AI0-001 AI Security, Ethics and Governance Practice Question
Which TWO are common types of adversarial attacks on AI models?
⚠ Common exam trap
The AI0-001 exam often tests the distinction between attack types that occur during training (data poisoning) versus inference (evasion), and candidates may mistakenly classify hyperparameter tuning or transfer learning as attacks because they sound like active manipulations, but they are standard ML practices.
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
✓
Evasion attack
Evasion attacks (Option C) are a common type of adversarial attack where an attacker crafts malicious input data that is intentionally designed to cause a trained AI model to make incorrect predictions or classifications, often by adding imperceptible perturbations to legitimate inputs. This exploits the model's sensitivity to small changes in feature space, leading to misclassification without altering the model itself.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Hyperparameter tuning
Why it's wrong here
Hyperparameter tuning is part of model development, not an attack.
- ✗
Transfer learning
Why it's wrong here
Transfer learning is a technique, not an attack.
- ✓
Evasion attack
Why this is correct
Evasion attacks craft input perturbations to cause misclassification at test time.
- ✗
Backdoor attack
Why it's wrong here
Backdoor attacks are a subset of poisoning; the question asks for types, and evasion+poisoning are broad categories.
- ✓
Data poisoning
Why this is correct
Data poisoning injects malicious samples during training to corrupt the model.
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.