1Z0-1127-25 Deploying and Managing Generative AI on OCI Practice Question
Which TWO methods can be used to invoke a generative AI model deployed on OCI?
⚠ Common exam trap
Oracle often tests the distinction between management-plane actions (like using the Console or Events to trigger deployments) and data-plane actions (like invoking the model via SDK or HTTP), leading candidates to confuse OCI services that manage resources with those that perform inference.
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
✓
Sending HTTP requests to the model endpoint URL
Generative AI models deployed on OCI expose a RESTful endpoint that accepts HTTP requests (typically POST with JSON payloads) for inference. This is the standard method for programmatic access to the model, allowing integration with any HTTP client.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Using OCI Notifications service
Why it's wrong here
Notifications are for alerts, not model invocation.
- ✗
Using the OCI Console web interface
Why it's wrong here
Console is for manual testing, not automated invocation.
- ✓
Sending HTTP requests to the model endpoint URL
Why this is correct
Direct REST calls are standard.
- ✗
Using OCI Events service
Why it's wrong here
Events can trigger functions but not directly invoke model endpoints.
- ✓
Using the OCI SDK (e.g., Python, Java)
Why this is correct
SDKs provide programmatic access.
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