Your question is Model Training and Deployment Bottlenecks. 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).
What were the main bottlenecks you encountered during model training or deployment, and how did you resolve them?
Explain one specific example from your experience, distinguishing whether the constraint involved data preparation, compute, experimentation, inference latency, reliability, monitoring, or collaboration. Focus on how you diagnosed the root cause, prioritized trade-offs, involved others, and validated the solution. Be clear about your individual ownership, the result, and what you would change in retrospect.