- A
Disable the code review assistant for security-sensitive modules
Why wrong: Disabling reduces risk but also loses productivity benefits.
- B
Include the company's secure coding guidelines in the system prompt and provide few-shot examples of secure code
This directly guides the model to follow security standards and reduces vulnerabilities without major overhead.
- C
Manually review every suggestion from the assistant before accepting it
Why wrong: Manual review defeats the purpose of speed and does not address the root cause.
- D
Switch to a smaller, less capable model that is less likely to generate complex code
Why wrong: Smaller models may still generate vulnerabilities and are less effective overall.
Question 142 of 997
Generative AI Leader Applying Generative AI in Business Practice Question
This Generative AI Leader practice question tests your understanding of applying generative ai in business. 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 company notices that their GenAI-powered code review assistant sometimes suggests code with security vulnerabilities. They want to reduce this risk without sacrificing review speed. Which approach 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
✓
Include the company's secure coding guidelines in the system prompt and provide few-shot examples of secure code
Option B is correct because it directly addresses the root cause of insecure code generation by providing the model with explicit secure coding guidelines and few-shot examples. This technique, known as in-context learning, steers the model's output toward desired behaviors without altering its architecture or speed. It effectively reduces security vulnerabilities while maintaining the assistant's rapid review capability.
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.
- ✗
Disable the code review assistant for security-sensitive modules
Why it's wrong here
Disabling reduces risk but also loses productivity benefits.
- ✓
Include the company's secure coding guidelines in the system prompt and provide few-shot examples of secure code
Why this is correct
This directly guides the model to follow security standards and reduces vulnerabilities without major overhead.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Manually review every suggestion from the assistant before accepting it
Why it's wrong here
Manual review defeats the purpose of speed and does not address the root cause.
- ✗
Switch to a smaller, less capable model that is less likely to generate complex code
Why it's wrong here
Smaller models may still generate vulnerabilities and are less effective overall.
Common exam traps
Common exam trap: answer the scenario, not the keyword
This question tests the common misconception that disabling or manually reviewing the assistant is the safest approach, when in fact the most effective solution is to guide the model's behavior through prompt engineering without sacrificing automation speed.
Detailed technical explanation
How to think about this question
In-context learning leverages the model's attention mechanism to prioritize the provided guidelines and examples over its pre-training biases. The system prompt acts as a persistent instruction set, while few-shot examples create a pattern that the model generalizes to new inputs. This approach is effective because it does not require fine-tuning, which is costly and time-consuming, and it can be updated dynamically as security policies evolve.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this Generative AI Leader question test?
Applying Generative AI in Business — This question tests Applying Generative AI in Business — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Include the company's secure coding guidelines in the system prompt and provide few-shot examples of secure code — Option B is correct because it directly addresses the root cause of insecure code generation by providing the model with explicit secure coding guidelines and few-shot examples. This technique, known as in-context learning, steers the model's output toward desired behaviors without altering its architecture or speed. It effectively reduces security vulnerabilities while maintaining the assistant's rapid review capability.
What should I do if I get this Generative AI Leader 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.
About these practice questions
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Last reviewed: Jul 4, 2026
This Generative AI Leader practice question is part of Courseiva's free Google Cloud 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 Generative AI Leader exam.
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