1Z0-1127-25 Practice Question: Building LLM Applications with RAG and Vector Search
A financial firm deploys a RAG application using OCI OpenSearch. They observe that the LLM sometimes generates incorrect answers that are not supported by the retrieved documents. Which technique directly addresses this issue?
⚠ Common exam trap
Oracle often tests the misconception that prompt engineering or parameter tuning alone can solve hallucination in RAG, when in fact a dedicated verification step is required to enforce factual grounding.
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 post-generation verification step that checks if the answer is grounded in the retrieved chunks.
It directly addresses the problem of hallucination by verifying that the LLM's output is factually supported by the retrieved documents. In a RAG pipeline, the LLM may still generate unsupported content even with good retrieval; a post-generation grounding check explicitly validates each claim against the source chunks, ensuring answer fidelity.
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 more detailed system prompt instructing the model to not make up information.
Why it's wrong here
Prompts are not a reliable enforcement mechanism.
- ✗
Increase the temperature parameter of the LLM to reduce creativity.
Why it's wrong here
Higher temperature increases creativity, not reduces it.
- ✓
Implement a post-generation verification step that checks if the answer is grounded in the retrieved chunks.
Why this is correct
Directly verifies faithfulness.
- ✗
Increase the number of retrieved documents to provide more context.
Why it's wrong here
May increase hallucinations due to conflicting information.
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.