AWS Certified AI Practitioner AIF-C01 Practice Question
An organization is testing a text foundation model through Amazon Bedrock. Its answers occasionally leave out key facts even when the data is present in the prompt. Without changing temperature or fine-tuning, they want higher answer consistency. Which prompt engineering practice is most likely to improve response quality?
Increase the prompt length with unrelated sample text to stimulate creativity.
Randomly rephrase the prompt for each request to avoid repetitive input.
Remove all instructions so the model can infer the user's intent freely.
Add clear context and concise, explicit instructions to the prompt.
Providing the model with a short, focused prompt that includes the necessary context and explicit instructions helps it understand exactly what the user needs. This usually raises accuracy and consistency because the model does not have to guess the desired scope or level of detail. Adding unrelated text, removing instructions, or randomizing wording adds ambiguity, which typically reduces response quality.
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AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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