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Generative AI Leader Practice Question: A product manager wants to communicate the…
A product manager wants to communicate the limitations of a new generative AI feature to stakeholders. According to Google's People + AI Guidebook, what is the BEST approach?
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
✓
Provide clear examples of the AI's capabilities and failure modes
The People + AI Guidebook emphasizes setting appropriate expectations by clearly communicating what the AI can and cannot do.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Highlight only the successful use cases to build excitement
Why it's wrong here
Highlighting only successful use cases withholds known failure modes, so stakeholders cannot set expectations or plan mitigations, directly contradicting the People + AI Guidebook's guidance on communicating limitations. It is tempting because showcasing wins is standard product-marketing practise, and would suit a launch announcement where confidence, not calibrated trust, is the goal.
- ✓
Provide clear examples of the AI's capabilities and failure modes
Why this is correct
The People + AI Guidebook recommends setting accurate expectations by showing both what the feature does well and where it fails. Concrete capability and failure-mode examples let stakeholders judge real-world reliability, satisfying the need to communicate limitations honestly.
- ✗
Promise that future versions will overcome all limitations
Why it's wrong here
Promising that future versions will resolve every limitation misrepresents current capability and erodes trust, contradicting the guidebook's guidance to set honest expectations. It is tempting because roadmap optimism reassures stakeholders, and would be acceptable only when the limitation is genuinely scheduled for a defined, verifiable fix.
- ✗
Share a technical paper detailing the model architecture
Why it's wrong here
Stakeholders need plain-language guidance on when the feature fails, not model internals; architecture papers describe layers and training, not user-facing limitations. Technical papers suit engineering reviewers assessing design trade-offs, so they miss the Guidebook's communication intent here.
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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.