1Z0-1127-25 Deploying and Managing Generative AI on OCI Practice Question
An organization wants to deploy a generative AI chatbot using OCI Generative AI service. The chatbot must comply with data residency requirements by ensuring that all data processing occurs within a specific geographic region. What is the best practice to achieve this?
⚠ Common exam trap
Many exam-takers confuse data residency with access control or disaster recovery, thinking that IAM policies or replication settings can enforce geographic data boundaries, when in fact only the physical placement of the compute cluster guarantees data stays within a 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
✓
Use a dedicated AI cluster in the required region
OCI Generative AI service allows you to provision a dedicated AI cluster within a specific region, ensuring all model inference and data processing remain within that geographic boundary. This dedicated cluster is isolated from other regions and complies with data residency requirements by design, as no data leaves the chosen region during processing.
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 dedicated AI cluster in the required region
Why this is correct
Dedicated AI clusters are region-specific and ensure data stays in that region.
- ✗
Enable cross-region replication for disaster recovery
Why it's wrong here
This would move data to another region, violating data residency.
- ✗
Configure a tenancy-wide policy to restrict region usage
Why it's wrong here
OCI does not have such a policy.
- ✗
Use IAM policies to block access from other regions
Why it's wrong here
IAM policies control access but not data processing location.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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