- A
SQL injection
Why wrong: Attacks databases, not AI models directly.
- B
Data poisoning
Malicious data inserted during training to corrupt model.
- C
Adversarial examples
Inputs crafted to cause misclassification.
- D
Distributed denial-of-service (DDoS)
Why wrong: Targets network availability, not model integrity.
- E
Phishing attacks
Why wrong: Targets human users, not AI systems.
Question 776 of 1,000
Common AI Security Threats: Adversarial Examples and Data Poisoning
This AI0-001 practice question tests your understanding of ai security, ethics and governance. 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.
Which TWO of the following are common threats to AI model security?
Quick Answer
The correct answer is adversarial examples and data poisoning, as these are the two classic threats to AI model security. Adversarial examples exploit model vulnerabilities by introducing subtle, often imperceptible perturbations to input data, causing the model to make confident but incorrect predictions, while data poisoning corrupts the training dataset itself to manipulate the model’s behavior from the ground up. On the CompTIA AI+ AI0-001 exam, this question tests your ability to distinguish AI-specific attacks from general cybersecurity threats—a common trap is confusing model attacks with infrastructure attacks like SQL injection or DDoS, or social engineering like phishing. A reliable memory tip is to remember that AI threats target the model’s data or logic directly: think “input and training” for adversarial examples and data poisoning, respectively.
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
✓
Data poisoning
B is correct because data poisoning involves an attacker injecting malicious data into the training set to corrupt the model's learning process, causing it to make incorrect predictions or classifications. This directly undermines the integrity of the AI model by manipulating its foundational training data.
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.
- ✗
SQL injection
Why it's wrong here
Attacks databases, not AI models directly.
- ✓
Data poisoning
Why this is correct
Malicious data inserted during training to corrupt model.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Adversarial examples
Why this is correct
Inputs crafted to cause misclassification.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Distributed denial-of-service (DDoS)
Why it's wrong here
Targets network availability, not model integrity.
- ✗
Phishing attacks
Why it's wrong here
Targets human users, not AI systems.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between traditional IT security threats (like SQL injection or DDoS) and AI-specific threats (like data poisoning and adversarial examples), so candidates may incorrectly select familiar network or application attacks instead of recognizing the unique AI attack vectors.
Detailed technical explanation
How to think about this question
Data poisoning can be executed by inserting carefully crafted samples into the training dataset, such as label-flipping attacks where benign inputs are mislabeled to alter decision boundaries. In federated learning, a malicious client can submit poisoned model updates to degrade global model accuracy, a scenario known as Byzantine attack. Real-world examples include manipulating image classifiers by adding subtly altered images to the training set, causing misclassification of stop signs as speed limit signs.
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, Ethics and Governance — This question tests AI Security, Ethics and Governance — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Data poisoning — B is correct because data poisoning involves an attacker injecting malicious data into the training set to corrupt the model's learning process, causing it to make incorrect predictions or classifications. This directly undermines the integrity of the AI model by manipulating its foundational training data.
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
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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