- A
The vendor's model architecture and training framework
Why wrong: While technical details can be useful, governance assessment focuses on policies and practices, not necessarily proprietary architecture.
- B
The vendor's data handling and privacy practices
Data handling practices are critical for compliance and security.
- C
The vendor's marketing budget for AI services
Why wrong: Marketing budget is unrelated to AI governance.
- D
The vendor's transparency documentation and model cards
Transparency documentation helps understand the model's intended use, limitations, and performance.
- E
The vendor's bias testing and fairness evaluation results
Evaluating bias testing ensures the vendor addresses fairness.
Question 727 of 1,000
AI0-001 AI Governance and Ethics Practice Question
This AI0-001 practice question tests your understanding of ai governance and ethics. 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 conducting a vendor AI assessment for a third-party natural language processing service. They need to ensure the vendor's AI governance practices align with their own. Which THREE areas should they evaluate?
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
✓
The vendor's data handling and privacy practices
Option B is correct because data handling and privacy practices are a core component of AI governance, ensuring that the vendor's use of customer data complies with regulations like GDPR or CCPA and aligns with the company's own data protection policies. During a vendor AI assessment, evaluating how the vendor collects, stores, processes, and secures data is critical to mitigate risks of data breaches, unauthorized use, or non-compliance, which directly impacts trust and legal liability.
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.
- ✗
The vendor's model architecture and training framework
Why it's wrong here
While technical details can be useful, governance assessment focuses on policies and practices, not necessarily proprietary architecture.
- ✓
The vendor's data handling and privacy practices
Why this is correct
Data handling practices are critical for compliance and security.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The vendor's marketing budget for AI services
Why it's wrong here
Marketing budget is unrelated to AI governance.
- ✓
The vendor's transparency documentation and model cards
Why this is correct
Transparency documentation helps understand the model's intended use, limitations, and performance.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
The vendor's bias testing and fairness evaluation results
Why this is correct
Evaluating bias testing ensures the vendor addresses fairness.
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 technical performance metrics (like model architecture) and governance-specific evaluation areas (like transparency and bias testing), leading candidates to mistakenly select options that sound relevant but fall outside the scope of AI governance.
Detailed technical explanation
How to think about this question
AI governance frameworks, such as those based on NIST AI Risk Management Framework or ISO/IEC 42001, require evaluating a vendor's data lineage, consent mechanisms, and anonymization techniques (e.g., differential privacy) to ensure alignment with the company's data governance policies. In practice, a vendor might claim compliance but lack proper data minimization protocols or fail to provide audit trails, which can be uncovered through reviewing their data handling documentation and privacy impact assessments.
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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AI Governance and Ethics — study guide chapter
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FAQ
Questions learners often ask
What does this AI0-001 question test?
AI Governance and Ethics — This question tests AI Governance and Ethics — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The vendor's data handling and privacy practices — Option B is correct because data handling and privacy practices are a core component of AI governance, ensuring that the vendor's use of customer data complies with regulations like GDPR or CCPA and aligns with the company's own data protection policies. During a vendor AI assessment, evaluating how the vendor collects, stores, processes, and secures data is critical to mitigate risks of data breaches, unauthorized use, or non-compliance, which directly impacts trust and legal liability.
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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