AI0-001 AI Infrastructure and Technologies Practice Question
A team is using an API from a cloud AI service to generate text. They notice that repeated requests with the same prompt return different outputs. They want consistent responses for testing. Which parameter should they adjust?
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
✓
Set the temperature to 0
Setting the temperature to 0 makes the model deterministic, producing the same output for the same input, which is ideal for testing.
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 top_p parameter to 1.0
Why it's wrong here
top_p=1.0 disables nucleus sampling, but the model may still have randomness due to temperature; it does not guarantee determinism.
- ✗
Set the frequency_penalty to 0
Why it's wrong here
Frequency penalty reduces repetition but does not affect randomness; it can still produce different outputs.
- ✗
Increase the max_tokens parameter
Why it's wrong here
max_tokens controls the length of the output, not the randomness.
- ✓
Set the temperature to 0
Why this is correct
Temperature controls randomness; a value of 0 makes the model deterministic, so the same prompt always yields the same output.
About these practice questions
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.