AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 255

Question

A financial services company wants to automate its loan approval process by building a machine learning (ML) model. Each loan data point contains credit history from a third-party data source and demographic information about the customer. Each loan approval prediction must come with a report that contains an explanation for why the customer was approved for a loan or was denied for a loan. The company will use Amazon SageMaker to build the model. Which solution will meet these requirements with the LEAST development effort?

Accepted Answer

Correct answer: C. The correct answer is C. Option C: Use SageMaker Clarify to generate the explanation report. Attach the report to the predicted results. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service. This option needs the least custom development effort.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 255