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AI0-001 AI Governance and Ethics Practice Question

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?

⚠ Common exam trap

Candidates often confuse technical performance metrics (like model architecture) with governance-specific evaluation areas (like transparency and bias testing), leading them to select options that sound relevant but fall outside the scope of AI governance during a vendor assessment.

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

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.

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.

  • ✗

    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.

  • ✓

    The vendor's bias testing and fairness evaluation results

    Why this is correct

    Evaluating bias testing ensures the vendor addresses fairness.

About these practice questions

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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.