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Question 50 - BDS-C00 discussion

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An administrator tries to use the Amazon Machine Learning service to classify social media posts that mention the administrator's company into posts that require a response and posts that do not. The training dataset of 10,000 posts contains the details of each post including the timestamp, author, and full text of the post. The administrator is missing the target labels that are required for training. Which Amazon Machine Learning model is the most appropriate for the task?

A.
Binary classification model, where the target class is the require-response post
Answers
A.
Binary classification model, where the target class is the require-response post
B.
Binary classification model, where the two classes are the require-response post and does-not-require-response
Answers
B.
Binary classification model, where the two classes are the require-response post and does-not-require-response
C.
Multi-class prediction model, with two classes: require-response post and does-not-require-response
Answers
C.
Multi-class prediction model, with two classes: require-response post and does-not-require-response
D.
Regression model where the predicted value is the probability that the post requires a response
Answers
D.
Regression model where the predicted value is the probability that the post requires a response
Suggested answer: A
asked 16/09/2024
Piotr Szwajkowski
39 questions
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