AWS Certified Cloud Practitioner
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Which of the following statements correctly describes how temperature and top-p can be used together in Amazon Bedrock?
Real Exam
Community
RRitesh
A
Both control creativity and can be tuned together for optimal output diversity
B
They control unrelated aspects — top-p affects latency only
C
Temperature controls grammar while top-p controls sentence length
D
Both reduce the model's vocabulary size
Explanation:
Explanation
In Amazon Bedrock, both temperature and top-p are parameters that control the creativity and diversity of model outputs:
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Temperature: Controls the randomness of predictions. Higher values (e.g., 0.8-1.0) make the output more random and creative, while lower values (e.g., 0.1-0.3) make it more deterministic and focused.
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Top-p (nucleus sampling): Controls the cumulative probability threshold for token selection. Lower values (e.g., 0.1) make the model more focused on high-probability tokens, while higher values (e.g., 0.9) allow more diverse token selection.
Why they work together:
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Both parameters influence the creativity and diversity of generated text
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They can be tuned together to achieve optimal balance between coherence and creativity
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Using them in combination allows fine-grained control over output quality
Why other options are incorrect:
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B: Top-p does not primarily affect latency; it affects token selection
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C: Neither parameter specifically controls grammar or sentence length
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D: These parameters don't reduce vocabulary size; they control how tokens are selected from the existing vocabulary
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