1Z0-1127-25 LangChain and AI Application Development Practice Question
An organization needs to implement a RAG application with Oracle AI Vector Search but has strict latency requirements. They have millions of vectors. Which index type is likely to provide the best search speed while maintaining reasonable recall?
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
✓
IVF (Inverted File) index
IVF (Inverted File) partitions the vector space into clusters, reducing search scope. It typically offers faster search than exhaustive search and good recall, especially for large datasets. HNSW may also be fast but can have higher memory usage. BTREE is for scalar data. Exhaustive search is too slow.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
No index, relying on the VECTOR data type only
Why it's wrong here
Without an index, similarity search is exhaustive and will be slow for large datasets.
- ✓
IVF (Inverted File) index
Why this is correct
IVF uses clustering to limit search to a subset of vectors, offering a good trade-off between speed and recall.
- ✗
BTREE index
Why it's wrong here
BTREE is designed for scalar values, not for vector similarity search.
- ✗
Exhaustive search (no index)
Why it's wrong here
Exhaustive search compares the query against all vectors, which is too slow for millions of vectors.
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.