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AI Security, Ethics and GovernanceeasyMultiple ChoiceObjective-mapped

AI0-001 AI Security, Ethics and Governance Practice Question

An AI system in a self-driving car misinterprets a stop sign due to a small sticker placed on it. This is an example of which security vulnerability?

⚠ Common exam trap

The AI0-001 exam often tests the distinction between attacks that occur during training (data poisoning) versus attacks that occur during inference (adversarial examples), and candidates mistakenly choose data poisoning because they think the sticker 'poisons' the input, but the key is that the model's training data is unaffected.

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

Adversarial example attack

The sticker on the stop sign creates a small perturbation that causes the AI model's image classifier to misclassify the sign (e.g., as a speed limit sign). This is the defining characteristic of an adversarial example attack, where crafted input perturbations exploit model vulnerabilities to cause incorrect predictions.

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 attack

    Why it's wrong here

    Supply chain attacks target hardware or software before deployment.

  • Model inversion attack

    Why it's wrong here

    Inversion aims to extract training data, not alter predictions.

  • Adversarial example attack

    Why this is correct

    Small manipulation of input causes incorrect output.

  • Data poisoning attack

    Why it's wrong here

    Poisoning occurs during training, not at inference on physical objects.

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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.