- A
Remove the output format specification to give the model freedom
Why wrong: Removing guidance often worsens adherence to required formats.
- B
Add a few examples of correct code for similar tasks in the prompt
Few-shot examples set a clear pattern for the model to follow, improving syntax.
- C
Increase the temperature to 0.9 for more creative solutions
Why wrong: Higher temperature increases randomness, likely leading to more syntax errors.
- D
Set the max tokens to a very high value
Why wrong: Max tokens does not affect syntax correctness.
Question 598 of 991
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 creates a prompt for a code generation task but the output often contains syntax errors. Which adjustment to the prompt is MOST likely to improve correctness?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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 few examples of correct code for similar tasks in the prompt
Adding few-shot examples of correct code directly in the prompt provides the model with explicit patterns to follow, reducing syntactic drift. This technique, known as few-shot prompting, anchors the model's output to the demonstrated structure and syntax, which is far more effective than relying on the model's internal knowledge alone for code generation tasks.
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.
- ✗
Remove the output format specification to give the model freedom
Why it's wrong here
Removing guidance often worsens adherence to required formats.
- ✓
Add a few examples of correct code for similar tasks in the prompt
Why this is correct
Few-shot examples set a clear pattern for the model to follow, improving syntax.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Increase the temperature to 0.9 for more creative solutions
Why it's wrong here
Higher temperature increases randomness, likely leading to more syntax errors.
- ✗
Set the max tokens to a very high value
Why it's wrong here
Max tokens does not affect syntax correctness.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that increasing creativity (temperature) or removing constraints improves output quality, when in fact structured examples are the most reliable method for enforcing correctness in code generation tasks.
Detailed technical explanation
How to think about this question
Few-shot prompting works by conditioning the model on input-output pairs that define the desired distribution of tokens, effectively narrowing the sampling space. In code generation, this is critical because syntax errors often arise from the model choosing improbable token sequences; examples constrain the model to follow the demonstrated grammar. A real-world scenario is generating SQL queries: without examples, the model might omit required clauses like WHERE or GROUP BY, but with a few correct examples, it reliably reproduces the correct syntax.
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 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 exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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 few examples of correct code for similar tasks in the prompt — Adding few-shot examples of correct code directly in the prompt provides the model with explicit patterns to follow, reducing syntactic drift. This technique, known as few-shot prompting, anchors the model's output to the demonstrated structure and syntax, which is far more effective than relying on the model's internal knowledge alone for code generation tasks.
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.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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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