Your company operates a global e-commerce platform that utilizes TensorFlow-based deep learning models for processing Analytics-360 data to personalize user experiences. Initially, these models significantly improved user engagement and sales. However, over the past six months, the models' performance has degraded due to evolving user behavior and market trends. After manually retraining the models with updated data, performance improved, but the manual process is not scalable. Your team is now tasked with automating the model retraining and deployment process within Google Cloud, ensuring minimal downtime and cost efficiency. The solution must support continuous integration and delivery (CI/CD) for machine learning models, provide version control for models, and automate the monitoring of model performance. Which of the following solutions best meets these requirements? (Choose two correct options if option E is available, otherwise choose one.)