Your question is Fault-Tolerant Distributed Job Scheduling. 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 fault-tolerant job scheduler for distributed model training?
Explain how jobs are submitted, queued, placed onto compute resources, monitored, checkpointed, retried, and recovered after worker, coordinator, network, or storage failures. Discuss scheduling semantics, distributed-training coordination, observability, and correctness guarantees.