Question 932 of 1,000
AI SecurityeasyMultiple SelectObjective-mapped

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 security team is auditing an AI system and identifies risks related to the OWASP LLM Top 10. Which TWO risks are directly associated with data handling and privacy? (Select two.)

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

Training data poisoning

Training data poisoning (D) is directly associated with data handling because it involves an attacker corrupting the training dataset to manipulate the model's behavior, which compromises data integrity and privacy. Sensitive information disclosure (E) is directly associated with privacy because it occurs when the model inadvertently reveals confidential data from its training set or user inputs, violating data confidentiality. Both risks are explicitly tied to how data is collected, stored, and processed in the AI lifecycle.

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.

  • Supply chain vulnerabilities

    Why it's wrong here

    Supply chain issues relate to third-party components, not direct data handling.

  • Model denial of service

    Why it's wrong here

    DoS attacks disrupt service availability, not data privacy.

  • Overreliance

    Why it's wrong here

    Overreliance is a behavioral risk, not a data handling risk.

  • Training data poisoning

    Why this is correct

    Poisoning corrupts training data, affecting model integrity and potentially injecting backdoors.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Sensitive information disclosure

    Why this is correct

    This risk involves the LLM leaking confidential data in its 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 risks that affect data integrity/privacy (like poisoning and disclosure) versus those affecting availability, trust, or supply chain, so candidates mistakenly select overreliance or supply chain vulnerabilities because they seem related to data but are actually about user behavior or third-party dependencies.

Detailed technical explanation

How to think about this question

Training data poisoning can be executed via label flipping or gradient manipulation during federated learning, where a malicious participant injects crafted samples to skew decision boundaries. Sensitive information disclosure often manifests through model inversion attacks, where an adversary queries the model to reconstruct training data, or through membership inference attacks that determine if a specific record was used in training. Real-world examples include a chatbot leaking credit card numbers from its training corpus or a medical AI revealing patient diagnoses via output patterns.

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: Training data poisoning — Training data poisoning (D) is directly associated with data handling because it involves an attacker corrupting the training dataset to manipulate the model's behavior, which compromises data integrity and privacy. Sensitive information disclosure (E) is directly associated with privacy because it occurs when the model inadvertently reveals confidential data from its training set or user inputs, violating data confidentiality. Both risks are explicitly tied to how data is collected, stored, and processed in the AI lifecycle.

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.