AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 295

Question

A data scientist receives a collection of insurance claim records. Each record includes a claim ID. the final outcome of the insurance claim, and the date of the final outcome. The final outcome of each claim is a selection from among 200 outcome categories. Some claim records include only partial information. However, incomplete claim records include only 3 or 4 outcome categories from among the 200 available outcome categories. The collection includes hundreds of records for each outcome category. The records are from the previous 3 years. The data scientist must create a solution to predict the number of claims that will be in each outcome category every month, several months in advance. Which solution will meet these requirements?

Accepted Answer

Correct answer: C. The correct answer is C. Option C: Perform forecasting by using claim IDs and dates to identify the expected number of claims in each outcome category every month. Amazon Forecast produces time-series forecasts using machine learning.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 295