You have a large corpus of written support cases that can be classified into 3...

Google Professional-Machine-Learning-Engineer Question Answer

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?

Use the Cloud Natural Language API to obtain metadata to classify the incoming cases.

Use AutoML Natural Language to build and test a classifier. Deploy the model as a REST API.

Use BigQuery ML to build and test a logistic regression model to classify incoming requests. Use BigQuery ML to perform inference.

Create a TensorFlow model using Google’s BERT pre-trained model. Build and test a classifier, and deploy the model using Vertex AI.

Google Professional-Machine-Learning-Engineer View All Questions

Google Professional-Machine-Learning-Engineer Summary

Vendor: Google
Product: Professional-Machine-Learning-Engineer
Update on: Jul 30, 2025
Questions: 285

Price: $52.5 ~~$149.99~~

Buy Now Professional-Machine-Learning-Engineer PDF + Testing Engine Pack

You recently deployed a model to a Vertex Al endpoint Your data drifts frequently so...

You work for a retail company that is using a regression model built with BigQuery...

Summer Special Sale Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: vce65

You have a large corpus of written support cases that can be classified into 3...

The Answer Is:

Explanation:

Google Professional-Machine-Learning-Engineer Summary

Payments We Accept

Contact Us