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LLM FundamentalsmediumMultiple ChoiceObjective-mapped

1Z0-1127-25 LLM Fundamentals Practice Question

Which of the following sampling strategies selects tokens based on a cumulative probability threshold from the highest probability tokens?

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

Top-p (nucleus) sampling

Top-p (nucleus) sampling cuts off the tail of the probability distribution where cumulative probability exceeds p, allowing dynamic vocabulary size.

Answer analysis

Option-by-option breakdown

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

  • Top-p (nucleus) sampling

    Why this is correct

    Top-p selects the smallest set of tokens whose cumulative probability exceeds p.

  • Top-k sampling

    Why it's wrong here

    Top-k picks from the k highest probability tokens regardless of cumulative probability.

  • Greedy decoding

    Why it's wrong here

    Greedy picks the single highest probability token every step.

  • Temperature sampling

    Why it's wrong here

    Temperature scales logits but does not use cumulative probability threshold.

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