1Z0-1127-25 Deploying and Managing Generative AI on OCI Practice Question
Which THREE components are essential for a production-grade generative AI deployment on OCI? (Select THREE)
⚠ Common exam trap
Oracle often tests the distinction between 'essential' components for deployment versus 'useful but optional' services, leading candidates to select OCI Vault or OCI Data Flow because they are commonly used in AI pipelines, but they are not mandatory for a production-grade deployment.
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 Logging for audit
A is correct because OCI Logging provides centralized audit logging for all API calls and resource changes in the generative AI deployment. This is essential for compliance, security monitoring, and troubleshooting in a production environment, as it captures detailed logs of model invocations, data access, and configuration changes.
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 Logging for audit
Why this is correct
Logging is critical for monitoring and compliance.
- ✗
OCI Vault for secrets
Why it's wrong here
While good practice, not strictly essential if secrets are managed elsewhere.
- ✗
OCI Data Flow for data processing
Why it's wrong here
Data Flow is for big data processing, not required for inference.
- ✓
Dedicated AI cluster
Why this is correct
Essential for hosting the model with predictable performance.
- ✓
OCI IAM policies for access control
Why this is correct
IAM policies are fundamental for securing the deployment.
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