AWS Certified Machine Learning Engineer – Associate (MLA-C01) — Question 31

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?

Answer options

• 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.

Correct answer: C

Explanation

The correct answer is C because Amazon Comprehend is specifically designed for natural language processing tasks, including sentiment analysis, making it the most efficient choice for this scenario. The other options involve more complex setups or are not as suited for sentiment analysis as Amazon Comprehend.