1Z0-1127-25 OCI Generative AI Service Practice Question
An organization needs to fine-tune a Cohere Command R model for a custom domain. They have prepared a dataset in JSONL format. Which component of the fine-tuning job specifies the base model and the training dataset location?
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
✓
The fine-tuning job creation request body
The fine-tuning job creation request includes parameters such as 'baseModelId' and 'trainingDataset' (pointing to the dataset in Object Storage). The model deployment endpoint and cluster are separate steps.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The dedicated AI cluster settings
Why it's wrong here
Cluster settings are for inference, not for fine-tuning job input.
- ✗
The T-Few configuration file
Why it's wrong here
T-Few is a technique applied internally; there is no separate configuration file.
- ✓
The fine-tuning job creation request body
Why this is correct
The request body specifies base model, dataset, and other settings for the fine-tuning job.
- ✗
The model deployment endpoint configuration
Why it's wrong here
Deployment happens after fine-tuning, not during job creation.
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