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ExamsPROFESSIONAL-MACHINE-LEARNING-ENGINEERQuestions#15
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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #15

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #15: Real Exam Question with Answer & Explanation

The correct answer is B: Use AutoMlL Natural Language to extract custom entities for classification.. AutoML is appropriate to classify incoming calls by product (Custom) to be routed to the correct Cloud Natural Language API is for general case (not particular business).

Submitted by kwame.gh· Apr 18, 2026ML model development

Question

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?

Options

  • AUse the AI Platform Training built-in algorithms to create a custom model.
  • BUse AutoMlL Natural Language to extract custom entities for classification.
  • CUse the Cloud Natural Language API to extract custom entities for classification.
  • DBuild a custom model to identify the product keywords from the transcribed calls, and then run the

Explanation

AutoML is appropriate to classify incoming calls by product (Custom) to be routed to the correct Cloud Natural Language API is for general case (not particular business).

Topics

#Natural Language Processing (NLP)#AutoML#Text Classification#Google Cloud Platform (GCP) Services

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