Generative AI Leader Google Cloud's Generative AI Offerings Practice Question
A media company wants to produce short video clips from text prompts for social media campaigns. They need a Google Cloud service that can generate video from text and edit existing video clips, with enterprise-grade controls. Which Google Cloud offering should they choose?
⚠ Common exam trap
The trap here is assuming any multimodal model such as Gemini can generate video, when video synthesis specifically requires a dedicated video generation model like Veo.
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
✓
Vertex AI Veo
Veo on Vertex AI is purpose-built for generative video, producing clips from text or image prompts and supporting video editing. It is managed within Vertex AI, so organizations get enterprise security, access control, and compliance features. Other models in Vertex AI handle images, text, or speech, but not video generation and editing in one service.
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 Gemini
Why it's wrong here
Gemini is a multimodal model that can understand and generate text, images, and code, but it does not generate video files. It can describe or reason about video content, but it cannot synthesize new video clips from prompts. Thus, Gemini alone does not satisfy the requirement for video generation.
- ✓
Vertex AI Veo
Why this is correct
Veo on Vertex AI is Google Cloud's generative video model that creates high-quality video from text or image prompts and supports video editing capabilities. It is integrated with enterprise controls such as IAM, VPC Service Controls, and data governance, making it the right fit for a media company needing controlled video generation and editing.
- ✗
Vertex AI Imagen
Why it's wrong here
Imagen generates and edits images, not video. While it is a powerful generative model for still visuals, it cannot produce motion video clips or perform video editing tasks. The media company's need for text-to-video and video editing goes beyond Imagen's capabilities, so it fails the scenario.
- ✗
Vertex AI Chirp
Why it's wrong here
Chirp is a speech-to-text model used for transcription and speech understanding. It does not create or edit video content. The media company needs generative video output, so Chirp is irrelevant to this use case and would not fulfill the requirement.
Go deeper
Related to this question
About these practice questions
One of 1,008 original Generative AI Leader practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
JA
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.