1Z0-1127-25 Using OCI Generative AI Service Practice Question
A company is fine-tuning a Llama model on OCI with dedicated AI cluster. They want to use their own training data stored in Oracle Object Storage. What must they do to ensure the fine-tuning job can access the data?
⚠ Common exam trap
A common mix-up: candidates confuse OCI pre-authenticated requests (PARs) with secure IAM-based access, not realizing that PARs are designed for temporary, user-facing sharing and lack the auditability and policy control required for automated ML workloads on OCI.
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
✓
Configure a resource principal for the cluster to read the bucket.
OCI Generative AI dedicated AI clusters require a resource principal (an IAM principal) to authenticate and authorize access to data stored in Oracle Object Storage. By configuring the cluster with a resource principal that has read permissions on the bucket, the fine-tuning job can securely read the training data without exposing credentials or using public URLs.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Upload the data to the dedicated cluster's local storage.
Why it's wrong here
Dedicated clusters do not have persistent local storage for training data.
- ✗
Use OCI Data Flow to transfer data.
Why it's wrong here
Data Flow is for data processing, not for providing access to Object Storage.
- ✓
Configure a resource principal for the cluster to read the bucket.
Why this is correct
A service principal grants the cluster permissions to access resources like Object Storage.
- ✗
Create a pre-authenticated request for the bucket.
Why it's wrong here
Pre-authenticated requests provide temporary access but are not recommended for automated jobs.
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