CCAO-F Claude Model Fundamentals Practice Question
What does the 'Temperature' parameter control when configuring a request to a Claude model?
⚠ Common exam trap
Candidates often confuse temperature with token length limits or repetition penalties, failing to recognize its role in probability distributions.
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
✓
The probability distribution of the next token selection.
Temperature is a hyperparameter that controls the randomness or 'creativity' of the model's output. A lower temperature leads to more deterministic and focused responses, while a higher temperature increases the probability of selecting less likely tokens, resulting in more varied and creative text. This setting is crucial for tuning the model behavior for specific use cases, such as coding (lower) versus creative writing (higher).
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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The speed at which the model processes the input.
Why it's wrong here
Temperature has no effect on the processing speed of the model. Performance and latency are determined by the underlying hardware, the complexity of the prompt, and the number of output tokens requested. Changing the temperature will not make your API call finish faster or slower in real-time.
- ✓
The probability distribution of the next token selection.
Why this is correct
Temperature modulates the probability distribution of the next token. By scaling the logits before the softmax operation, it flattens or sharpens the distribution. This directly impacts the randomness of the model's output, allowing users to move between highly predictable, logical responses and more diverse, creative generation styles.
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The maximum number of tokens the model can generate.
Why it's wrong here
The maximum number of tokens is controlled by the 'max_tokens' parameter, not the temperature. Temperature governs the *nature* of the content generated within those limits, not the total length or quantity of the response itself. Confusing these two parameters will lead to unexpected behavior in your applications.
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The number of concurrent requests allowed.
Why it's wrong here
Temperature is a configuration per request and does not influence rate limits or the number of concurrent connections. Concurrency is governed by the service limits assigned to your account, and you cannot influence these limits by modifying the temperature parameter in your API request payload.
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Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Anthropic exam blueprint
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