Tech SkillsProblem Framing

Provider Model Upgrade Cut Question Explained

This worked AI Engineer Interview practice question tests Problem Framing. Try the answer first, then review why C is the best choice.

Short answer

The correct answer is C. Whether the escalation rise is caused by the swap at all, and what evidence would tell you within the rollback window..

The escalation rise is correlated with the swap, not yet attributed to it — and the old model is only available for a limited window, so the framing is 'what evidence, how fast.' Those options both accept the causal link before it's established. The key is to match the exact action in the prompt to the tool, command, or concept that performs that action directly. Here, C. Whether the escalation rise is caused by the swap at all, and what evidence would tell you within the rollback window. is the only option that satisfies the scenario without adding unrelated behavior.

The Question

A provider model upgrade cut latency 25%, but support escalations rose 18% over the following week. Public benchmarks favored the new model; your offline eval set has 40 examples. What is the real decision you have to frame?

AWhether to trust public benchmarks or your internal eval set.
BWhether latency or quality matters more to your users.
CWhether the escalation rise is caused by the swap at all, and what evidence would tell you within the rollback window.Correct
DWhether to fine-tune the new model to recover the old behavior.

Why C is correct

The escalation rise is correlated with the swap, not yet attributed to it — and the old model is only available for a limited window, so the framing is 'what evidence, how fast.' Those options both accept the causal link before it's established. The key is to match the exact action in the prompt to the tool, command, or concept that performs that action directly. Here, C. Whether the escalation rise is caused by the swap at all, and what evidence would tell you within the rollback window. is the only option that satisfies the scenario without adding unrelated behavior.

Why the other options are wrong

Option A: Whether to trust public benchmarks or your internal eval set.

Option A does not match the requirement in the prompt. The correct answer is C because The escalation rise is correlated with the swap, not yet attributed to it — and the old model is only available for a limited window, so the framing is 'what evidence, how fast.' Those options both accept the causal link before it's established.

Option B: Whether latency or quality matters more to your users.

Option B does not match the requirement in the prompt. The correct answer is C because The escalation rise is correlated with the swap, not yet attributed to it — and the old model is only available for a limited window, so the framing is 'what evidence, how fast.' Those options both accept the causal link before it's established.

Option D: Whether to fine-tune the new model to recover the old behavior.

Option D does not match the requirement in the prompt. The correct answer is C because The escalation rise is correlated with the swap, not yet attributed to it — and the old model is only available for a limited window, so the framing is 'what evidence, how fast.' Those options both accept the causal link before it's established.

Key idea: Problem Framing

Every question is a production situation an AI engineer interviewer can put to you: a failing endpoint, a cost spike, an agent that loops, an eval that disagrees with users. The best answer is almost always the one that measures or contains the problem before it changes the model or the prompt. If you miss a question, note which habit it tests: decompose before you fix, put the security boundary where the side effect happens, and trust an eval only after you check what it covers. The 12 open-ended questions with answer guides are at aijobprep.app/questions/ai-engineer.html.

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