- A
Chirp
Why wrong: Chirp is a speech recognition and generation model.
- B
Codey
Why wrong: Codey generates code, not video.
- C
Gemini (multimodal)
Why wrong: Gemini understands video and text but does not generate video; it can be used to refine prompts but not generate the final video.
- D
Veo
Veo is Google's generative video model that creates videos from text prompts.
- E
Imagen
Why wrong: Imagen generates images, not video.
Question 932 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 media company wants to generate video content from text descriptions. They need a Google Cloud solution that can produce high-quality videos with realistic motion. Which TWO services should they consider?
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 creates high-quality videos with realistic motion from text descriptions. It leverages diffusion transformers and temporal coherence techniques to ensure smooth, lifelike movement across frames, making it the correct choice for this use case.
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.
- ✗
Chirp
Why it's wrong here
Chirp is a speech recognition and generation model.
- ✗
Codey
Why it's wrong here
Codey generates code, not video.
- ✗
Gemini (multimodal)
Why it's wrong here
Gemini understands video and text but does not generate video; it can be used to refine prompts but not generate the final video.
- ✓
Veo
Why this is correct
Veo is Google's generative video model that creates videos from text prompts.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Imagen
Why it's wrong here
Imagen generates images, not video.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Candidates may confuse Imagen (text-to-image) or Gemini (multimodal) as capable of video generation, but only Veo is purpose-built for high-quality video synthesis with realistic motion in Google Cloud's generative AI portfolio.
Detailed technical explanation
How to think about this question
Veo uses a cascaded diffusion model with temporal layers that enforce frame-to-frame consistency, enabling it to generate 1080p videos up to 60 seconds long. It also supports advanced controls like camera motion (e.g., pan, zoom) and style transfer, which are critical for media production workflows where realistic motion and cinematic quality are required.
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 creates high-quality videos with realistic motion from text descriptions. It leverages diffusion transformers and temporal coherence techniques to ensure smooth, lifelike movement across frames, making it the correct choice for this use case.
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.
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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 →
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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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