AWS Certified AI Practitioner AIF-C01 Practice Question
A development team maintains a table of prompts, model outputs, and observations. After every small change to a prompt, they immediately test the foundation model again and note whether the response quality improves. Which prompt-engineering best practice does this approach demonstrate?
Systematically changing a prompt, observing the model's response, and repeating the process is an example of iterative experimentation and testing. This cycle of modify-test-measure helps teams converge on a prompt that yields consistent, high-quality answers. The other options describe separate techniques-negative prompting constrains content, zero-shot prompting supplies no examples, and stop sequences control response length-but none rely on a repeated test-and-refine loop.
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AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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