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AI0-001 AI Concepts and Techniques Practice Question

A generative AI model is asked to 'Write a poem about AI' and returns a very short, generic response. The user wants longer, more creative outputs. Which parameter adjustment is MOST likely to help?

⚠ Common exam trap

A common misconception in the CompTIA AI exam is that increasing max tokens (or decreasing it) is the primary way to control output length, when in fact temperature and top-p are the key parameters for influencing creativity and diversity, while max tokens simply sets a hard cutoff.

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

✓

Increase the temperature parameter

Increasing the temperature parameter raises the randomness of token selection, encouraging the model to explore less probable word sequences and produce more varied, creative, and longer outputs. A low temperature (e.g., 0.1) makes the model deterministic and repetitive, often yielding short, generic responses. By increasing temperature (e.g., to 0.8 or 1.0), the model is more likely to generate diverse and expansive text, directly addressing the user's request for longer, more creative poems.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    Decrease the top-p value

    Why it's wrong here

    Decreasing top-p reduces the set of tokens considered, often making outputs less diverse.

  • ✗

    Increase the frequency penalty

    Why it's wrong here

    Frequency penalty reduces repetition, which could help with creativity, but temperature directly impacts creativity more effectively.

  • ✗

    Decrease the max tokens limit

    Why it's wrong here

    Decreasing max tokens makes the output shorter, which is opposite of what is desired.

  • ✓

    Increase the temperature parameter

    Why this is correct

    Higher temperature (e.g., 0.8-1.0) makes the model take more risks, leading to more creative and varied outputs.

About these practice questions

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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.