- A
Tampering with training data (data poisoning)
Tampering is a core threat to data integrity; poisoning corrupts the model.
- B
Elevation of privilege to access the training pipeline
If an attacker gains elevated privileges, they can modify the pipeline or data.
- C
Spoofing of data sources
Why wrong: Spoofing is about authentication, not directly about training data integrity.
- D
Repudiation of data provenance
Why wrong: Repudiation is about non-repudiation logging, not a primary data threat.
- E
Information disclosure of training data (model inversion)
Information disclosure is a key threat; model inversion can leak sensitive training data.
Question 916 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.
A security team is threat modeling an AI-powered recommendation system. Using STRIDE, which THREE threats are MOST relevant to the model's training data pipeline?
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
✓
Tampering with training data (data poisoning)
Option A is correct because data poisoning directly targets the integrity of the training data pipeline. In STRIDE, 'Tampering' refers to unauthorized modification of data, and an attacker injecting malicious samples into the training set can cause the recommendation model to learn biased or harmful behaviors. This is a primary threat to AI systems, as the model's outputs are only as trustworthy as its 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.
- ✓
Tampering with training data (data poisoning)
Why this is correct
Tampering is a core threat to data integrity; poisoning corrupts the model.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Elevation of privilege to access the training pipeline
Why this is correct
If an attacker gains elevated privileges, they can modify the pipeline or data.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Spoofing of data sources
Why it's wrong here
Spoofing is about authentication, not directly about training data integrity.
- ✗
Repudiation of data provenance
Why it's wrong here
Repudiation is about non-repudiation logging, not a primary data threat.
- ✓
Information disclosure of training data (model inversion)
Why this is correct
Information disclosure is a key threat; model inversion can leak sensitive training data.
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 'Tampering' (modifying data in transit or at rest) and 'Spoofing' (impersonating a user or source), leading candidates to incorrectly select spoofing when the real threat is data integrity compromise in the pipeline.
Detailed technical explanation
How to think about this question
Data poisoning attacks can be either 'targeted' (causing misclassification on specific inputs) or 'indiscriminate' (degrading overall model accuracy). For recommendation systems, a common real-world scenario is an attacker injecting fake user profiles with extreme preferences to skew the model toward promoting certain products. Under the hood, this exploits the model's reliance on gradient descent optimization, where poisoned samples can disproportionately influence weight updates if not detected by anomaly detection or robust aggregation techniques.
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 junior network technician can log in to a core router but cannot reach the enable prompt or configuration mode. The AAA server is authenticating the login — but the authorisation policy only grants privilege level 1, not 15. Authentication (who you are) is working; authorisation (what you can do) is not.
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: Tampering with training data (data poisoning) — Option A is correct because data poisoning directly targets the integrity of the training data pipeline. In STRIDE, 'Tampering' refers to unauthorized modification of data, and an attacker injecting malicious samples into the training set can cause the recommendation model to learn biased or harmful behaviors. This is a primary threat to AI systems, as the model's outputs are only as trustworthy as its 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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