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LLMOps for Reliable AI Applications

Module 10 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. A release gate is…

2. Which changes should trigger the full eval suite?

3. A provider silently updating a model version means you should…

4. Canary or staged rollout is valuable because…

5. Every release should have…

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Answer Key and Explanations

Check these only after attempting every question.

1. B - A defined threshold the change must meet before it can ship

Without a stated threshold, 'the evals look fine' is an opinion.

2. B - Prompt, model, retrieval settings, corpus, and tool changes

All of these alter behaviour, often in non-obvious ways.

3. B - Pin versions where possible and re-run evals when the version moves

An unpinned dependency can change your product's behaviour with no deploy on your side.

4. B - Real-traffic problems surface on a small population before everyone is affected

Offline evals cannot reproduce the full diversity of production input.

5. B - A rollback path that can be executed quickly

The ability to undo is what makes shipping safe enough to do often.

Practical Check

Apply this module to your own work: complete the module activity for *Release Gates and Regression Testing*, 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.