Your question is High-Throughput Real-Time Ingestion. 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).
How would you design a system to handle high-throughput, real-time data ingestion?
Explain the architecture, partitioning strategy, durability guarantees, backpressure behavior, and how machine learning could detect anomalous or malformed events without violating latency requirements. Cover both online processing and offline replay, along with monitoring, failure recovery, and training-serving consistency.
