Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 33 discussion

Exam question from Amazon's AWS Certified Machine Learning Engineer - Associate MLA-C01

Question #: 33
Topic #: 1

[All AWS Certified Machine Learning Engineer - Associate MLA-C01 Questions]

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?

A. Use Amazon Rekognition to analyze sentiments of the chat conversations.
B. Train a Naive Bayes classifier to analyze sentiments of the chat conversations.
C. Use Amazon Comprehend to analyze sentiments of the chat conversations.
D. Use random forests to classify sentiments of the chat conversations.

Show Suggested Answer

Suggested Answer: C 🗳️

by GiorgioGss at Nov. 27, 2024, 10:08 p.m.

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Saransundar

1 month, 2 weeks ago

Selected Answer: C

Prebuilt sentiment analysis + Fast setup + NLP --Comprehend

upvoted 2 times

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GiorgioGss

1 month, 3 weeks ago

Selected Answer: C

https://docs.aws.amazon.com/comprehend/latest/dg/what-is.html

upvoted 2 times

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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 33 discussion

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Saransundar

GiorgioGss

SY0-701