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LLMOps for Reliable AI Applications

Module 08 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. The safest place to cut cost first is usually…

2. Caching identical requests is straightforward, but caching in RAG requires care because…

3. Rate limits should be handled with…

4. Streaming improves…

5. A cost spike with stable traffic most likely indicates…

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Answer Key and Explanations

Check these only after attempting every question.

1. B - Removing unnecessary context and redundant calls

Trimming waste rarely costs quality; downgrading the model often does.

2. B - The corpus can change, so a cached answer may become stale and wrong

Cache keys must incorporate corpus version or the cache silently serves outdated facts.

3. B - Backoff with jitter and a bounded retry count

Tight retry loops amplify the incident that caused the limit in the first place.

4. B - Perceived latency - time to first token, not total time

Useful and real, but do not confuse it with making the work finish sooner.

5. B - Growing context - longer histories, more retrieved chunks, or retry loops

Context length and retries are the usual culprits and are directly measurable.

Practical Check

Apply this module to your own work: complete the module activity for *Cost, Latency, Caching, and Rate Limits*, 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.