CCAO-F Using the Claude API Practice Question
When using the Claude API, which parameter should be adjusted if you want to influence the model's creativity and randomness?
⚠ Common exam trap
Candidates confuse 'temperature' with token limits or max_tokens, incorrectly thinking length parameters control output creativity and 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
✓
temperature
The 'temperature' parameter is the primary lever for controlling the stochastic nature of the model's output. By adjusting this value, you directly influence the probability distribution of the next token selection. A lower temperature makes the model more deterministic and focused, whereas a higher temperature introduces more variation, which is essential for creative writing or brainstorming tasks in AI applications.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
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max_tokens
Why it's wrong here
The max_tokens parameter defines the maximum number of tokens to generate in the response. It serves as a hard stop to prevent runaway generation or excessive costs. It has no impact on the creativity or probability of token selection during the model's inference process.
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top_p
Why it's wrong here
While top_p (nucleus sampling) also affects output diversity, temperature is the primary parameter defined in the API for controlling randomness. Top_p is often kept at its default value; modifying temperature is the standard, documented approach for users to influence the overall creative tone of the model response.
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temperature
Why this is correct
Temperature is the standard parameter used to control the randomness of the model's output. By increasing the temperature, the model becomes more exploratory, while decreasing it makes the output more predictable and focused. It is the direct control for balancing creativity versus consistency in generated responses.
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system
Why it's wrong here
The system parameter is used to provide instructions and context to the model. While the content of the system prompt can indirectly influence the model's style, it is not a parameter for controlling stochasticity or randomness in the way that temperature is mathematically designed to function.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Anthropic exam blueprint
This CCAO-F practice question is part of Courseiva's free Anthropic 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 CCAO-F exam.