Generative AI Leader Practice Question: Business Strategies for Generative AI Solutions
A large enterprise wants to deploy multiple generative AI models across different business units while ensuring cost governance and usage tracking. Which Google Cloud solution is best suited?
⚠ Common exam trap
Many exam-takers confuse cost allocation mechanisms (like labels or budgets) with true cost isolation, assuming that tagging or alerting alone can enforce per-business-unit governance without the structural separation that separate projects provide.
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
✓
Deploy each model in a separate project with IAM policies
Deploying each model in a separate Google Cloud project with IAM policies provides the strongest isolation for cost governance and usage tracking. This approach ensures that each business unit's model usage is billed to its own project, enabling granular cost allocation and independent monitoring without cross-project interference. It also allows per-project budget alerts and usage quotas, directly addressing the enterprise's need for decentralized cost control.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use Vertex AI Endpoint with monitoring
Why it's wrong here
Monitors performance, not cost allocation.
- ✓
Deploy each model in a separate project with IAM policies
Why this is correct
Projects isolate resources and costs per business unit.
- ✗
Implement a custom cost allocation using labels
Why it's wrong here
Labels help but are less structured than separate projects.
- ✗
Use Cloud Billing budgets and alerts per model
Why it's wrong here
Budgets track overall cost, not per model usage.
Go deeper
Related to this question
About these practice questions
This Generative AI Leader question is part of Courseiva's 1,008-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
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.