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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #78

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #78: Real Exam Question with Answer & Explanation

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Submitted by kevin_r· Apr 18, 2026ML pipeline operationalization

Question

You have a large corpus of written support cases that can be classified into 3 separate categories: Technical Support, Billing Support, or Other Issues. You need to quickly build, test, and deploy a service that will automatically classify future written requests into one of the categories. How should you configure the pipeline?

Options

  • AUse the Cloud Natural Language API to obtain metadata to classify the incoming cases.
  • BUse AutoML Natural Language to build and test a classifier. Deploy the model as a REST API.
  • CUse BigQuery ML to build and test a logistic regression model to classify incoming requests. Use
  • DCreate a TensorFlow model using Google's BERT pre-trained model. Build and test a classifier,

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Topics

#Text Classification#AutoML Natural Language#Model Deployment#NLP
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