- A
Retrain the model from scratch
Why wrong: Retraining from scratch is costly and unnecessary if the pre-trained model is properly vetted.
- B
Verify the model's provenance and checksums
Ensures the model comes from a trusted source and has not been altered.
- C
Vet the pre-trained model for potential backdoors
Checking for backdoors ensures the model has not been tampered with before use.
- D
Set up audit logging of all interactions
Why wrong: Audit logging is important but is an operational control after deployment, not a supply chain security step before using the model.
- E
Fine-tune the model on sensitive internal data
Why wrong: Fine-tuning should only be done after supply chain checks, and may introduce risks if the base model is compromised.
Question 140 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 is planning to fine-tune an open-source LLM for internal use. To secure the supply chain, which TWO steps should they take before using the base model? (Select two.)
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
✓
Verify the model's provenance and checksums
Verifying the model's provenance and checksums (Option B) ensures the base model has not been tampered with during download or transfer, confirming its integrity and authenticity. This is a critical supply chain security step before any fine-tuning, as it prevents the introduction of malicious modifications from untrusted sources.
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.
- ✗
Retrain the model from scratch
Why it's wrong here
Retraining from scratch is costly and unnecessary if the pre-trained model is properly vetted.
- ✓
Verify the model's provenance and checksums
Why this is correct
Ensures the model comes from a trusted source and has not been altered.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Vet the pre-trained model for potential backdoors
Why this is correct
Checking for backdoors ensures the model has not been tampered with before use.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Set up audit logging of all interactions
Why it's wrong here
Audit logging is important but is an operational control after deployment, not a supply chain security step before using the model.
- ✗
Fine-tune the model on sensitive internal data
Why it's wrong here
Fine-tuning should only be done after supply chain checks, and may introduce risks if the base model is compromised.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between pre-deployment supply chain security (verification and vetting) and post-deployment operational controls (logging, fine-tuning), tricking candidates into selecting runtime measures for a supply chain question.
Detailed technical explanation
How to think about this question
Provenance verification involves checking cryptographic hashes (e.g., SHA-256 checksums) published by the model's official source against the downloaded artifact, often combined with GPG signatures for authenticity. This aligns with SLSA (Supply-chain Levels for Software Artifacts) principles, where verifying the integrity of the artifact prevents dependency confusion or man-in-the-middle attacks. In practice, organizations should also validate the model's metadata and training lineage to ensure it originates from a trusted repository.
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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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: Verify the model's provenance and checksums — Verifying the model's provenance and checksums (Option B) ensures the base model has not been tampered with during download or transfer, confirming its integrity and authenticity. This is a critical supply chain security step before any fine-tuning, as it prevents the introduction of malicious modifications from untrusted sources.
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
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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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