Exam objective
GAILUse cases and strengths of Google's foundation models
This objective sits in Fundamentals of gen AI, which carries 30% of the Generative AI Leader exam. The questions below are original, written from the official objective title above, and each explanation cites the Google Cloud page it rests on.
Objective title verbatim from the official objectives. Google Cloud exam page ↗
A worked example
Shown solved, with the whole explanation open: this is what every question here carries.
A business needs to generate high quality images from text descriptions. Which Google model fits?
Correct.
Concept
Imagen is a text to image diffusion model that generates high quality images from text descriptions.
Why A
Generating images from text descriptions is Imagen's stated purpose.
Source
Google Cloud, Generative AI Leader study guide, checked August 2026Imagen: It's a text-to-image diffusion model that generates high-quality images from textual descriptions.
Now you: practice questions
No account needed. The explanation opens when you answer.
Sample question 1 of 3
A studio wants to produce video clips from text prompts or still images. Which Google model applies?
Sample question 2 of 3
A developer wants a user friendly, customizable Google model suited to local deployments. Which model fits?
Sample question 3 of 3
Which Google model supports multimodal understanding, conversational AI, content creation, and question answering?
That’s 3 of the full Generative AI Leader bank.
Keep going free: 10 questions per certification in bank practice, with no account.
Continue practisingRead the sources
These are the official pages the questions above cite. Reading them is studying the objective from the primary source, which is what the explanations point you toward anyway.