AWS Certified Machine Learning Engineer - Associate MLA-C01 — Topic 1 Question 231

Question

An ML engineer uses A/B testing to dynamically select recommendation models. The models are deployed on Amazon SageMaker AI endpoints. The ML engineer needs to monitor system metrics such as latency, call volume, and HTTP status codes when the endpoints are invoked. Which solution will meet these requirements with the LEAST operational overhead?

Accepted Answer

Correct answer: B. The correct answer is B. Option B: Configure Amazon CloudWatch dashboards with AWS Lambda log processors. AWS Lambda runs code without provisioning servers and scales automatically, which minimizes operational overhead. Amazon RDS is a managed relational database that handles patching, backups and failover. Amazon CloudWatch collects metrics, logs and alarms to monitor and react to operational health.

AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 231