Generative AI Leader Google Cloud's Generative AI Offerings Practice Question
A small marketing agency wants to add a Google Cloud generative AI assistant that can summarize campaign documents stored in Google Drive and answer follow-up questions about them, with minimal development effort. Which Google Cloud offering should they choose?
⚠ Common exam trap
The trap here is assuming that any Google Cloud AI service can summarize documents, when only the Workspace-embedded Gemini offering provides that turnkey experience.
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
✓
Gemini for Google Workspace
Gemini for Google Workspace is the right choice because it brings generative AI into the productivity apps where the agency already stores and edits campaign documents. It can summarize Drive files and support conversational follow-up without custom engineering. The other services are building-block APIs or model catalogs that would require substantial integration work before delivering the same outcome.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Gemini for Google Workspace
Why this is correct
Gemini for Google Workspace embeds generative AI directly in Docs, Gmail, Drive, and related apps, so the agency can summarize Drive documents and ask follow-up questions without building anything. It is the lowest-effort fit for teams already working inside Workspace and needing document-grounded assistance.
- ✗
Vertex AI Model Garden
Why it's wrong here
Model Garden is a catalog for discovering, testing, and deploying foundation models through Vertex AI. Using it would require the agency to build an application, configure grounding with Drive data, and manage deployment, which contradicts the requirement for minimal development effort. It is a platform capability, not a ready-made Workspace assistant.
- ✗
Cloud Vision API
Why it's wrong here
Cloud Vision API analyzes images for labels, text, and objects, but it does not summarize prose documents or answer questions about them. Choosing it would leave the agency without any generative summarization capability. It is an image-understanding service, not a Workspace-integrated generative assistant.
- ✗
Google Cloud Speech-to-Text
Why it's wrong here
Speech-to-Text converts audio into written text and has no document summarization or question-answering capability. It would not help the agency summarize campaign documents in Drive, and it would add an unnecessary transcription step. This service addresses a different modality and a different business problem entirely.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Google Cloud exam blueprint
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.