AWS Certified AI Practitioner AIF-C01 Practice Question
To reduce the risk that a text-generation foundation model reveals customer PII, which prompt-engineering approach adds an explicit guardrail against unsafe content?
Raise the maximum token limit to allow longer, detailed answers.
Insert a negative instruction that forbids the model from outputting personal data.
Increase the temperature setting so the model produces more diverse text.
Provide a few-shot prompt containing only stylistic writing examples.
Including a negative instruction such as "Do not output personal data" directly in the prompt acts as a guardrail. It clearly tells the model what content is unacceptable and helps prevent disallowed disclosures. Raising temperature, increasing the maximum token limit, or supplying style-only few-shot examples do not explicitly restrict sensitive content and therefore do not serve as effective safety guardrails.
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AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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