easyMultiple Choice

Generative AI Leader Practice Question: Generate marketing images for a new product…

A company wants to generate marketing images for a new product launch using GenAI. Which Google Cloud service should they use?

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

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Vertex AI Imagen

Imagen on Vertex AI is Google Cloud's image generation model, available through Vertex AI APIs or Model Garden.

Answer analysis

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

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Gemini for Google Workspace
Why it's wrong here
Gemini for Google Workspace generates text and images inside Docs, Gmail and Slides, but it is a productivity assistant tied to Workspace apps, not a Google Cloud image-generation API. It would suit drafting campaign copy or slide visuals for staff already in Workspace, not building product-launch imagery through Vertex AI's Imagen models.
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Vertex AI Agent Builder
Why it's wrong here
Agent Builder builds conversational search and chat agents over enterprise data using Vertex AI Search; it orchestrates retrieval and dialogue, not pixel synthesis. It would be the right pick for a support bot answering product questions, but it cannot generate marketing images, which requires an Imagen text-to-image model.
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Vertex AI Model Garden
Why it's wrong here
Model Garden is a catalogue for discovering, testing and deploying third-party and Google foundation models; browsing it is not itself image generation. It would be correct when selecting or fine-tuning a model, but the scenario needs an Imagen model invoked to produce the actual marketing images.
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Vertex AI Imagen
Why this is correct
Vertex AI Imagen generates photorealistic images from text prompts, directly satisfying the marketing image requirement. Unlike Vertex AI's text or code models, Imagen is purpose-built for image synthesis, so it produces launch-ready visuals without custom training. This matches the scenario's need for GenAI-generated product marketing imagery.

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