Prompt Engineering Techniques AIE Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A data analyst is using an AI tool to summarize quarterly reports. The first prompt 'Summarize this report' produces overly long summaries. After adding 'keep it to 3 bullet points', the summaries are too vague. What should the analyst do next in an iterative refinement process?

   • ARevise the prompt to specify the key sections to include and the desired level of detail for each bullet.
   • BRemove the length constraint and revert to the original prompt.
   • CAccept the vague summaries because the length constraint was followed.
   • DAsk the AI to 'make it more detailed' without changing other instructions.
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2. 2expert · hard

   A compliance analyst needs an AI to extract data from invoices and output it in a structured JSON format. The AI sometimes outputs extra fields or omits required ones. The analyst wants to ensure the output exactly matches the required schema. Which prompt is most effective?

   • AProvide an example JSON output and ask the AI to 'follow this format'.
   • BTell the AI to 'include all relevant information'.
   • CAsk the AI to 'output the data as JSON'.
   • DProvide the JSON schema and instruct the AI to output only the fields in the schema, with no additional fields.
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4. 3application · medium

   A developer is using an AI to generate code snippets. The first prompt 'Write a function to sort a list' returns a bubble sort, but the developer needs a quicksort for large datasets. What is the most effective next step?

   • ARefine the prompt to specify 'implement quicksort with O(n log n) average complexity and handle edge cases like empty lists'.
   • BAsk the AI to 'make the function faster' without further details.
   • CUse the bubble sort and optimize it later.
   • DSwitch to a different programming language.
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5. 4application · medium

   A user wants an AI to translate technical documentation from English to Spanish. The prompt 'Translate this document' produces translations that are too literal and miss technical nuances. What should the user add to the prompt to improve translation quality?

   • ATell the AI to 'translate word for word'.
   • BRemove the word 'technical' from the prompt.
   • CSpecify the target audience and instruct the AI to use industry-standard terminology.
   • DAsk the AI to 'translate naturally'.
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6. 5application · medium

   A legal assistant wants an AI to extract contract clauses and classify them as 'compliant' or 'non-compliant' based on a set of regulations. The assistant has a few correctly classified examples. Which prompt strategy is most effective?

   • AAsk the AI to classify the clause using its general knowledge of regulations.
   • BProvide two examples of clauses with their correct classifications, then ask the AI to classify the new clause.
   • CList all possible clause types and ask the AI to choose.
   • DTell the AI to be very careful and accurate.
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