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10 questions on parts 13 to 15: agent loops with step limits, state and memory, human approval, evaluation design, judge calibration and bias, release gates, then when to fine-tune, LoRA concepts, dry-run experiments and model rights. Code reading, output prediction, debugging and design choices.
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Pass mark
You need 6 of 10 marks to pass.
Timed
You get 15 minutes. The exam submits automatically when time runs out.
10 questions, 1 mark each. Pass mark: 6. The questions mix multiple choice, code reading, output prediction, debugging and design choices; some have more than one correct answer, and some ask you to type a short answer with a reason. Code in questions is Python 3.12 with the standard library and the tutorial kit, runs offline against a fake model and invented toy data, and needs no API key, GPU or paid service. Every scenario, name and number is invented for practice. Answers are judged on engineering reasoning: use the inputs and error messages given, name the trade-off and give a decision you could defend. Model names, prices and SDK details change, so the questions test the ideas, not memorised values.
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