Quick Answer
The answer is Codey. Codey is the correct choice because it is a family of foundation models within Vertex AI specifically fine-tuned for code generation, completion, and chat from natural language prompts, making it the ideal model for translating human instructions into functional code. On the Google Cloud Generative AI Leader exam, this question tests your ability to match the correct model to its primary domain, as Vertex AI Model Garden offers a curated selection of specialized models. A common trap is confusing Codey with other models like Imagen (image generation) or Chirp (speech), but the key differentiator is that Codey is purpose-built for code-related tasks. For a quick memory tip, think of Codey as “Code-ie” — the model that writes code, not pictures or audio.
This Generative AI Leader practice question tests your understanding of google cloud's generative ai offerings. 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 company is using Vertex AI Model Garden to discover and test various foundation models. They need a model that can generate code from natural language. Which model should they select?
Chirp
Why wrong: Chirp is for speech generation.
Codey
Codey models are optimized for code-related tasks.
Med-PaLM
Why wrong: Med-PaLM is for medical question answering.
Imagen
Why wrong: Imagen is for image generation.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Codey
Codey models are specifically designed for code generation and completion. Imagen generates images, Chirp generates speech, Med-PaLM is for medical domain.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
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 for speech generation.
Codey
Why this is correct
Codey models are optimized for code-related tasks.
Related concept
Static NAT maps one inside address to one outside address.
Med-PaLM
Why it's wrong here
Med-PaLM is for medical question answering.
Imagen
Why it's wrong here
Imagen is for image generation.
Common exam traps
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
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. NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated. 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
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related Generative AI Leader NAT questions on configuration and troubleshooting.
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FAQ
Google Cloud's Generative AI Offerings — This question tests Google Cloud's Generative AI Offerings — Static NAT maps one inside address to one outside address..
The correct answer is: Codey — Codey models are specifically designed for code generation and completion. Imagen generates images, Chirp generates speech, Med-PaLM is for medical domain.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related Generative AI Leader NAT questions on configuration and troubleshooting.
Static NAT maps one inside address to one outside address.
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Last reviewed: Jun 23, 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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