This Generative AI Leader practice question tests your understanding of business strategies for generative ai solutions. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A healthcare company wants to use generative AI to summarize patient records but must comply with HIPAA. Which deployment option should they choose?
Use Vertex AI on Google Cloud with data residency
Why wrong: Data residency alone may not satisfy all HIPAA requirements.
Use Google Workspace AI
Why wrong: Not intended for processing protected health information.
Use an on-premises deployment of open-source model
Full control over data and compliance.
Use a third-party API
Why wrong: Shares data with external vendor, likely violates HIPAA.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Use an on-premises deployment of open-source model
Option C is correct because an on-premises deployment of an open-source model ensures that all patient data remains within the organization's controlled infrastructure, never leaving the local network. This eliminates any risk of data transmission to external cloud services, which is critical for HIPAA compliance where protected health information (PHI) must be safeguarded against unauthorized access or breaches. On-premises solutions allow the organization to implement its own security controls, encryption, and audit trails without relying on a third-party's compliance posture.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Use Vertex AI on Google Cloud with data residency
Why it's wrong here
Data residency alone may not satisfy all HIPAA requirements.
Use Google Workspace AI
Why it's wrong here
Not intended for processing protected health information.
Use an on-premises deployment of open-source model
Why this is correct
Full control over data and compliance.
Related concept
Read the scenario before looking for a memorised answer.
Use a third-party API
Why it's wrong here
Shares data with external vendor, likely violates HIPAA.
Common exam traps
The trap here is that candidates assume cloud providers like Google Cloud or AWS are automatically HIPAA-compliant with data residency, but they overlook the shared responsibility model and the need for a BAA, which still exposes data to the provider's infrastructure and potential third-party risks, making on-premises the only option that guarantees full data control.
Detailed technical explanation
Under the hood, HIPAA's Security Rule mandates administrative, physical, and technical safeguards for ePHI, including encryption at rest and in transit, access controls, and audit controls. An on-premises deployment allows the organization to enforce these controls directly, such as using AES-256 encryption for stored models and TLS 1.2+ for internal data transfers, without relying on a cloud provider's shared responsibility model. A real-world scenario is a hospital deploying a fine-tuned Llama 2 model on local GPU servers to summarize discharge summaries, ensuring all inference happens within the hospital's firewall and no PHI ever touches an external API endpoint.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
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FAQ
Business Strategies for Generative AI Solutions — This question tests Business Strategies for Generative AI Solutions — Read the scenario before looking for a memorised answer..
The correct answer is: Use an on-premises deployment of open-source model — Option C is correct because an on-premises deployment of an open-source model ensures that all patient data remains within the organization's controlled infrastructure, never leaving the local network. This eliminates any risk of data transmission to external cloud services, which is critical for HIPAA compliance where protected health information (PHI) must be safeguarded against unauthorized access or breaches. On-premises solutions allow the organization to implement its own security controls, encryption, and audit trails without relying on a third-party's compliance posture.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 25, 2026
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.
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