Your question is Design a Low-Latency Ranking Service. 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).
You are deploying machine learning models for a user-facing ranking system. The product needs fast responses under heavy traffic, but model quality also matters because ranking errors directly affect user experience and business outcomes.
How do you balance latency, throughput, and accuracy when deploying models at scale?