You are an MLOps Engineer managing diverse machine learning workloads, including real-time predictions, scheduled batch processing for weekly retraining, and hyperparameter tuning jobs. To optimize cost, reliability, and performance, which strategies should you implement using spot, on-demand, and reserved instances? (Select two)