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You are a machine learning engineer tasked with deploying three different models for an online retail company: a product recommendation model, a customer churn prediction model, and a dynamic pricing model. Each model has distinct operational and latency requirements. The product recommendation model requires low latency and high availability to provide instant recommendations during browsing. The customer churn prediction model is less latency-sensitive and processes data in nightly batches. The dynamic pricing model requires near-real-time updates based on changes in demand and supply. Which deployment method is best suited for each model?