Your question is Cloud-Native vs Custom AI Trade-offs. 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 are the trade-offs between choosing a cloud-native AI service versus a custom-built solution?
Discuss how you would make the decision for an end-to-end ML system, including model quality, data governance, integration, latency, cost, scalability, vendor lock-in, and operational ownership. Explain when a hybrid approach is appropriate and how you would validate the choice through offline evaluation, production monitoring, and staged rollout.