- A
Apply input validation and sanitization techniques
Why wrong: Input validation defends against injection, not supply chain backdoors.
- B
Use homomorphic encryption for model weights
Why wrong: Homomorphic encryption protects data in use but does not detect backdoors.
- C
Implement differential privacy during fine-tuning
Why wrong: Differential privacy protects training data privacy, not detect backdoors.
- D
Create a software bill of materials (SBOM) for the model and its dependencies
An SBOM provides transparency into the model's origin and components, helping identify tampered or backdoored parts.
Question 329 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 company is fine-tuning a pre-trained open-source model for a sensitive application. They want to detect if the model contains a backdoor inserted by the original developers. Which supply chain security measure is most directly applicable?
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
✓
Create a software bill of materials (SBOM) for the model and its dependencies
Option D is correct because a Software Bill of Materials (SBOM) for the model and its dependencies provides a formal, machine-readable inventory of all components, including the base model, training data sources, and third-party libraries. This allows the security team to trace the provenance of each component and identify known vulnerabilities or suspicious artifacts that could indicate a backdoor inserted by the original developers. SBOMs are a key supply chain security measure recommended by frameworks like NIST SP 800-161 and are directly applicable to detecting unauthorized modifications in pre-trained models.
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.
- ✗
Apply input validation and sanitization techniques
Why it's wrong here
Input validation defends against injection, not supply chain backdoors.
- ✗
Use homomorphic encryption for model weights
Why it's wrong here
Homomorphic encryption protects data in use but does not detect backdoors.
- ✗
Implement differential privacy during fine-tuning
Why it's wrong here
Differential privacy protects training data privacy, not detect backdoors.
- ✓
Create a software bill of materials (SBOM) for the model and its dependencies
Why this is correct
An SBOM provides transparency into the model's origin and components, helping identify tampered or backdoored parts.
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 runtime security controls (like input validation) and supply chain provenance measures (like SBOM), so the trap here is that candidates confuse operational defenses with the static analysis needed to detect pre-installed backdoors.
Detailed technical explanation
How to think about this question
An SBOM for an AI model typically includes metadata such as the model architecture hash, training dataset provenance, hyperparameter configurations, and a list of all Python packages (e.g., via pip freeze or a requirements.txt) with their version numbers and known CVEs. In practice, a security team can cross-reference the SBOM against vulnerability databases like the National Vulnerability Database (NVD) or use tools like Syft or Trivy to scan for malicious components, such as a custom layer that triggers on a specific input pattern. A subtle behavior is that a backdoor might be hidden in a rarely-used dependency (e.g., a modified version of a tokenizer) that would be flagged only if the SBOM includes cryptographic hashes of each component.
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: Create a software bill of materials (SBOM) for the model and its dependencies — Option D is correct because a Software Bill of Materials (SBOM) for the model and its dependencies provides a formal, machine-readable inventory of all components, including the base model, training data sources, and third-party libraries. This allows the security team to trace the provenance of each component and identify known vulnerabilities or suspicious artifacts that could indicate a backdoor inserted by the original developers. SBOMs are a key supply chain security measure recommended by frameworks like NIST SP 800-161 and are directly applicable to detecting unauthorized modifications in pre-trained models.
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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