- A
Imagen
Why wrong: Imagen generates static images, not videos.
- B
Gemini Pro Vision
Why wrong: Gemini can process and generate text and images but not videos from text alone; Veo is purpose-built.
- C
Veo
Veo is Google's generative video model, capable of producing high-quality videos from text descriptions.
- D
Codey
Why wrong: Codey is for code generation.
Question 710 of 997
Generative AI Leader Generative AI Concepts and Technologies Practice Question
This Generative AI Leader practice question tests your understanding of generative ai concepts and technologies. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A startup wants to generate realistic product videos from text descriptions for social media ads. 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
✓
Veo
Veo is Google Cloud's advanced video generation model that can create high-quality, realistic videos from text prompts, making it the ideal choice for generating product videos for social media ads. Unlike other services, Veo is specifically designed for video synthesis, offering capabilities like style control and cinematic effects directly from text descriptions.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Imagen
Why it's wrong here
Imagen generates static images, not videos.
- ✗
Gemini Pro Vision
Why it's wrong here
Gemini can process and generate text and images but not videos from text alone; Veo is purpose-built.
- ✓
Veo
Why this is correct
Veo is Google's generative video model, capable of producing high-quality videos from text descriptions.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Codey
Why it's wrong here
Codey is for code generation.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse multimodal understanding (Gemini Pro Vision) with generative creation (Veo), or assume that image generation (Imagen) can be trivially extended to video without understanding the distinct temporal modeling required.
Detailed technical explanation
How to think about this question
Veo leverages a diffusion-based architecture that iteratively refines random noise into coherent video frames, conditioned on the input text embedding. It supports temporal consistency across frames, allowing for smooth motion and scene transitions, which is critical for realistic ad content. In practice, Veo can generate videos up to 60 seconds in length with 1080p resolution, and it integrates with Vertex AI for scalable deployment and fine-tuning on brand-specific styles.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this Generative AI Leader question test?
Generative AI Concepts and Technologies — This question tests Generative AI Concepts and Technologies — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Veo — Veo is Google Cloud's advanced video generation model that can create high-quality, realistic videos from text prompts, making it the ideal choice for generating product videos for social media ads. Unlike other services, Veo is specifically designed for video synthesis, offering capabilities like style control and cinematic effects directly from text descriptions.
What should I do if I get this Generative AI Leader question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Last reviewed: Jul 4, 2026
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.
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