Your question is Asynchronous Streaming Pipeline Architecture. 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).
Walk me through the architecture of an asynchronous data processing pipeline using streaming frameworks like Kafka or Spark.
Explain how events are produced, partitioned, persisted, processed, and delivered to downstream systems. Cover delivery semantics, ordering, retries, replay, backpressure, schema evolution, monitoring, and how you would incorporate online or batch ML inference where appropriate. State the assumptions you would clarify before selecting infrastructure.