- A
Hallucinations and over-reliance
Hallucinations produce false information, and over-reliance amplifies the risk.
- B
Sensitive information disclosure
Why wrong: Disclosure is about leaking private data, not making up facts.
- C
Model denial of service
Why wrong: DoS is about availability, not accuracy.
- D
Prompt injection
Why wrong: Prompt injection is an input attack, not model error.
Question 647 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.
An LLM-powered application occasionally generates factual-sounding but incorrect information. Users rely on this output for decision-making. Which risk does this primarily represent?
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
✓
Hallucinations and over-reliance
The scenario describes an LLM generating plausible but incorrect information (hallucination) and users relying on it for decisions (over-reliance). This directly matches the combined risk of hallucinations and over-reliance, as the model's confident but false outputs can lead to poor decision-making without proper verification.
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.
- ✓
Hallucinations and over-reliance
Why this is correct
Hallucinations produce false information, and over-reliance amplifies the risk.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Sensitive information disclosure
Why it's wrong here
Disclosure is about leaking private data, not making up facts.
- ✗
Model denial of service
Why it's wrong here
DoS is about availability, not accuracy.
- ✗
Prompt injection
Why it's wrong here
Prompt injection is an input attack, not model error.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between inherent model flaws (hallucinations) and external attacks (prompt injection), so candidates may confuse the two because both involve unexpected outputs, but the root cause differs—internal generation vs. external manipulation.
Detailed technical explanation
How to think about this question
Hallucinations in LLMs occur due to the model's autoregressive nature—it predicts the most probable next token based on patterns, not factual truth, leading to plausible-sounding fabrications. Over-reliance is exacerbated by the model's confident tone and lack of uncertainty markers, causing users to trust outputs without cross-checking. In real-world scenarios, this can cause critical failures in domains like healthcare or finance, where a single hallucinated fact (e.g., a drug dosage or stock price) can have severe consequences.
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: Hallucinations and over-reliance — The scenario describes an LLM generating plausible but incorrect information (hallucination) and users relying on it for decisions (over-reliance). This directly matches the combined risk of hallucinations and over-reliance, as the model's confident but false outputs can lead to poor decision-making without proper verification.
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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