Deploy two model variants behind one SageMaker endpoint, shift traffic between them, and pick the winner on real results. This runs two instances at once (about $0.11/hour combined) — tear it down right after testing. Same endpoint pattern as the previous project, now split to answer a question no offline metric can: which model actually wins with real traffic.
Running a real two-variant traffic split on SageMaker is a direct, hands-on answer to 'how would you safely roll out a new model' — a near-universal ML systems interview question.