Generative AI Leader Practice Question: Business Strategies for Generative AI Solutions
A retailer wants to generate personalized product descriptions using PaLM API. They have concerns about data privacy. What is the best practice to mitigate these concerns?
⚠ Common exam trap
Google Cloud often tests the misconception that encryption alone (Option C) is sufficient for data privacy, when in fact it does not prevent the API from accessing or processing the data, which is the core concern in this scenario.
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
✓
Enable data residency and use prompt engineering to avoid including personally identifiable information
Data residency ensures customer data is processed and stored within a specific geographic region, addressing regulatory compliance, while prompt engineering allows the retailer to avoid sending PII to the PaLM API entirely. This combination mitigates privacy risks without requiring custom model training or relying solely on encryption, which does not prevent the API from processing sensitive data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Train a custom model from scratch on proprietary data stored on-premise
Why it's wrong here
Training from scratch requires substantial data science resources and may not be necessary for this use case.
- ✗
Use the PaLM API directly with anonymized customer data
Why it's wrong here
Even anonymized data sent to a public API may be processed outside the company's control, violating privacy policies.
- ✗
Encrypt all data in transit and at rest using customer-managed encryption keys
Why it's wrong here
Encryption protects data in transit and at rest but does not guarantee that the model provider doesn't access the data during processing.
- ✓
Enable data residency and use prompt engineering to avoid including personally identifiable information
Why this is correct
Vertex AI allows data to stay in specific regions, and careful prompt design can generate personalized content without exposing raw PII.
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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.