Generative AI Leader Practice Question: Business Strategies for Generative AI Solutions
A government agency is deploying a generative AI chatbot to answer citizen questions about public services. The chatbot must provide accurate and consistent information, scale to handle peak loads during tax season, and comply with strict data sovereignty laws that require all data to stay within the country. The agency has a moderate budget and in-house IT team but limited AI expertise. Which deployment architecture should they choose?
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 a pre-trained model on Vertex AI in the required region with auto-scaling
Deploying a pre-trained model on Vertex AI in the required region is the best architecture because it keeps data in-country, auto-scales for peak demand, and uses a managed service that minimizes AI operations burden. Option A is not suitable because on-premises hosting requires significant AI expertise and does not scale easily. Option C is not suitable because multi-region deployment can move data outside the required country and violate data sovereignty. Option D is not the best choice: while a third-party managed service may claim data residency, it adds a separate vendor relationship, potential integration and cost overhead, and less direct control over regional infrastructure and compliance than Vertex AI's explicit in-region 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.
- ✗
Build and host the model on-premises using open-source tools
Why it's wrong here
On-premises lacks scalability and the agency has limited AI expertise.
- ✓
Deploy a pre-trained model on Vertex AI in the required region with auto-scaling
Why this is correct
Keeps data within region, auto-scales, and requires minimal AI expertise.
- ✗
Deploy the model on Vertex AI across multiple regions for availability
Why it's wrong here
Multi-region deployment may violate data sovereignty.
- ✗
Use a third-party managed generative AI service that guarantees data residency
Why it's wrong here
Third-party services may exceed budget and still pose compliance risks.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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