Generative AI Leader Practice Question: Business Strategies for Generative AI Solutions
A healthcare startup is exploring GenAI for clinical note summarization. They have concerns about patient data privacy. Which Google Cloud approach best addresses privacy while still using powerful models?
⚠ Common exam trap
A common mix-up: candidates assume fine-tuning (Option C) inherently provides privacy, but without explicit data residency and no-sharing policies, it fails to meet strict healthcare compliance requirements.
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
✓
Use Vertex AI with data residency controls and no external data sharing
Vertex AI with data residency controls and no external data sharing ensures that patient data remains within specified geographic boundaries and is not used for model training or improvement, directly addressing healthcare privacy regulations like HIPAA. This approach leverages Google Cloud's powerful models while maintaining strict data governance, unlike options that risk data exposure or lack enterprise-grade controls.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Deploy open-source models on-premises
Why it's wrong here
On-premises deployment provides full control but may not have access to the most powerful state-of-the-art models.
- ✗
Use a third-party API with anonymization of patient data
Why it's wrong here
Anonymization may not be sufficient for all regulations, and third-party APIs still transmit data externally.
- ✗
Use Vertex AI with model customization (fine-tuning)
Why it's wrong here
Customization may still involve data leaving the secure environment, and fine-tuning could inadvertently expose PHI.
- ✓
Use Vertex AI with data residency controls and no external data sharing
Why this is correct
Vertex AI offers regional endpoints and commitments to not use customer data for training, addressing privacy while providing powerful models.
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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.