What Vertex AI feature is essential for managing model versions and ensuring auditability?

The Vertex AI Model Registry is crucial for managing model versions and ensuring auditability, as it serves as a centralized repository for storing machine learning models along with their metadata. This feature allows teams to systematically manage various versions of their models throughout the development lifecycle. It provides capabilities such as version control, which helps track changes, manage releases, and facilitate rollbacks if necessary. Furthermore, by maintaining detailed records of each model version, including information about training datasets, hyperparameters, and performance metrics, the Model Registry enhances transparency and accountability in the model management process. This auditability is essential for compliance with industry regulations and best practices, ensuring that organizations can reliably reproduce results and maintain oversight on how models are updated or modified over time.