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Generative AI Leader Practice Question: Generate a video from a text description using…
A company wants to generate a video from a text description using Google Cloud. Which service is designed for this?
⚠ Common exam trap
Candidates often confuse Imagen (text-to-image) with Veo (text-to-video), assuming any generative visual model can handle video, but Google Cloud explicitly separates these capabilities into distinct services.
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
✓
Veo
Veo is Google Cloud's generative AI model specifically designed for creating high-quality videos from text or image prompts. It leverages advanced diffusion and transformer architectures to generate coherent video sequences, making it the correct choice for text-to-video generation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Codey
Why it's wrong here
Codey is a family of code-generation models that produce or complete source code from natural-language prompts. It suits developer assistance tasks, but it outputs text code rather than video frames, so it cannot satisfy a text-to-video requirement.
- ✗
Chirp
Why it's wrong here
Chirp is a speech model family used for text-to-speech and speech-to-text conversion. It is correct when the requirement is synthesising or transcribing audio, but it produces audio output, not video, so it cannot generate a video from a text description.
- ✗
Imagen
Why it's wrong here
Imagen generates images from text prompts, not video. It is the right choice for text-to-image tasks such as creating still artwork or product visuals, but generating a video from a description requires a video-generation model, which Imagen does not provide.
- ✓
Veo
Why this is correct
Veo is Google Cloud's generative video model, converting text prompts directly into video output. It satisfies the stem's requirement for text-to-video generation, unlike Vertex AI's text or image models. Veo handles prompt understanding, temporal consistency and rendering natively, making it the purpose-built service for this scenario.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.