1Z0-1127-25 Deploying and Managing Generative AI on OCI Practice Question
An organization wants to use OCI Generative AI to build a summarization tool but must ensure that all inference requests are logged for audit purposes. Which approach should they take?
⚠ Common exam trap
Oracle often tests the distinction between management-plane logging (OCI Audit) and data-plane logging (OCI Logging on the service endpoint), leading candidates to mistakenly choose OCI Audit for inference request auditing.
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
✓
Enable OCI Logging on the generative AI endpoint
OCI Logging can be enabled directly on the Generative AI endpoint to capture all inference requests and responses as logs, which can then be used for audit purposes. This is the native, recommended approach for logging API calls without introducing additional infrastructure or complexity.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Implement a custom proxy with logging
Why it's wrong here
This adds complexity and is not necessary; OCI Logging is sufficient.
- ✗
Enable OCI Audit service
Why it's wrong here
Audit logs API operations but not the payload content.
- ✓
Enable OCI Logging on the generative AI endpoint
Why this is correct
OCI Logging can capture detailed request and response data for audit.
- ✗
Use OCI Vault to store logs
Why it's wrong here
OCI Vault is for storing secrets, not logs.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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