A Machine Learning Specialist works for a credit card processing company and needs to predict...

 Binary classification is a type of supervised learning problem where the goal is to predict a categorical label that has only two possible values, such as Yes or No, True or False, Positive or Negative. In this case, the label is whether a transaction is fraudulent or not, which is a binary outcome. Binary classification can be used to estimate the probability of an observation belonging to a certain class, such as the probability of a transaction being fraudulent. This can help the business to make decisions based on the risk level of each transaction. References:

Binary Classification - Amazon Machine Learning

AWS Certified Machine Learning - Specialty Sample Questions