1Z0-1127-25 OCI Generative AI Service Practice Question
A developer is fine-tuning a Cohere Command R model using OCI Data Science and the T-Few technique. They have prepared a dataset. What is the required format for the training data?
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
✓
A JSONL file where each line contains a 'prompt' and a 'completion' field
OCI Generative AI fine-tuning expects a JSONL file where each line is a JSON object containing a prompt and completion (or response) field. This format pairs input with expected output for supervised fine-tuning.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
A CSV file with columns 'input' and 'output'
Why it's wrong here
CSV is not supported; JSONL is required.
- ✗
A Parquet file with 'text' and 'label' columns
Why it's wrong here
Parquet is not supported; JSONL is the required format.
- ✗
A plain text file with one conversation per line
Why it's wrong here
Plain text does not provide structured input/target pairs.
- ✓
A JSONL file where each line contains a 'prompt' and a 'completion' field
Why this is correct
The training dataset must be in JSONL format with prompt/completion pairs.
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