MLA-C01 · Question #33
MLA-C01 Question #33: Real Exam Question with Answer & Explanation
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Question
A company has a large collection of chat recordings from customer interactions after a product release. An ML engineer needs to create an ML model to analyze the chat data. The ML engineer needs to determine the success of the product by reviewing customer sentiments about the product. Which action should the ML engineer take to complete the evaluation in the LEAST amount of time?
Options
- AUse Amazon Rekognition to analyze sentiments of the chat conversations.
- BTrain a Naive Bayes classifier to analyze sentiments of the chat conversations.
- CUse Amazon Comprehend to analyze sentiments of the chat conversations.
- DUse random forests to classify sentiments of the chat conversations.
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