- A
Gemini 1.5 Pro with image input
Why wrong: Gemini can process images but is not designed for text-to-image generation or inpainting.
- B
Codey on Vertex AI
Why wrong: Codey generates code, not images.
- C
Veo on Vertex AI
Why wrong: Veo generates videos, not still images; it does not offer image inpainting.
- D
Imagen on Vertex AI
Imagen is a text-to-image model that supports inpainting and editing capabilities through mask-based region editing.
Question 326 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 research team wants to generate high-quality images from text descriptions for a marketing campaign. They need the ability to edit specific regions of generated images while preserving the rest. Which Google Cloud AI 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
✓
Imagen on Vertex AI
Imagen supports inpainting (region editing via masks) natively. Gemini is multimodal but not primarily for image generation. Veo generates video, not images. Codey is for code.
Key principle: Count usable hosts — not total addresses — and remember that the network and broadcast addresses are not available to hosts in standard IPv4 subnets.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Gemini 1.5 Pro with image input
Why it's wrong here
Gemini can process images but is not designed for text-to-image generation or inpainting.
- ✗
Codey on Vertex AI
Why it's wrong here
Codey generates code, not images.
- ✗
Veo on Vertex AI
Why it's wrong here
Veo generates videos, not still images; it does not offer image inpainting.
- ✓
Imagen on Vertex AI
Why this is correct
Imagen is a text-to-image model that supports inpainting and editing capabilities through mask-based region editing.
Related concept
CIDR notation defines the prefix length.
Common exam traps
Common exam trap: usable hosts are not the same as total addresses
Subnetting questions often tempt you into counting all addresses. In normal IPv4 subnets, the network and broadcast addresses are not usable host addresses.
Detailed technical explanation
How to think about this question
Subnetting questions test whether you can identify the network, broadcast address, usable range, mask and correct subnet. Slow down enough to calculate the block size correctly.
KKey Concepts to Remember
- CIDR notation defines the prefix length.
- Block size helps identify subnet boundaries.
- Network and broadcast addresses are not usable hosts in normal IPv4 subnets.
- The required host count determines the smallest suitable subnet.
TExam Day Tips
- Write the block size before choosing the subnet.
- Check whether the question asks for hosts, subnets or a specific address range.
- Do not confuse /24, /25, /26 and /27 host counts.
Key takeaway
Count usable hosts — not total addresses — and remember that the network and broadcast addresses are not available to hosts in standard IPv4 subnets.
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. Count usable hosts — not total addresses — and remember that the network and broadcast addresses are not available to hosts in standard IPv4 subnets. 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.
Review block sizes, usable host formulas (2^n − 2), and how to find network and broadcast addresses for /24 through /30. Then practise related Generative AI Leader subnetting questions on CIDR, address ranges, and subnet selection.
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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 — CIDR notation defines the prefix length..
What is the correct answer to this question?
The correct answer is: Imagen on Vertex AI — Imagen supports inpainting (region editing via masks) natively. Gemini is multimodal but not primarily for image generation. Veo generates video, not images. Codey is for code.
What should I do if I get this Generative AI Leader question wrong?
Review block sizes, usable host formulas (2^n − 2), and how to find network and broadcast addresses for /24 through /30. Then practise related Generative AI Leader subnetting questions on CIDR, address ranges, and subnet selection.
What is the key concept behind this question?
CIDR notation defines the prefix length.
About these practice questions
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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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