Your question is Distributed Training for Large-Scale LLMs. 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 approach building a distributed training infrastructure for large-scale LLMs?
Discuss how you would clarify workload requirements, select parallelism strategies, schedule and provision GPU resources, manage data and checkpoints, and operate training reliably at scale. Cover observability, fault tolerance, reproducibility, cost controls, and training performance. Explain how you would validate the design and detect training-serving or data pipeline issues.