1Z0-1127-25 Fundamentals of Large Language Models Practice Question
A company is deploying a large language model in a customer-facing chatbot. The model's responses must be both accurate and safe. Which combination of techniques should be employed?
⚠ Common exam trap
Oracle often tests the misconception that a single technique (like a system prompt or fine-tuning) can simultaneously guarantee both accuracy and safety, when in practice they require separate, complementary mechanisms.
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
✓
Use retrieval-augmented generation (RAG) for factual accuracy and a content safety filter for safe outputs.
RAG grounds the model's responses in a verified external knowledge base, reducing hallucinations and improving factual accuracy, while a content safety filter (e.g., a classifier or guardrail) actively blocks toxic or unsafe outputs before they reach the user. This combination addresses both accuracy and safety independently, unlike a single system prompt which is easily bypassed.
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 only a system prompt instructing the model to be accurate and safe.
Why it's wrong here
System prompts alone are often insufficient to guarantee safety and accuracy.
- ✓
Use retrieval-augmented generation (RAG) for factual accuracy and a content safety filter for safe outputs.
Why this is correct
RAG improves accuracy; safety filter ensures safety.
- ✗
Use a high temperature for creativity and a safety classifier for blocking toxic outputs.
Why it's wrong here
High temperature can reduce accuracy.
- ✗
Fine-tune the model on all historical chat logs and use a high temperature.
Why it's wrong here
Historical chat logs may contain biases and safety issues.
Go deeper
Related to this question
About these practice questions
This 1Z0-1127-25 question is part of Courseiva's 768-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam 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.