Your question is Lifecycle of Distributed Training Job. 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 explain the lifecycle of a distributed ML training job from ingestion to gradient synchronization at Tensorwave?