1Z0-1127-25 Deploying and Managing Generative AI on OCI Practice Question
Exhibit
Refer to the exhibit. ``` Allow group GenerativeAIAdmins to manage generative-ai-model in compartment MyCompartment Allow group GenerativeAIAdmins to manage generative-ai-endpoint in compartment MyCompartment ```
An administrator created the above IAM policies. A member of the GenerativeAIAdmins group reports they cannot invoke the model endpoint. Which permission is missing?
⚠ Common exam trap
Test-takers frequently confuse the 'generative-ai-model' resource type (used for model lifecycle management) with the 'generative-ai-endpoint' resource type (required for runtime inference), leading them to select Option B instead of C.
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
✓
Permission to use or manage generative-ai-endpoint
The error occurs because the IAM policy grants permissions for 'generative-ai-model' but not for 'generative-ai-endpoint'. Invoking a model endpoint requires the 'use' or 'manage' permission on the 'generative-ai-endpoint' resource type, as the endpoint is the runtime interface that handles inference requests. Without this permission, the API call to the endpoint is denied, even if the user has access to the underlying model.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Permission to access the compartment
Why it's wrong here
They have compartment-level access.
- ✗
Permission to manage generative-ai-model
Why it's wrong here
They already have manage on models.
- ✓
Permission to use or manage generative-ai-endpoint
Why this is correct
Only inspect is granted; need use or manage to invoke.
- ✗
Permission to read the model's training data
Why it's wrong here
Unrelated to invocation.
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