Your question is Cost-Optimized ML Inference. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Given a fixed budget, how would you optimize a machine learning inference pipeline for cost without sacrificing prediction accuracy?