MLS-C01 · Question #172
MLS-C01 Question #172: Real Exam Question with Answer & Explanation
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Question
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?
Options
- AAdd the unrecognized words in the enumeration values list as new values in the slot type.
- BCreate a new custom slot type, add the unrecognized words to this slot type as enumeration
- CUse the AMAZON.SearchQuery built-in slot types for custom searches in the database.
- DAdd the unrecognized words as synonyms in the custom slot type.
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