1Z0-1127-25 Practice Question: Building LLM Applications with RAG and Vector Search
A team is deploying a RAG system that uses OCI Generative AI to answer questions about internal HR policies. The system must comply with data residency requirements: all data processing must stay within a specific OCI region. The team uses OCI Data Science for orchestration. Which architecture BEST meets the data residency requirement?
⚠ Common exam trap
Oracle often tests the misconception that data residency only applies to storage, not to processing—candidates may think storing data in the required region is sufficient, but the trap is that inference and embedding generation also count as data processing and must occur in the same region.
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
✓
Deploy the generative AI model endpoints within the same OCI region as the data and compute.
Deploying the generative AI model endpoints within the same OCI region as the data and compute ensures that all data processing—including inference, embedding generation, and vector search—occurs entirely within the required region, satisfying data residency requirements. OCI Generative AI endpoints are region-specific and do not automatically route requests to other regions, so co-locating all components avoids any cross-region data transfer.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Deploy the generative AI model endpoints within the same OCI region as the data and compute.
Why this is correct
All components remain in the specified region, ensuring compliance.
- ✗
Use OCI Generative AI endpoints in a different region but store data in the required region.
Why it's wrong here
Model inference may still process data outside the required region.
- ✗
Use an external third-party LLM endpoint that guarantees data residency.
Why it's wrong here
Off-premise inference violates the requirement to stay within OCI region.
- ✗
Store embeddings in a different region but run inference in the required region.
Why it's wrong here
Embeddings constitute derived data and must also stay in the required region.
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