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Generative AI Leader Practice Question: A developer needs to integrate a GenAI model into…

A developer needs to integrate a GenAI model into an existing customer relationship management (CRM) system. The CRM exposes REST APIs and runs on-premises. Which integration pattern is MOST suitable?

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

Implement an API-first integration by calling Vertex AI API from the CRM's backend

API-first integration using Vertex AI API allows any system with HTTP capabilities to call the GenAI model. Workspace add-ons and Apps Script are for Google Workspace only. Fine-tuning doesn't help with integration.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Use Apps Script to call the model from Google Sheets

    Why it's wrong here

    Apps Script is limited to Google Workspace apps and won't integrate with an on-premises CRM's REST APIs.

  • Fine-tune a model on CRM data and deploy it on-premises

    Why it's wrong here

    Fine-tuning does not address integration; deploying on-premises is a separate infrastructure decision and adds complexity.

  • Implement an API-first integration by calling Vertex AI API from the CRM's backend

    Why this is correct

    Vertex AI API can be called via HTTPS from any system that supports REST, making it ideal for integrating with an on-premises CRM.

  • Build a custom Google Workspace add-on

    Why it's wrong here

    Workspace add-ons only integrate with Google Workspace applications, not an on-premises CRM.

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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.