Your question is Concurrency in Distributed Systems. 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 do you handle concurrency issues in a distributed system?
Discuss the answer in the context of an end-to-end ML serving platform, including concurrent prediction requests, feature updates, model deployments, and asynchronous jobs. Explain how you would choose consistency guarantees, coordinate workers, prevent duplicate operations, and recover from partial failures. Cover observability, testing, and the tradeoffs between locking, optimistic concurrency, queues, leases, and idempotency.