AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 109

Question

A Data Scientist received a set of insurance records, each consisting of a record ID, the final outcome among 200 categories, and the date of the final outcome. Some partial information on claim contents is also provided, but only for a few of the 200 categories. For each outcome category, there are hundreds of records distributed over the past 3 years. The Data Scientist wants to predict how many claims to expect in each category from month to month, a few months in advance. What type of machine learning model should be used?

Accepted Answer

Correct answer: C. The correct answer is C. Option C: Forecasting using claim IDs and timestamps to identify how many claims in each category to expect from month to month. Amazon Forecast produces time-series forecasts using machine learning.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 109