AWS Certified AI PractitionerFoundation ModelsEasy
A solutions architect is designing an AI system for a legal firm that needs to analyze complex legal documents and provide summaries. Due to strict data privacy regulations, all processing must occur within the firm's on-premises data center, and external cloud services are prohibited. Which foundation model deployment strategy is most appropriate?
- ACloud-based API integration
- BOn-premises deployment
- CEdge device deployment
- DServerless function deployment
Show answer & explanationAnswer & explanation
Correct answer: B. On-premises deployment
Given the strict data privacy regulations and the requirement for all processing to occur within the firm's on-premises data center, deploying the foundation model directly on the firm's own infrastructure is the only viable option. This ensures full control over data residency and security.
Why the other options are wrong
- A. Cloud-based API integration violates the 'no external cloud services' requirement.
- C. Edge device deployment is typically for smaller models on local devices, not for complex legal document analysis in a data center.
- D. Serverless function deployment is a cloud-based service, which violates the 'no external cloud services' requirement.
On-premises FM Deployment
Running a foundation model directly on an organization's own physical hardware and infrastructure within their data center.
- Provides maximum data control and security
- Requires significant hardware and operational expertise
- Avoids reliance on external cloud providers
Memory trick: Where your data lives, your model goes.