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Fundamentals of Large Language ModelsmediumMultiple ChoiceObjective-mapped

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

A company uses OCI Generative AI service to power a chatbot. After deployment, the chatbot starts generating inappropriate responses. Which action should be taken first?

⚠ Common exam trap

Oracle often tests the misconception that safety issues require model retraining or parameter tuning, when in fact prompt engineering is the first-line, low-cost intervention recommended in OCI documentation.

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

Adjust the prompt template to include safety instructions.

Adjusting the prompt template to include safety instructions is the fastest and most direct way to mitigate inappropriate responses without retraining or changing model parameters. In OCI Generative AI, prompt engineering—including explicit safety guidelines—can immediately constrain the model's output behavior by providing clear guardrails in the context window.

Answer analysis

Option-by-option breakdown

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

  • Increase the temperature parameter.

    Why it's wrong here

    Higher temperature increases randomness and may exacerbate inappropriate outputs.

  • Fine-tune the model on customer-specific data.

    Why it's wrong here

    Fine-tuning on customer-specific data would adjust the model’s weights to reflect domain language, but it does not enforce safety guardrails or content filters; inappropriate responses stem from a lack of output moderation, not from insufficient domain alignment. This option is tempting because fine-tuning is the standard method for adapting a general model to specialised terminology or tone, and it would be correct if the chatbot were producing factually incorrect or off-topic answers rather than policy-violating content.

  • Switch to a larger model.

    Why it's wrong here

    Larger models may have more knowledge but can still generate inappropriate content.

  • Adjust the prompt template to include safety instructions.

    Why this is correct

    Adding safety instructions in the prompt is a quick and effective safeguard.

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