Question 574 of 991
Prompt EngineeringhardMultiple ChoiceObjective-mapped

1Z0-1127 Prompt Engineering Practice Question

This 1Z0-1127 practice question tests your understanding of prompt engineering. 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 developer is using a Cohere Command model via OCI Generative AI. They want the model to generate responses strictly in JSON format for a specific task, but the model sometimes outputs additional explanatory text. Which prompt engineering technique is MOST effective?

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

Add a preamble: 'You are a JSON generator. Output only valid JSON. Do not include any other text.'

Using a system prompt to set the persona (e.g., 'You are a JSON generator') and including a step-by-step instruction reduces unwanted text. Cohere's preamble works like a system prompt to enforce constraints.

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.

  • Include a single example of a JSON output in the user message

    Why it's wrong here

    A single example (few-shot) helps but often not enough to eliminate all extra text; system-level constraints are stronger.

  • Set the temperature to 0.0 to make the model deterministic

    Why it's wrong here

    Low temperature reduces randomness but does not guarantee strict JSON output; the model may still include explanations.

  • Use a stop sequence '}' to force the model to stop after the JSON

    Why it's wrong here

    Stop sequences can help but are fragile; the model might not always end with '}' if it inserts text before or after.

  • Add a preamble: 'You are a JSON generator. Output only valid JSON. Do not include any other text.'

    Why this is correct

    The preamble acts as a system prompt, setting the role and strict output constraint. Combined with explicit instructions, this effectively suppresses extra text.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.

Trap categories for this question

  • Command / output trap

    Low temperature reduces randomness but does not guarantee strict JSON output; the model may still include explanations.

Detailed technical explanation

How to think about this question

This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.

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.
  • Use explanations to understand the rule behind the answer.

TExam Day Tips

  • Underline the problem statement mentally.
  • 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 practitioner preparing for the 1Z0-1127 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.

What to study next

Got this wrong? Here's your next step.

Identify which 1Z0-1127 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

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FAQ

Questions learners often ask

What does this 1Z0-1127 question test?

Prompt Engineering — This question tests Prompt Engineering — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Add a preamble: 'You are a JSON generator. Output only valid JSON. Do not include any other text.' — Using a system prompt to set the persona (e.g., 'You are a JSON generator') and including a step-by-step instruction reduces unwanted text. Cohere's preamble works like a system prompt to enforce constraints.

What should I do if I get this 1Z0-1127 question wrong?

Identify which 1Z0-1127 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

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

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