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LLMOps for Reliable AI Applications

Module 02 Knowledge Check

5 questions. Pass mark 4 out of 5. Answer every question before checking the answer key below, then retry after reading the feedback.

1. Why must correctness and grounding be measured separately?

2. Format quality deserves its own metric because…

3. Latency should be tracked as…

4. Cost per successful task is more useful than cost per call because…

5. Optimising one dimension typically…

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Answer Key and Explanations

Check these only after attempting every question.

1. B - An answer can be factually right but unsupported by the provided sources, and vice versa

In a sourced assistant, an unsupported correct answer is still a process failure.

2. B - Downstream systems break on malformed output regardless of content quality

Schema conformance is machine-checkable and often the first thing to regress.

3. B - A distribution including p95/p99, because tail latency is what users abandon on

Averages hide the slow tail that actually damages the experience.

4. B - Retries and failed attempts are part of the true cost of getting a result

A cheap call that fails half the time is not cheap.

5. B - Trades against others - more retrieval raises cost and latency, tighter safety may raise refusals

Naming the trade-offs prevents a 'fix' in one metric quietly damaging another.

Practical Check

Apply this module to your own work: complete the module activity for *Quality Dimensions: Correctness, Grounding, Format, Safety, Latency, Cost*, then write one sentence naming what your result shows and one naming what it does not.

Strong Answer Pattern

A strong answer names the task, the evidence used, the check performed, and the remaining limitation. It avoids "proved", "guaranteed", or "always" unless the evidence genuinely supports it.