Courseiva
OCI Generative AI ServicemediumMultiple ChoiceObjective-mapped

1Z0-1127-25 OCI Generative AI Service Practice Question

A data scientist is fine-tuning a model using T-Few in OCI Generative AI. They have prepared a dataset with prompt/completion pairs. Which file format is required for the training data upload?

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 with each line containing 'prompt' and 'completion' keys

OCI Generative AI fine-tuning expects training data in JSONL format with specific fields.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Plain text file with one prompt-completion pair per line separated by a tab

    Why it's wrong here

    Plain text is not a supported format for OCI GenAI fine-tuning.

  • Parquet file with a 'text' column containing concatenated prompt and completion

    Why it's wrong here

    Parquet is not the required format; JSONL with specific keys is needed.

  • CSV with columns 'input' and 'output'

    Why it's wrong here

    CSV is not the required format; JSONL is expected.

  • JSONL with each line containing 'prompt' and 'completion' keys

    Why this is correct

    The training dataset must be a JSONL file where each line is a JSON object with 'prompt' and 'completion' fields.

About these practice questions

Courseiva writes every 1Z0-1127-25 question from scratch — 768 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This 1Z0-1127-25 practice question is part of Courseiva's free Oracle certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the 1Z0-1127-25 exam.