- A
Deploy the model in a sandbox environment to limit its access to sensitive systems.
Why wrong: Sandboxing prevents exploitation but does not stop the model from generating vulnerable code.
- B
Implement a manual code review process after generation.
Why wrong: Code review is important but is a detection measure; it's better to prevent vulnerabilities at generation time.
- C
Add a system prompt that instructs the model to follow security best practices and avoid known vulnerabilities.
A system prompt sets expectations and can reduce the likelihood of insecure code generation.
- D
Reduce the temperature parameter to 0 to make the output deterministic.
Why wrong: Low temperature may produce repetitive code but does not inherently improve security.
AIF-C01 Applications of Foundation Models Practice Question
This AIF-C01 practice question tests your understanding of applications of foundation models. 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 is using Amazon Bedrock to generate code snippets. Developers report that the generated code sometimes contains security vulnerabilities. Which action should the team take to mitigate this risk?
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 system prompt that instructs the model to follow security best practices and avoid known vulnerabilities.
Option C is correct because adding a system prompt that instructs the model to follow security best practices and avoid known vulnerabilities directly influences the model's output at inference time. Amazon Bedrock supports system prompts that act as high-level instructions to guide the foundation model's behavior, making this a proactive, scalable mitigation that does not require manual intervention or architectural changes.
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.
- ✗
Deploy the model in a sandbox environment to limit its access to sensitive systems.
Why it's wrong here
Sandboxing prevents exploitation but does not stop the model from generating vulnerable code.
- ✗
Implement a manual code review process after generation.
Why it's wrong here
Code review is important but is a detection measure; it's better to prevent vulnerabilities at generation time.
- ✓
Add a system prompt that instructs the model to follow security best practices and avoid known vulnerabilities.
Why this is correct
A system prompt sets expectations and can reduce the likelihood of insecure code generation.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Reduce the temperature parameter to 0 to make the output deterministic.
Why it's wrong here
Low temperature may produce repetitive code but does not inherently improve security.
Common exam traps
Common exam trap: answer the scenario, not the keyword
AWS often tests the misconception that reducing temperature or isolating the environment can fix output quality issues, when in fact only prompt-level guidance directly addresses the model's generation behavior.
Detailed technical explanation
How to think about this question
System prompts in Amazon Bedrock are prepended to the user input and are part of the model's context window; they can include explicit instructions like 'Do not include SQL injection vulnerabilities' or 'Use parameterized queries.' This approach leverages the model's instruction-following capability without requiring fine-tuning, and it can be combined with prompt engineering techniques such as few-shot examples of secure code. In practice, a well-crafted system prompt can reduce the incidence of common vulnerabilities (e.g., OWASP Top 10) by up to 40-60% in code generation tasks, though it is not a complete substitute for validation.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this AIF-C01 question test?
Applications of Foundation Models — This question tests Applications of Foundation Models — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Add a system prompt that instructs the model to follow security best practices and avoid known vulnerabilities. — Option C is correct because adding a system prompt that instructs the model to follow security best practices and avoid known vulnerabilities directly influences the model's output at inference time. Amazon Bedrock supports system prompts that act as high-level instructions to guide the foundation model's behavior, making this a proactive, scalable mitigation that does not require manual intervention or architectural changes.
What should I do if I get this AIF-C01 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.
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Last reviewed: Jun 30, 2026
This AIF-C01 practice question is part of Courseiva's free Amazon Web Services 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 AIF-C01 exam.
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