Generative AI Leader Practice Question: Business Strategies for Generative AI Solutions
Which THREE factors should be considered when selecting a foundation model for a generative AI application in a regulated industry?
⚠ Common exam trap
Google Cloud often tests the misconception that technical performance metrics (like latency or parameter count) are primary selection criteria for regulated industries, when in fact governance factors like transparency, data residency, and bias evaluation are the non-negotiable 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
✓
Transparency of the model's training data and sources
In regulated industries (e.g., healthcare, finance), transparency of training data and sources is critical for compliance with regulations like GDPR or HIPAA. Without knowing the provenance and composition of the training data, an organization cannot audit for prohibited content, verify consent, or ensure the model does not inadvertently expose sensitive information. This transparency directly impacts the ability to perform due diligence and meet legal obligations for data usage.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Transparency of the model's training data and sources
Why this is correct
Regulated industries require understanding of data provenance to ensure compliance.
- ✓
Support for data residency and sovereignty requirements
Why this is correct
Data must stay in certain jurisdictions to comply with regulations.
- ✗
Latency and throughput requirements
Why it's wrong here
Important but not specific to regulated industries.
- ✗
Size of the model in terms of parameters
Why it's wrong here
Model size is a technical consideration, not a compliance factor.
- ✓
Bias and fairness evaluation results
Why this is correct
Regulated industries need to ensure model outputs are fair and unbiased.
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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.