Quiz: AI Engineering Capstone

5 questionsNo time limitPass: 60%+10 XP on first pass

Plan and build a complete AI project — a campus help-desk assistant with RAG, tools, guardrails and evaluation — then revise the AI engineering interview questions asked for LLM, GenAI and AI developer roles.

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Question 1
In the capstone, what should happen when a logged-out user asks "What is my attendance?"
Look up a random studentAsk them to log in before using the attendance toolAnswer from the handbookCreate a ticket
Question 2
Which belongs in the project README to impress interviewers?
Only screenshotsEvaluation results with numbers, architecture, limits and costThe API keyA list of every library installed
Question 3
When should you consider fine-tuning?
Rarely first — after prompting and RAG, for narrow style or format needsAlways, before writing any promptTo add new facts every weekTo fix prompt injection
Question 4
Why start with a rule-based router?
Models can't route questionsIt's cheap and predictable, and your eval set can later prove whether a model does betterRules never make mistakesIt removes the need for testing
Question 5
What is the best answer to "how do you reduce hallucinations?"
"Use a bigger model.""Tell the model not to lie.""Ground answers with retrieval and tools, allow 'I don't know', cite sources, and measure with evals.""Increase max_tokens."

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