AI0-001 AI Security Practice Question
A developer notices that an LLM sometimes provides plausible-sounding but factually incorrect information. This phenomenon is best described as:
⚠ Common exam trap
CompTIA often tests the distinction between model behavior flaws (hallucination) and security-specific attacks (prompt injection, adversarial examples), so candidates may confuse a general output error with a deliberate exploitation technique.
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
✓
Hallucination
Hallucination in LLMs refers to the generation of outputs that are coherent and plausible-sounding but factually incorrect or nonsensical. This occurs due to the model's probabilistic nature and lack of true understanding, often producing confident-sounding falsehoods when it lacks sufficient training data or context.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
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Model inversion
Why it's wrong here
Model inversion reconstructs training data from a model's outputs, so it cannot describe fabricated but fluent text. It is tempting because both involve unintended information leakage, and inversion would be the answer where an attacker recovers sensitive training records from prediction confidence scores.
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Adversarial example
Why it's wrong here
Adversarial examples are deliberately perturbed inputs that cause misclassification, whereas hallucination arises without attacker manipulation. It tempts because both yield wrong outputs, and adversarial examples would be correct where small, crafted pixel or token changes flip a model's prediction.
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Prompt injection
Why it's wrong here
Prompt injection occurs when crafted input overrides the model's instructions, not when it fabricates facts unprompted. It tempts because both produce unreliable output, and injection would be correct where user-supplied text hijacks system instructions or exfiltrates data.
- ✓
Hallucination
Why this is correct
Hallucination describes an LLM generating fluent, plausible-sounding output that is factually incorrect or unsupported by its training data. This matches the developer's observation exactly, distinguishing it from other failure modes such as bias or prompt leakage, and satisfies the stem's requirement for the correct descriptive term.
About these practice questions
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.