Generative AI Leader Practice Question: Business Strategies for Generative AI Solutions
A retail company wants to integrate generative AI into its customer service chatbot to handle routine inquiries. They have a limited budget and want to launch quickly. Which strategy is most appropriate?
⚠ Common exam trap
Google Cloud often tests the misconception that fine-tuning or custom models are always better for domain-specific tasks, but the trap here is that for routine inquiries with limited budget and time, pre-trained APIs offer the fastest and most cost-effective solution without sacrificing quality.
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 pre-trained models via Google Cloud's Generative AI Studio API
Using pre-trained models via Google Cloud's Generative AI Studio API allows the company to leverage existing, powerful models without the high cost and time investment of custom development or fine-tuning. This approach enables rapid deployment on a limited budget by simply integrating the API into their chatbot, handling routine inquiries effectively without requiring extensive machine learning expertise or infrastructure.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Partner with a generative AI vendor for a custom solution
Why it's wrong here
Partnering often involves longer timelines and higher costs.
- ✓
Use pre-trained models via Google Cloud's Generative AI Studio API
Why this is correct
Using pre-trained models via API is cost-effective and fast to implement.
- ✗
Fine-tune an open-source model on their customer service logs
Why it's wrong here
Fine-tuning requires ML expertise and may not be quick to deploy.
- ✗
Build a custom LLM from scratch using the company's own data
Why it's wrong here
Building from scratch is prohibitively expensive and time-consuming for a small budget.
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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.