You are an ML Engineer working for a logistics aws video

Full Certification Question

You are an ML Engineer working for a logistics company that uses multiple machine learning models to optimize delivery routes in real-time. Each model needs to process data quickly to provide up-to-the-minute route adjustments, but the company also has strict cost constraints. You need to deploy the models in an environment where performance, cost, and latency are carefully balanced. There may be slight variations in the access frequency of the models. Any excessive costs could impact the project’s profitability. Which of the following strategies should you consider to balance the tradeoffs between performance, cost, and latency when deploying your model in Amazon SageMaker? (Select two)