An administrator tries to use the Amazon Machine Learning service to classify social media posts that mention the administrators 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

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

D. Regression model where the predicted value is the probability that the post requires a response








 

Suggested Answer: A






This question is in BDS-C00 AWS Certified Big Data – Specialty Exam
For getting AWS Certified Big Data – Specialty Certificate



Disclaimers:
The website is not related to, affiliated with, endorsed or authorized by Amazon.
Trademarks, certification & product names are used for reference only and belong to Amazon.
The website does not contain actual questions and answers from Amazon's Certification Exam.