AWS Certified AI Practitioner Practice Exam

What function does Amazon SageMaker Clarify offer?

1. Integrates a Retrieval Augmented Generation (RAG) workflow

2. Monitors the quality of ML models in production

3. Documents critical details about ML models

4. Identifies potential bias during data preparation

The correct answer is: Identifies potential bias during data preparation

Amazon SageMaker Clarify is designed to help identify and mitigate bias in machine learning models, particularly during the data preparation stage. This capability is crucial as bias in data can lead to unfair or discriminatory outcomes in model predictions. By integrating tools that can analyze data for fairness and monitor model performance, SageMaker Clarify enables organizations to better understand how input data may affect model outputs. It conducts assessments on training data to surface and address biases before model training begins. This proactive approach allows data scientists and machine learning practitioners to make more informed decisions and enhance the ethical deployment of AI solutions. While other functions may be relevant in the context of machine learning operations, such as monitoring model quality or documenting model details, they do not specifically target the identification of bias in the data preparation phase like SageMaker Clarify does. Therefore, the primary role of SageMaker Clarify focuses on ensuring fairness and reducing bias in machine learning workflows.