The question describes a scenario involving an application using a chain of scikit-learn models to predict product pricing. The goal is to deploy this workflow, manage model versions, ensure scalability (including scaling down to zero), minimize resource usage, and reduce manual effort.
Four options are provided:
The suggested answer is C, indicating that using Vertex AI Endpoints for individual models and Cloud Run for workflow orchestration is the best approach.