GCP Generative AI Leader Practice Question 6: Prototype to Enterprise Platform
Google Cloud Generative AI Leader · Test 1 · question 6 of 10
A product team at a health insurer built a promising claims-summary prototype in Google AI Studio using a Gemini API key. Leadership has approved a production launch that will process members' protected health information. Compliance requires HIPAA support, customer-managed encryption keys, data residency, IAM-based access, and an availability SLA.
What should the product director direct the team to do?
Show answer and explanation
Answer:
Google positions these two environments for different stages. Google AI Studio and the Gemini API are a fast way to start, using a Google Account and an API key. Gemini Enterprise Agent Platform (formerly Vertex AI), with Agent Studio (formerly Vertex AI Studio) as its interface, is the enterprise path. According to Google's comparison, Agent Platform supports compliance certifications such as HIPAA and SOC 2. It also offers data residency, customer-managed encryption keys, Access Transparency, IAM-based authentication, VPC security, enterprise support, and availability SLAs. Every requirement in the stem appears on that list.
Option A is the tempting half-measure. The paid tier of the Gemini API stops Google from using prompts to improve its products, but Google states that the Gemini API has no compliance certifications such as HIPAA and no enterprise SLAs. It explicitly directs regulated customers to Agent Platform instead.
Option B turns a governed production workflow into a personal assistant customization. A Gem is useful for individuals, but it is not a way to run a controlled, SLA-backed claims pipeline.
Option C moves the work into document editing. It does not provide the application, controls, and integration a production claims workflow needs.
Reference: Migrate from Google AI Studio to Gemini Enterprise Agent Platform