AWS Certified Cloud Practitioner
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A law firm’s Bedrock bot must produce consistent phrasing across contracts. What setup works best?
Real Exam
Community
RRitesh
A
temperature = 0.2
B
temperature = 0.9
C
top-p = 1.0
D
max-tokens = 1000
Explanation:
Explanation
For a law firm's Bedrock bot that needs to produce consistent phrasing across contracts, the best setup is temperature = 0.2.
Why Temperature = 0.2 is Correct:
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Lower temperature values (closer to 0) make the AI model more deterministic and consistent in its outputs
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Temperature = 0.2 will generate very similar phrasing across multiple contract generations
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This reduces randomness and ensures legal language remains standardized
Why Other Options Are Incorrect:
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Temperature = 0.9 (Option B): Higher temperature increases randomness and creativity, which is undesirable for legal contracts that require precise, consistent language
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top-p = 1.0 (Option C): This allows the model to consider all possible tokens, which can introduce variability rather than consistency
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max-tokens = 1000 (Option D): This only controls the maximum output length, not the consistency of phrasing
In legal contexts where precise, repeatable language is critical, low temperature settings ensure the AI generates consistent outputs across multiple contract generations.
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