AI0-001 Implementing AI Solutions Practice Question
A company is deploying an LLM-based chatbot that must output responses in a structured JSON format for downstream processing. Which THREE prompt engineering techniques should the team use to ensure the output is valid and correctly structured? (Select three.)
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
✓
Include few-shot examples of correct JSON outputs
Option A is correct because few-shot examples of correct JSON outputs demonstrate the exact structure, key names, and formatting the model should reproduce, which strongly improves adherence to the desired schema. Option C is correct because enabling JSON mode or structured output mode in the model API constrains generation so the response is syntactically valid JSON, directly preventing malformed output. Option D is correct because defining the expected JSON schema in the system prompt gives the model explicit field names, types, and required structure to follow. Option B is not among the marked correct answers; while low temperature can improve determinism, it does not by itself guarantee valid or correctly structured JSON. Option E is not marked correct because chain-of-thought reasoning improves problem-solving but does not enforce JSON syntax or schema compliance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Include few-shot examples of correct JSON outputs
Why this is correct
Few-shot examples demonstrate the exact JSON structure, key names and nesting the model must reproduce, anchoring its output distribution to valid syntax. This satisfies the downstream parsing constraint by showing rather than merely describing the required format.
- ✓
Enable JSON mode or structured output mode in the model API
Why this is correct
JSON mode constrains decoding so the model can only emit tokens forming syntactically valid JSON, eliminating malformed braces and stray prose. This directly satisfies the requirement that responses always parse for downstream processing, rather than relying on prompt wording alone.
- ✓
Define the expected JSON schema in the system prompt
Why this is correct
Declaring the schema in the system prompt specifies required keys, types and nesting, giving the model an explicit contract to follow. This satisfies the structured-output constraint by grounding generation in the exact fields downstream processing expects.
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