Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 4 discussion

SageMaker Clarify can be used to analyze bias drift in models. By integrating this with a Lambda function, the workflow can be triggered on-demand whenever the application requires bias monitoring.

A. Yes, Clarify allows to get bias - https://docs.aws.amazon.com/sagemaker/latest/dg/clarify-configure-processing-jobs.html B. No, the built-in image sagemaker-model-monitor-analyzer provides a range of model monitoring capabilities (constraint suggestion, statistics generation, constraint validation against a baseline, and emitting Amazon CloudWatch metrics) but you need Clarify for bias C. No, Glue Data Quality doesn't analyze bias D. No, well from a Notebook you can execute pretty much everything including a Clarify Job, however notebooks are for experiments and models development not for enabling real-time application features

SageMaker Clarify is a tool designed to detect and monitor bias in datasets and models. It provides built-in capabilities for bias analysis, both pre-training (data bias) and post-training (model bias). Using AWS Lambda to invoke the job ensures automation and on-demand execution, reducing operational complexity while meeting the requirement for monitoring bias drift.

https://docs.aws.amazon.com/sagemaker/latest/dg/clarify-measure-data-bias.html