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Fundamentals of Large Language ModelseasyMultiple ChoiceObjective-mapped

1Z0-1127-25 Fundamentals of Large Language Models Practice Question

An organization wants to use an LLM to summarize legal documents. Which consideration is most important for ensuring accurate summaries?

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

Fine-tune the model on a curated legal corpus

Legal documents require precise understanding, so fine-tuning on legal data is critical. Option B is wrong because larger models don't guarantee domain accuracy. Option C is wrong because pre-training from scratch is expensive and unnecessary. Option D is wrong because zero-shot may miss legal nuances.

Answer analysis

Option-by-option breakdown

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

  • Fine-tune the model on a curated legal corpus

    Why this is correct

    Domain-specific fine-tuning teaches the model legal terminology and reasoning.

  • Use the largest available general-purpose model

    Why it's wrong here

    Size alone doesn't ensure domain expertise.

  • Rely on zero-shot summarization with careful prompting

    Why it's wrong here

    Zero-shot may miss critical legal details.

  • Pre-train a new model from scratch on legal texts

    Why it's wrong here

    Pre-training from scratch is resource-intensive and seldom needed.

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