AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 151

Question

A data science team is planning to build a natural language processing (NLP) application. The application's text preprocessing stage will include part-of-speech tagging and key phase extraction. The preprocessed text will be input to a custom classification algorithm that the data science team has already written and trained using Apache MXNet. Which solution can the team build MOST quickly to meet these requirements?

Accepted Answer

Correct answer: D. The correct answer is D. Option D: Use Amazon Comprehend for the part-of-speech tagging and key phase extraction tasks. Use AWS Deep Learning Containers with Amazon SageMaker to build the custom classifier. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service. Amazon Comprehend extracts insights and entities from text using NLP.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 151