- A
Chirp
Why wrong: Chirp is for speech generation.
- B
Codey
Codey models are optimized for code-related tasks.
- C
Med-PaLM
Why wrong: Med-PaLM is for medical question answering.
- D
Imagen
Why wrong: Imagen is for image generation.
Question 780 of 997
Codey: Code Generation Model
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?
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.
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
✓
Codey
Codey is Google's family of models specifically designed for code generation, including converting natural language descriptions into code. It is built on the PaLM 2 architecture and is optimized for tasks like code completion, code generation, and code chat, making it the correct choice for generating code from natural language.
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 for speech generation.
- ✓
Codey
Why this is correct
Codey models are optimized for code-related tasks.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
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
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse Chirp (audio) or Imagen (image) with multimodal models, mistakenly thinking they can handle code generation, when in fact only Codey is purpose-built for code tasks.
Detailed technical explanation
How to think about this question
Codey models are fine-tuned on a large corpus of source code and natural language text, using a decoder-only transformer architecture that excels at understanding programming syntax and semantics. Under the hood, Codey uses a specialized tokenizer that handles code-specific tokens (e.g., indentation, brackets) and can generate code in multiple languages like Python, Java, and SQL. In a real-world scenario, a developer could use Codey via the Vertex AI Codey API to automatically generate boilerplate code for a REST API endpoint from a simple prompt like 'Create a Python function to handle a POST request with JSON input'.
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?
Google Cloud's Generative AI Offerings — This question tests Google Cloud's Generative AI Offerings — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Codey — Codey is Google's family of models specifically designed for code generation, including converting natural language descriptions into code. It is built on the PaLM 2 architecture and is optimized for tasks like code completion, code generation, and code chat, making it the correct choice for generating code from natural language.
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 →
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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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