms to create a custom model.
• B. Use AutoMlL Natural Language to extract custom entities for classification.
• C. Use the Cloud Natural Language API to extract custom entities for classification.
• D. Build a custom model to identify the product keywords from the transcribed calls, and then run the keywords through a classification algorithm.

Correct answer: B

Explanation

The correct answer is B because AutoML Natural Language is specifically designed to streamline the process of entity extraction and classification with minimal setup. Option A involves more complexity with custom model creation, while C, although useful, does not provide the same level of automation for classification. Option D requires significant manual effort in developing a custom model, which contradicts the goal of minimizing development time.