Generative AI Leader Google Cloud's Generative AI Offerings Practice Question
A media company wants to automatically generate concise summaries of news articles using a generative AI model. They need a fully managed service that provides access to Google's foundation models without requiring machine learning expertise. Which Google Cloud offering should they choose?
⚠ Common exam trap
Many exam-takers confuse Vertex AI Model Garden, which hosts models but requires deployment, with the fully managed generative AI service that provides direct access to Gemini models.
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
✓
Generative AI on Vertex AI (Gemini models)
Generative AI on Vertex AI offers Gemini models as a fully managed service, enabling users to generate summaries via simple API calls without ML expertise. It provides pre-trained models that excel at summarization tasks. The other options are either model catalogs requiring configuration, custom ML training services, or specialized translation tools that do not perform summarization.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Vertex AI Model Garden
Why it's wrong here
Vertex AI Model Garden is a catalog of models that can be deployed, but it requires users to select and configure models, often needing ML expertise. It is not a fully managed summarization service; it is a platform for model discovery and deployment, which does not meet the need for a ready-to-use summarization solution.
- ✓
Generative AI on Vertex AI (Gemini models)
Why this is correct
Generative AI on Vertex AI provides access to Gemini models through a fully managed service, allowing users to generate summaries via API calls without ML expertise. It offers pre-trained models that can be used out-of-the-box, exactly matching the media company's need for automatic summarization of news articles.
- ✗
AutoML Natural Language
Why it's wrong here
AutoML Natural Language is designed for custom text classification and entity extraction, not for generative summarization. It requires training custom models with labeled data, which demands ML expertise and does not provide ready-to-use summarization capabilities, making it unsuitable for this scenario.
- ✗
Cloud Translation API
Why it's wrong here
Cloud Translation API is specialized for translating text between languages, not for summarizing content. It does not generate summaries and is not a generative AI service for text summarization, so it cannot fulfill the media company's requirement.
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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.