Generative AI Leader Practice Question: Business Strategies for Generative AI Solutions
Which TWO are key business considerations when adopting generative AI solutions?
⚠ Common exam trap
Google Cloud often tests the distinction between technical metrics (like training duration, parameter count, and benchmark accuracy) and true business considerations (like compliance, cost, and scalability), leading candidates to confuse model performance indicators with strategic business drivers.
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
✓
Data privacy and compliance requirements
Data privacy and compliance requirements (Option C) are a key business consideration because generative AI models often process sensitive or proprietary data, and regulations like GDPR, HIPAA, or CCPA mandate strict controls on data handling, storage, and model training. Failure to address these can result in legal penalties, reputational damage, and loss of customer trust, making it a top priority for enterprise adoption.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Training duration on public datasets
Why it's wrong here
Training duration is a technical concern, not a business one.
- ✗
Number of model parameters
Why it's wrong here
Parameter count is a model architecture detail.
- ✓
Data privacy and compliance requirements
Why this is correct
Privacy and compliance are critical business and legal considerations.
- ✗
Model accuracy on benchmarks
Why it's wrong here
Accuracy is a technical metric, not a primary business consideration.
- ✓
Cost of inference per request
Why this is correct
Inference cost affects ongoing operational expenses.
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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.