Q: 13
[Modeling]
A company that runs an online library is implementing a chatbot using Amazon Lex to provide book
recommendations based on category. This intent is fulfilled by an AWS Lambda function that queries
an Amazon DynamoDB table for a list of book titles, given a particular category. For testing, there are
only three categories implemented as the custom slot types: "comedy," "adventure,” and
"documentary.”
A machine learning (ML) specialist notices that sometimes the request cannot be fulfilled because
Amazon Lex cannot understand the category spoken by users with utterances such as "funny," "fun,"
and "humor." The ML specialist needs to fix the problem without changing the Lambda code or data
in DynamoDB.
How should the ML specialist fix the problem?
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