In the machine learning lifecycle as Google describes it, which stage covers versioning a deployed model, watching for drift and maintaining reusable features?

Written from the published competencies and the published Generative AI Leader exam guide, which sets out four sections with approximate weightings and lists the considerations under each. Not actual exam questions, and not affiliated with or endorsed by Google Cloud.