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Q28 Single choice

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?

A
Use the Cloud Natural Language API to obtain metadata to classify the incoming cases.
B
Use AutoML Natural Language to build and test a classifier. Deploy the model as a REST API.
C
Use BigQuery ML to build and test a logistic regression model to classify incoming requests. Use
BigQuery ML to perform inference.
D
Create a TensorFlow model using Google's BERT pre-trained model. Build and test a classifier, and
deploy the model using Vertex AI.

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