Your question is Capacity Planning in Cloud. 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).
What strategies do you use for effective capacity planning in cloud environments?
Discuss how you would plan capacity for an end-to-end ML workload, including data processing, model training, online inference, batch inference, storage, and network dependencies. Explain how you would balance reliability, latency, utilization, cost, forecasting uncertainty, and operational risk using AWS services where appropriate.