1Z0-1127-25 LLM Fundamentals Practice Question
A developer is using OCI Generative AI for a question-answering system. The model frequently provides outdated information because the training data cutoff is over a year old. Which approach would most effectively address this issue?
⚠ Common exam trap
The 1Z0-1127 exam often tests the misconception that simply increasing model size or context length can solve knowledge staleness, when in fact only retrieval-based methods like RAG provide a scalable, real-time solution to keep answers current without retraining.
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 Retrieval-Augmented Generation (RAG) pipeline that retrieves up-to-date documents from an external knowledge base
Retrieval-Augmented Generation (RAG) directly addresses the problem of stale training data by dynamically retrieving current documents from an external knowledge base at inference time. This allows the model to generate answers grounded in up-to-date information without requiring retraining or a larger model, making it the most effective and practical solution for a question-answering system.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Implement a Retrieval-Augmented Generation (RAG) pipeline that retrieves up-to-date documents from an external knowledge base
Why this is correct
RAG allows the model to access current information dynamically, solving the cutoff problem.
- ✗
Increase the context window to include more of the user's prompt
Why it's wrong here
Longer context does not provide new information; it only allows more of the user input.
- ✗
Fine-tune the model on a dataset that includes recent information up to today
Why it's wrong here
Fine-tuning would require a dataset of recent data, and the model would still have a cutoff after that training; also fine-tuning is costly.
- ✗
Switch to a larger model that has a more recent knowledge cutoff
Why it's wrong here
Larger models may have a slightly later cutoff but still not real-time; the cutoff is still a fixed date.
Go deeper
Related to this question
About these practice questions
Courseiva writes every 1Z0-1127-25 question from scratch — 768 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This 1Z0-1127-25 practice question is part of Courseiva's free Oracle certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the 1Z0-1127-25 exam.