Google Cloud Professional Cloud Architect — Question 188

You are architecting a new application feature for a healthcare provider based in Qatar. The feature needs to summarize sensitive patient notes that are submitted by clinicians. A critical requirement is that the content of these patient notes must never be processed outside of Qatar's borders. You want to use a powerful, pre-trained generative model for the summarization task while strictly adhering to the data residency constraint. What should you do?

Answer options

• A. Write application code that sends the patient notes explicitly to the Gemini API endpoint in Qatar for summarization. Protect the API by VPC-Service Controls.
• B. Use Vertex AI Model Garden to select a Gemma model. Deploy this model to a Vertex AI Endpoint within a Google Cloud region located in Qatar.
• C. Use the Cloud Natural Language API to analyze the text and configure it to generate a summary of the patient notes.
• D. Gather a large, anonymized dataset of medical notes. Use Vertex AI Training to train a custom summarization model from scratch, deploying it in a Qatar region.

Correct answer: B

Explanation

The correct answer is B because deploying the Gemma model on a Vertex AI Endpoint within a Google Cloud region in Qatar ensures that the sensitive patient notes remain within the required geographic boundaries. Option A, while it mentions security, doesn't guarantee that the summarization is fully within Qatar's borders. Option C does not meet the residency requirement, and D involves creating a model from scratch, which is not necessary when a pre-trained model is available.