You are tasked with automating a machine learning training pipeline that processes video frames into sliced images with bounding boxes around specific objects. The pipeline must ingest and preprocess data stored in Cloud Storage, train and fine-tune hyperparameters of the object detection model, and deploy the model to an endpoint. Given the requirements to minimize cluster administration and ensure scalability, which of the following approaches is the BEST to streamline this process? Choose one correct option.