1Z0-1127-25 OCI Generative AI Service Practice Question
A developer is creating a fine-tuning job for a Cohere Command R model using OCI Generative AI. Which TWO of the following are required when submitting the fine-tuning job?
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
✓
Base model name (e.g., Cohere Command R)
The training dataset and the base model are mandatory inputs for a fine-tuning job. The compartment is part of the resource configuration, and the hyperparameters file is optional but not required.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Base model name (e.g., Cohere Command R)
Why this is correct
You must specify which model to fine-tune.
- ✗
A Dedicated AI Cluster ID
Why it's wrong here
Dedicated clusters are optional; shared infrastructure can be used.
- ✗
A pre-trained embedding model
Why it's wrong here
Embedding models are not used for fine-tuning generative models.
- ✓
Training dataset in JSONL format with prompt/completion pairs
Why this is correct
The training data must be provided in the required format.
- ✗
Hyperparameters file in YAML format
Why it's wrong here
Hyperparameters are optional; defaults can be used.
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