- A
Implement a quick rollback plan in case employees resist
Why wrong: Rollback is a contingency, not a proactive adoption strategy.
- B
Conduct mandatory training sessions for all employees before rollout
Why wrong: Mandatory training can create resistance; voluntary, peer-led adoption is often more effective.
- C
Identify and train AI champions who can demonstrate value and support colleagues
AI champions act as internal advocates, providing peer support and driving organic adoption.
- D
Restrict access to all non-GenAI tools to force usage
Why wrong: Forcing usage can cause resentment and reduce trust in the tool.
Question 397 of 997
Generative AI Leader Applying Generative AI in Business Practice Question
This Generative AI Leader practice question tests your understanding of applying generative ai in business. 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 planning an iterative rollout of a GenAI tool. Which change management practice is MOST critical for ensuring high adoption among employees?
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
✓
Identify and train AI champions who can demonstrate value and support colleagues
Option C is correct because AI champions serve as peer-level advocates who can demonstrate practical use cases, address context-specific concerns, and provide ongoing support, which is critical for overcoming the skepticism and learning curve associated with GenAI tools. Unlike top-down mandates, this grassroots approach builds trust and organic adoption by leveraging social proof and localized expertise.
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.
- ✗
Implement a quick rollback plan in case employees resist
Why it's wrong here
Rollback is a contingency, not a proactive adoption strategy.
- ✗
Conduct mandatory training sessions for all employees before rollout
Why it's wrong here
Mandatory training can create resistance; voluntary, peer-led adoption is often more effective.
- ✓
Identify and train AI champions who can demonstrate value and support colleagues
Why this is correct
AI champions act as internal advocates, providing peer support and driving organic adoption.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Restrict access to all non-GenAI tools to force usage
Why it's wrong here
Forcing usage can cause resentment and reduce trust in the tool.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google often tests the distinction between technical contingency planning (rollback) and human-centric change management, leading candidates to confuse a safety net with an adoption strategy.
Detailed technical explanation
How to think about this question
Under the hood, AI champions act as a distributed support network that reduces the 'cold start' problem in adoption by providing real-time, context-aware guidance on prompt engineering, output validation, and ethical use. In practice, a champion can demonstrate how to iteratively refine a prompt to get a legally compliant contract summary, which a generic training session cannot cover due to the variability of GenAI responses. This mirrors the 'train-the-trainer' model used in enterprise software rollouts, but with the added complexity of managing stochastic outputs and hallucination risks.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this Generative AI Leader question test?
Applying Generative AI in Business — This question tests Applying Generative AI in Business — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Identify and train AI champions who can demonstrate value and support colleagues — Option C is correct because AI champions serve as peer-level advocates who can demonstrate practical use cases, address context-specific concerns, and provide ongoing support, which is critical for overcoming the skepticism and learning curve associated with GenAI tools. Unlike top-down mandates, this grassroots approach builds trust and organic adoption by leveraging social proof and localized expertise.
What should I do if I get this Generative AI Leader 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.
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Last reviewed: Jul 4, 2026
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