Question 518 of 1,000
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AI0-001 AI Security Practice Question

This AI0-001 practice question tests your understanding of ai security. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.

Which OWASP LLM Top 10 category describes the risk when an LLM's output is not validated and leads to server-side request forgery or remote code execution?

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 (D) is correct because it directly addresses the risk when an LLM's output is not validated or sanitized before being passed to downstream systems. This can lead to server-side request forgery (SSRF) if the output contains URLs that are fetched by the backend, or remote code execution (RCE) if the output is interpreted as code or commands. The OWASP LLM Top 10 defines this category as failing to properly handle model outputs, which can enable injection attacks beyond the LLM itself.

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.

  • Model denial of service

    Why it's wrong here

    Denial of service focuses on overwhelming the model, not output handling.

  • Sensitive information disclosure

    Why it's wrong here

    Sensitive information disclosure is about leaking data, not executing code.

  • Prompt injection

    Why it's wrong here

    Prompt injection is an input attack, not output handling.

  • Insecure output handling

    Why this is correct

    This is the correct OWASP category for risks from unvalidated LLM outputs.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Cisco often tests the distinction between input-side attacks (Prompt Injection) and output-side risks (Insecure Output Handling), so candidates may confuse the two because both involve injection-like behavior, but the key is whether the vulnerability originates from the input to the LLM or from the LLM's output to downstream systems.

Trap categories for this question

  • Command / output trap

    Denial of service focuses on overwhelming the model, not output handling.

Detailed technical explanation

How to think about this question

Under the hood, insecure output handling occurs when the LLM's generated text is passed to interpreters (e.g., shell, SQL, HTTP client) without proper escaping or validation. For example, if an LLM generates a URL like http://internal-server/admin and the application uses it in a server-side fetch without checking the host, it can trigger SSRF. Similarly, if the output is concatenated into a system command (e.g., via os.system()), an attacker could craft a prompt that causes the LLM to output malicious code like ; rm -rf /, leading to RCE. Real-world scenarios include AI-powered code assistants that execute generated code without sandboxing.

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.

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 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 (D) is correct because it directly addresses the risk when an LLM's output is not validated or sanitized before being passed to downstream systems. This can lead to server-side request forgery (SSRF) if the output contains URLs that are fetched by the backend, or remote code execution (RCE) if the output is interpreted as code or commands. The OWASP LLM Top 10 defines this category as failing to properly handle model outputs, which can enable injection attacks beyond the LLM itself.

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.

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Last reviewed: Jul 4, 2026

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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.