AI0-001 Implementing AI Solutions Practice Question
An AI team is deploying a large language model for a customer-facing application. They need to ensure that the model's output is always in valid JSON format for downstream processing. Which prompt engineering technique should they use?
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
✓
Enable JSON mode in the model's API parameters
Structured output via JSON mode (available in many LLM APIs) constrains the model to output only valid JSON, which is critical for programmatic consumption.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Enable JSON mode in the model's API parameters
Why this is correct
JSON mode instructs the model to produce only valid JSON, ensuring downstream parsability.
- ✗
Use few-shot examples of JSON outputs in the prompt
Why it's wrong here
Few-shot examples guide but do not guarantee valid JSON; the model may still output malformed JSON.
- ✗
Post-process the output with a JSON validator and reject invalid responses
Why it's wrong here
Post-processing can catch errors but does not prevent malformed output; it also adds latency.
- ✗
Add a system prompt that says 'You are a helpful assistant.'
Why it's wrong here
A generic system prompt does not enforce output format.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.