- A
{"input": "What is OCI?", "output": "Oracle Cloud Infrastructure is a cloud computing platform."}
Why wrong: The correct field names are 'prompt' and 'completion', not 'input' and 'output'.
- B
{"prompt": "What is OCI?", "completion": "Oracle Cloud Infrastructure is a cloud computing platform."}
This is the correct JSON format with 'prompt' and 'completion' fields.
- C
{"text": "What is OCI?", "label": "Oracle Cloud Infrastructure is a cloud computing platform."}
Why wrong: Field names must be 'prompt' and 'completion'.
- D
{"question": "What is OCI?", "answer": "Oracle Cloud Infrastructure is a cloud computing platform."}
Why wrong: Field names must be 'prompt' and 'completion'.
Question 317 of 991
1Z0-1127 OCI Generative AI Service Practice Question
This 1Z0-1127 practice question tests your understanding of oci generative ai service. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A data scientist is creating a fine-tuning job in OCI Generative AI. They have prepared a JSONL dataset with prompt/completion pairs. What is the correct format for each line in the JSONL file?
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
✓
{"prompt": "What is OCI?", "completion": "Oracle Cloud Infrastructure is a cloud computing platform."}
Option B is correct because the OCI Generative AI fine-tuning service expects JSONL files where each line contains exactly the keys "prompt" and "completion". This format matches the service's internal training pipeline, which maps the prompt to the input and the completion to the expected output during supervised fine-tuning.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
{"input": "What is OCI?", "output": "Oracle Cloud Infrastructure is a cloud computing platform."}
Why it's wrong here
The correct field names are 'prompt' and 'completion', not 'input' and 'output'.
- ✓
{"prompt": "What is OCI?", "completion": "Oracle Cloud Infrastructure is a cloud computing platform."}
Why this is correct
This is the correct JSON format with 'prompt' and 'completion' fields.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
{"text": "What is OCI?", "label": "Oracle Cloud Infrastructure is a cloud computing platform."}
Why it's wrong here
Field names must be 'prompt' and 'completion'.
- ✗
{"question": "What is OCI?", "answer": "Oracle Cloud Infrastructure is a cloud computing platform."}
Why it's wrong here
Field names must be 'prompt' and 'completion'.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse the key names with those used in other AI services (like OpenAI's fine-tuning which uses "prompt" and "completion" as well, but OCI's documentation explicitly requires these exact keys, and the exam tests attention to the specific OCI schema).
Trap categories for this question
Command / output trap
The correct field names are 'prompt' and 'completion', not 'input' and 'output'.
Detailed technical explanation
How to think about this question
Under the hood, OCI Generative AI's fine-tuning service parses each JSONL line to extract the prompt and completion strings, which are then tokenized and used to compute the loss only on the completion tokens during training. A subtle behavior is that the service automatically appends an end-of-sequence token to the completion during training, so the dataset should not include it manually. In a real-world scenario, if you use incorrect key names, the service will reject the dataset with a validation error, wasting time and compute credits.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A security administrator must allow nursing staff to reach a patient records server while blocking access from the guest Wi-Fi VLAN. After applying an extended ACL, traffic is still blocked from nursing workstations. The ACL was applied outbound instead of inbound on the wrong interface. Questions like this test ACL direction and placement rules.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this 1Z0-1127 question test?
OCI Generative AI Service — This question tests OCI Generative AI Service — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: {"prompt": "What is OCI?", "completion": "Oracle Cloud Infrastructure is a cloud computing platform."} — Option B is correct because the OCI Generative AI fine-tuning service expects JSONL files where each line contains exactly the keys "prompt" and "completion". This format matches the service's internal training pipeline, which maps the prompt to the input and the completion to the expected output during supervised fine-tuning.
What should I do if I get this 1Z0-1127 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
This 1Z0-1127 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 exam.
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