AWS Certified Cloud Practitioner

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:

• Lower temperature values (closer to 0) make the AI model more deterministic and consistent in its outputs
• Temperature = 0.2 will generate very similar phrasing across multiple contract generations
• This reduces randomness and ensures legal language remains standardized

Why Other Options Are Incorrect:

• Temperature = 0.9 (Option B): Higher temperature increases randomness and creativity, which is undesirable for legal contracts that require precise, consistent language
• top-p = 1.0 (Option C): This allows the model to consider all possible tokens, which can introduce variability rather than consistency
• 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.