AWS Certified Machine Learning Engineer - Associate MLA-C01 — Topic 1 Question 161

Question

An ML engineer is setting up an Amazon SageMaker AI pipeline for an ML model. The pipeline must automatically initiate a re-training job if any data drift is detected. How should the ML engineer set up the pipeline to meet this requirement?

Accepted Answer

Correct answer: C. The correct answer is C. Option C: Use SageMaker Model Monitor to detect data drift. Use an AWS Lambda function to automate the re-training job. AWS Lambda runs code without provisioning servers and scales automatically, which minimizes operational overhead. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service.

AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 161