Prompt Engineering Techniques AIE Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   A team lead is testing an AI that generates meeting summaries. The prompt includes 'summarize decisions and action items'. The output lists decisions but omits action items. How should the team lead evaluate and refine the prompt?

   • AAccept the output and manually add action items.
   • BConclude the prompt is effective because decisions are included.
   • CSwitch to a different AI model without changing the prompt.
   • DRefine the prompt to explicitly require a separate section for action items with owner and due date.
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2. 12foundation · easy

   Which of the following prompt additions is an example of using a formatting instruction to guide the AI's response?

   • APlease answer in a friendly tone.
   • BUse simple language that a beginner can understand.
   • CBe thorough and include all details.
   • DList the steps as bullet points.
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4. 13application · medium

   A content team uses an AI to generate product descriptions. They have a rubric that checks for tone, keyword inclusion, and length. After running a prompt, they receive descriptions that are too long and miss the target keywords. What should they do to evaluate and improve the prompt?

   • ACompare the output against the rubric, identify the specific failures (length and keywords), and revise the prompt to include length limits and keyword requirements.
   • BChange the rubric to match the AI's output.
   • CAsk the AI to rewrite the descriptions without any additional guidance.
   • DAccept the output because the AI is generally correct.
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5. 14expert · hard

   A legal team wants an AI to review contracts and flag clauses that are 'unusual' or 'risky'. The team is concerned that the AI might over-flag common clauses or miss context-specific risks. They have a set of previously reviewed contracts. Which prompt strategy best balances specificity and flexibility?

   • AProvide a few examples of clauses that were flagged as risky in past contracts, and instruct the AI to flag similar clauses while explaining its reasoning.
   • BInstruct the AI to flag any clause that contains the word 'indemnity' or 'liability'.
   • CTell the AI to flag only clauses that are clearly illegal.
   • DAsk the AI to use its general knowledge of contract law to flag risky clauses.
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6. 15application · medium

   A team uses an AI to generate meeting action items. They have a checklist that requires each action item to include an owner, a deadline, and a verb. The AI's output often lacks deadlines. What is the best way to evaluate and improve the prompt?

   • ARemove the deadline requirement from the checklist.
   • BAsk the AI to 'be more complete' without specifying what is missing.
   • CAssume the AI will improve over time and keep the same prompt.
   • DReview the output against the checklist, note the missing deadlines, and revise the prompt to explicitly require 'owner, deadline, and action verb' for each item.
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