AIF-C01 Fundamentals of Generative AI Practice Question
A company is using Amazon Bedrock to generate creative marketing copy. They want to reduce the randomness of the output while maintaining diversity. Which TWO parameters should they adjust?
⚠ Common exam trap
The AIF-C01 exam often tests the misconception that increasing top_k or top_p reduces randomness, when in fact increasing either expands the token pool and can increase randomness, while decreasing them is what reduces randomness.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Decrease the top_p value
Decreasing the temperature (Option E) reduces randomness by lowering the probability of sampling lower-ranked tokens, making the model more deterministic. Decreasing top_p (Option D) narrows the cumulative probability threshold for token selection, which also reduces randomness while still allowing some diversity within the narrowed set. Together, these parameters control the trade-off between creativity and determinism in Amazon Bedrock's text generation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the temperature
Why it's wrong here
Higher temperature increases randomness.
- ✗
Increase the max token count
Why it's wrong here
Max tokens affects output length, not randomness.
- ✗
Increase the top_k value
Why it's wrong here
Increasing top_k allows more tokens, potentially increasing randomness.
- ✓
Decrease the top_p value
Why this is correct
Lower top_p reduces the set of possible tokens, making output less random.
- ✓
Decrease the temperature
Why this is correct
Lower temperature makes output more deterministic.
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This AIF-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AIF-C01 exam.