AWS Certified Machine Learning Engineer - Associate MLA-C01 — Topic 1 Question 51

Question

A company has deployed an ML model that detects fraudulent credit card transactions in real time in a banking application. The model uses Amazon SageMaker Asynchronous Inference. Consumers are reporting delays in receiving the inference results. An ML engineer needs to implement a solution to improve the inference performance. The solution also must provide a notification when a deviation in model quality occurs. Which solution will meet these requirements?

Accepted Answer

Correct answer: A. The correct answer is A. Option A: Use SageMaker real-time inference for inference. Use SageMaker Model Monitor for notifications about model quality. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service. This option meets the real-time / low-latency performance requirement.

AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 51