- A
Sensitive information disclosure
Why wrong: Sensitive information disclosure is about leaking data, not generating insecure code.
- B
Insecure output handling
Insecure output handling covers risks from failing to validate LLM outputs, such as generating unsafe code.
- C
Model denial of service
Why wrong: Model denial of service is about resource exhaustion, not output security.
- D
Prompt injection
Why wrong: Prompt injection focuses on input manipulation, not output validation.
Question 190 of 1,000
AI0-001 AI Security Practice Question
This AI0-001 practice question tests your understanding of ai security. 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 building an LLM-powered code assistant. They want to prevent the model from generating insecure code. Which OWASP LLM Top 10 category is most relevant to 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
✓
Insecure output handling
Insecure output handling (B) is the most relevant OWASP LLM Top 10 category because the risk is that the LLM generates insecure code, which is a direct output from the model. This category specifically addresses failures to validate, sanitize, or restrict the model's output before it is used in downstream applications, such as a code assistant. By not properly handling the generated code, the assistant could introduce vulnerabilities like SQL injection or command injection into the user's codebase.
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.
- ✗
Sensitive information disclosure
Why it's wrong here
Sensitive information disclosure is about leaking data, not generating insecure code.
- ✓
Insecure output handling
Why this is correct
Insecure output handling covers risks from failing to validate LLM outputs, such as generating unsafe code.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Model denial of service
Why it's wrong here
Model denial of service is about resource exhaustion, not output security.
- ✗
Prompt injection
Why it's wrong here
Prompt injection focuses on input manipulation, not output validation.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between input-based attacks (prompt injection) and output-based risks (insecure output handling), so candidates mistakenly choose prompt injection because they focus on how the model is manipulated rather than on the security of what the model produces.
Trap categories for this question
Command / output trap
Model denial of service is about resource exhaustion, not output security.
Detailed technical explanation
How to think about this question
Under the hood, insecure output handling in an LLM-powered code assistant means the application fails to apply context-aware output encoding or validation before presenting the generated code to the user or executing it. For example, if the model generates a code snippet that includes a shell command, the assistant should escape or sanitize that output to prevent command injection when the user copies it into a terminal. A real-world scenario is a code assistant that suggests a Python script using `os.system()` with user input; without proper output handling, the suggestion itself could lead to remote code execution if blindly used.
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 AI0-001 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.
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FAQ
Questions learners often ask
What does this AI0-001 question test?
AI Security — This question tests AI Security — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Insecure output handling — Insecure output handling (B) is the most relevant OWASP LLM Top 10 category because the risk is that the LLM generates insecure code, which is a direct output from the model. This category specifically addresses failures to validate, sanitize, or restrict the model's output before it is used in downstream applications, such as a code assistant. By not properly handling the generated code, the assistant could introduce vulnerabilities like SQL injection or command injection into the user's codebase.
What should I do if I get this AI0-001 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 AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.
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