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1Z0-1127-25 LLM Fundamentals Practice Question

An OCI Generative AI practitioner observes that a Cohere Command model generates responses with outdated information about a recent event. The model was fine-tuned six months ago. Which technique should be applied to incorporate new knowledge without retraining the model?

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

✓

Implement a RAG pipeline that indexes the latest documents into a vector store and retrieves relevant passages at query time

RAG retrieves relevant, current documents at inference time, providing up-to-date context without modifying the model parameters.

Answer analysis

Option-by-option breakdown

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

✗
Use a longer context window and include all new articles in the prompt
Why it's wrong here
Impractical for large or growing knowledge bases.
✗
Fine-tune the model again with the new data
Why it's wrong here
Fine-tuning requires significant resources and is not the intended solution here.
✓
Implement a RAG pipeline that indexes the latest documents into a vector store and retrieves relevant passages at query time
Why this is correct
RAG solves knowledge staleness without retraining.
✗
Increase the temperature parameter to encourage more creative outputs
Why it's wrong here
Temperature does not add new factual knowledge.

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1Z0-1127-25 LLM Fundamentals Practice Question

Why each option matters

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