- A
Vetting the pre-trained model for backdoors, data lineage, and provenance
Comprehensive vetting addresses risks like backdoors and poisoned training data.
- B
Reviewing the model's software bill of materials (SBOM)
Why wrong: SBOM lists components but does not fully assess model integrity or security.
- C
Implementing rate limiting on API calls to the model
Why wrong: Rate limiting is a general security measure but not specific to supply chain risk.
- D
Performing model inversion defense
Why wrong: Model inversion defense protects against reconstruction attacks, not supply chain issues.
Question 935 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.
An organization wants to use a pre-trained language model from a third party. Which practice is MOST critical to ensure supply chain security for the AI component?
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
✓
Vetting the pre-trained model for backdoors, data lineage, and provenance
Option A is correct because vetting the pre-trained model for backdoors, data lineage, and provenance directly addresses supply chain risks by verifying the model's integrity, origin, and training data. This practice ensures the model has not been tampered with or poisoned during development or distribution, which is critical for AI supply chain security.
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.
- ✓
Vetting the pre-trained model for backdoors, data lineage, and provenance
Why this is correct
Comprehensive vetting addresses risks like backdoors and poisoned training data.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Reviewing the model's software bill of materials (SBOM)
Why it's wrong here
SBOM lists components but does not fully assess model integrity or security.
- ✗
Implementing rate limiting on API calls to the model
Why it's wrong here
Rate limiting is a general security measure but not specific to supply chain risk.
- ✗
Performing model inversion defense
Why it's wrong here
Model inversion defense protects against reconstruction attacks, not supply chain issues.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between general software supply chain practices (like SBOM) and AI-specific supply chain risks (like model backdoors and data poisoning), leading candidates to mistakenly choose SBOM review as the most critical practice.
Detailed technical explanation
How to think about this question
Vetting a pre-trained model involves inspecting its architecture, weights, and training pipeline for anomalies such as hidden neurons or trigger patterns that could indicate a backdoor. Provenance tracking uses cryptographic hashes or signed manifests (e.g., SLSA attestations) to verify the model's chain of custody from training to deployment, ensuring no unauthorized modifications occurred. In practice, organizations may use tools like TensorFlow Model Analysis or custom scripts to scan for statistical outliers in weight distributions that suggest poisoning.
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 — 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: Vetting the pre-trained model for backdoors, data lineage, and provenance — Option A is correct because vetting the pre-trained model for backdoors, data lineage, and provenance directly addresses supply chain risks by verifying the model's integrity, origin, and training data. This practice ensures the model has not been tampered with or poisoned during development or distribution, which is critical for AI supply chain security.
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.
About these practice questions
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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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