You are a Data Scientist working for a retail company and you have been tasked with developing a demand forecasting model using Amazon SageMaker. The company requires the model to be highly accurate to optimize inventory levels, but you also need to consider constraints on training time and cost due to budget limitations. You have access to multiple SageMaker instance types and options like spot instances to reduce costs, but you must balance these factors against the need for a performant model. Your goal is to choose a configuration that provides an acceptable tradeoff between model performance, training time, and cost. Which of the following strategies should you consider when balancing model performance, training time, and cost in this scenario using Amazon SageMaker? (Select two)