1Z0-1127-25 OCI Generative AI Service Practice Question
A financial services firm needs to ensure that only members of the 'DataScientists' group can use OCI Generative AI resources in the 'prod' compartment. Which IAM policy statement should be applied?
⚠ Common exam trap
Watch out — candidates often confuse the generic 'ai-services' resource type (which exists for other AI services like OCI AI Vision or OCI Language) with the specific 'genai-family' resource type required for OCI Generative AI, leading them to select Option B.
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
✓
Allow group DataScientists to manage genai-family in compartment prod
The 'manage' verb on the 'genai-family' resource type grants full access (including use) to OCI Generative AI resources, and scoping the policy to 'compartment prod' restricts the permission to only that compartment. The requirement is to allow the 'DataScientists' group to use (which implies manage-level access for creating and running inference jobs) Generative AI resources specifically in the 'prod' compartment, not the entire tenancy.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Allow group DataScientists to manage genai-family in tenancy
Why it's wrong here
This gives access across the entire tenancy, not just the specified compartment, violating the requirement.
- ✗
Allow group DataScientists to use ai-services in compartment prod
Why it's wrong here
ai-services is not the correct resource family for GenAI; the correct family is genai-family.
- ✓
Allow group DataScientists to manage genai-family in compartment prod
Why this is correct
This policy grants the group access to all GenAI resources in the prod compartment.
- ✗
Allow group DataScientists to read genai-family in compartment prod
Why it's wrong here
Read access is insufficient for using the service (e.g., calling inference endpoints).
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