1Z0-1127-25 Practice Question: Building LLM Applications with RAG and Vector Search
Which TWO are required components to implement a basic RAG system using OCI services? (Choose two.)
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
✓
OCI Search with OpenSearch
A RAG system needs a way to parse documents into chunks (OCI Document Understanding) and a vector store to index and search embeddings (OCI Search with OpenSearch).
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
OCI Object Storage
Why it's wrong here
Object storage is optional; documents can be stored elsewhere.
- ✗
OCI Functions
Why it's wrong here
Functions may be used for orchestration but are not required.
- ✗
OCI Data Flow
Why it's wrong here
Data Flow is for processing pipelines, not required for basic RAG.
- ✓
OCI Search with OpenSearch
Why this is correct
Required as the vector database for similarity search.
- ✓
OCI Document Understanding
Why this is correct
Required for extracting text from documents.
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