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Generative AI Leader Practice Question: Business Strategies for Generative AI Solutions

An enterprise wants to adopt GenAI across departments but faces resistance from legal and compliance. Which strategy should the AI leader prioritize?

⚠ Common exam trap

Google Cloud often tests the misconception that a low-risk pilot (Option C) is the best first step to overcome resistance, but the trap is that without a governance framework, even a pilot can expose the enterprise to compliance risks, and the question specifically asks for a strategy to address legal and compliance resistance, not just to demonstrate value.

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

✓

Build a comprehensive governance framework covering data use, review, and monitoring

Legal and compliance resistance stems from concerns about data privacy, regulatory adherence, and model accountability. A comprehensive governance framework directly addresses these by defining data usage policies, implementing review mechanisms for model outputs, and establishing continuous monitoring to detect drift or bias, which is essential for enterprise-grade GenAI deployment.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    Outsource the entire initiative to a consulting firm

    Why it's wrong here

    Outsourcing may provide expertise but does not build internal governance and may create dependency.

  • ✓

    Build a comprehensive governance framework covering data use, review, and monitoring

    Why this is correct

    A governance framework defines acceptable data use, human review and ongoing monitoring, giving legal and compliance concrete controls to approve rather than blanket refusal. Addressing their concerns directly removes the adoption blocker, whereas tooling or training alone leaves the underlying policy objection unresolved.

  • ✗

    Deploy a single pilot in a low-risk department to demonstrate value

    Why it's wrong here

    A single low-risk pilot proves value but leaves the legal and compliance objections unaddressed, so resistance persists at scale. It is tempting because pilots are the usual way to build momentum, and it would be correct when the blocker is scepticism about business benefit rather than governance concerns.

  • ✗

    Mandate use of GenAI through executive order

    Why it's wrong here

    An executive mandate forces adoption without resolving the legal and compliance concerns, producing shadow usage and unmanaged risk. It is tempting because it signals urgency and overrides inertia, and it would be correct when the barrier is slow decision-making rather than unresolved regulatory objections.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This Generative AI Leader practice question is part of Courseiva's free Google Cloud 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 Generative AI Leader exam.