Practices for continuously observing a model in production: automatic model updates, KPIs, security patches, versioning, performance tracking, and drift detection (when a model's behavior or accuracy degrades over time relative to new data).
In GENAI-L (Domain 3, section 3.1) the exam asks you to recognize these monitoring practices, including the role of Agent Platform's Feature Store in keeping feature consistency between training and production.
Continuous monitoring and model drift is a concept that can show up on the exam. Check the full guide to see it in context.