- A
Use the standard OCI Generative AI public endpoint with data encryption in transit.
Why wrong: Data still passes through Oracle's shared public endpoint, which may not meet strict data residency requirements.
- B
Use an external embedding service that complies with HIPAA in a different cloud region.
Why wrong: This violates data residency and OCI's data sovereignty policies.
- C
Hash the document text before sending to the public embedding endpoint.
Why wrong: Hashing destroys the semantic content of the text, making embeddings useless for retrieval.
- D
Provision a dedicated AI cluster in their OCI tenancy to host the embedding model.
A dedicated cluster keeps all data within the customer's tenancy, meeting data privacy and residency requirements.
Question 64 of 991
1Z0-1127 Practice Question: Building LLM Applications with RAG and Vector Search
This 1Z0-1127 practice question tests your understanding of building llm applications with rag and vector search. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A healthcare company is deploying a RAG application using OCI Generative AI and wants to ensure patient data privacy. They cannot send sensitive data to a public embedding endpoint. Which approach should they take to embed documents while maintaining data residency and security?
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
✓
Provision a dedicated AI cluster in their OCI tenancy to host the embedding model.
Option D is correct because provisioning a dedicated AI cluster in your OCI tenancy ensures that the embedding model runs entirely within your own cloud boundary, so patient data never leaves your tenancy. This approach satisfies strict data residency and security requirements by keeping sensitive data on-premises in the cloud, avoiding any public endpoint exposure. It also allows you to control encryption, network isolation, and compliance with regulations like HIPAA.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 the standard OCI Generative AI public endpoint with data encryption in transit.
Why it's wrong here
Data still passes through Oracle's shared public endpoint, which may not meet strict data residency requirements.
- ✗
Use an external embedding service that complies with HIPAA in a different cloud region.
Why it's wrong here
This violates data residency and OCI's data sovereignty policies.
- ✗
Hash the document text before sending to the public embedding endpoint.
Why it's wrong here
Hashing destroys the semantic content of the text, making embeddings useless for retrieval.
- ✓
Provision a dedicated AI cluster in their OCI tenancy to host the embedding model.
Why this is correct
A dedicated cluster keeps all data within the customer's tenancy, meeting data privacy and residency requirements.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Oracle often tests the misconception that encryption or hashing alone solves data privacy in transit, when the real requirement is keeping data within a private, dedicated infrastructure to meet strict compliance and residency mandates.
Detailed technical explanation
How to think about this question
A dedicated AI cluster in OCI uses a private endpoint with VCN integration, meaning all inference traffic stays within the OCI network and never traverses the public internet. The embedding model is hosted on dedicated GPU nodes, and you can enforce encryption at rest (AES-256) and in transit (TLS 1.3) with customer-managed keys via OCI Vault. In a real-world scenario, a healthcare provider would deploy this cluster in a compartment with strict IAM policies and network security lists to ensure only authorized applications can call the embedding endpoint.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the 1Z0-1127 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this 1Z0-1127 question test?
Building LLM Applications with RAG and Vector Search — This question tests Building LLM Applications with RAG and Vector Search — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Provision a dedicated AI cluster in their OCI tenancy to host the embedding model. — Option D is correct because provisioning a dedicated AI cluster in your OCI tenancy ensures that the embedding model runs entirely within your own cloud boundary, so patient data never leaves your tenancy. This approach satisfies strict data residency and security requirements by keeping sensitive data on-premises in the cloud, avoiding any public endpoint exposure. It also allows you to control encryption, network isolation, and compliance with regulations like HIPAA.
What should I do if I get this 1Z0-1127 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
This 1Z0-1127 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 exam.
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