Your question is High-Traffic Real-Time 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).
Design a real-time inference pipeline for a high-traffic application.
Clarify the workload and success criteria before proposing an end-to-end design. Cover request routing, feature retrieval, model serving, autoscaling, observability, deployment, offline training, and fallback behavior. Explain how you would evaluate latency, quality, reliability, feature drift, and training-serving skew at scale.
