1Z0-1127-25 OCI Generative AI Service Practice Question
A machine learning engineer is preparing a dataset for fine-tuning a model in OCI Generative AI. The dataset consists of customer support conversations with questions and desired answers. 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
✓
JSONL file with 'prompt' and 'completion' fields per line
OCI Generative AI expects a JSONL file where each line is a JSON object with 'prompt' and 'completion' fields. CSV, Parquet, and text files are not supported for 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.
- ✗
CSV file with columns 'input' and 'output'
Why it's wrong here
CSV is not supported; OCI requires JSONL format.
- ✗
Parquet file with 'text' and 'label' columns
Why it's wrong here
Parquet is not supported for fine-tuning data.
- ✗
Plain text file with examples separated by blank lines
Why it's wrong here
Plain text is not supported; structured JSONL is required.
- ✓
JSONL file with 'prompt' and 'completion' fields per line
Why this is correct
JSONL is the supported format with prompt/completion pairs.
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