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AIF-C01 · Question #236

AIF-C01 Question #236: Real Exam Question with Answer & Explanation

The correct answer is A: Configure the application to automatically set the temperature parameter to 0 when submitting the. The temperature hyperparameter directly controls the randomness of the LLM’s token sampling: setting it to 0 forces greedy decoding, yielding the most likely next token every time and thus fully deterministic, stable outputs.

Submitted by omar99· Mar 30, 2026Generative AI Model Configuration

Question

A company wants to add generative AI functionality to its application by integrating a large language model (LLM). The responses from the LLM must be as deterministic and as stable as possible. Which solution meets these requirements?

Options

  • AConfigure the application to automatically set the temperature parameter to 0 when submitting the
  • BConfigure the application to automatically add "make your response deterministic" at the end of
  • CConfigure the application to automatically add "make your response deterministic" at the
  • DConfigure the application to automatically set the temperature parameter to 1 when submitting the

Explanation

The temperature hyperparameter directly controls the randomness of the LLM’s token sampling: setting it to 0 forces greedy decoding, yielding the most likely next token every time and thus fully deterministic, stable outputs.

Topics

#LLM parameters#Temperature parameter#Deterministic LLM output#Generative AI

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