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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q45-Q50):

NEW QUESTION # 45
A software developer needs a highly efficient, open-source large language model that can be fine-tuned on a local machine for rapid prototyping of a chatbot application. They require a model that offers strong performance in natural language understanding and generation, while being lightweight enough to run on limited hardware. Which Google-developed family of models should they use?

A. Gemma
B. Gemini
C. Imagen
D. Veo

Answer: A

Explanation:
Gemma is Google's family of lightweight, state-of-the-art open models, built from the same research and technology used to create the Gemini3 models. They are designed for developers to build innovative AI applications on their local machines or in the cloud, offering a balance of performance and efficiency suitable for limited hardware and rapid prototyping. Veo is for video generation, Gemini is typically larger and more general-purpose, and Imagen is for image generation.
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NEW QUESTION # 46
An organization needs an AI tool to analyze and summarize lengthy customer feedback text transcripts. You need to choose a Google foundation model with a large context window. What foundation model should the organization choose?

A. Gemini
B. Imagen
C. CodeGemma
D. Chirp

Answer: A

Explanation:
Gemini models are known for their large context windows, making them highly suitable for processing and summarizing lengthy texts like customer feedback transcripts. CodeGemma is specialized for code, Imagen for image generation, and Chirp for speech.
________________________________________

NEW QUESTION # 47
A company is developing an AI character for a video game. The AI character needs to learn how to navigate a complex environment and make decisions to achieve certain objectives within the game. When the AI takes actions that lead to positive outcomes, like finding a reward or overcoming an obstacle, it receives a positive score. When it takes actions that lead to negative outcomes, like hitting a wall or losing progress, it receives a negative score. Through this process of trial and error, the AI gradually improves the character's ability to play the game effectively. What machine learning should the company use?

A. Deep learning
B. Reinforcement learning
C. Unsupervised learning
D. Supervised learning

Answer: B

Explanation:
This scenario perfectly describes reinforcement learning. In reinforcement learning, an agent learns to make decisions by interacting with an environment, receiving1 rewards for desirable actions and penalties for undesirable ones,2 and iteratively improving its behavior through trial and error to maximize cumulative reward.
________________________________________

NEW QUESTION # 48
A software development team wants to use generative AI (gen AI) to code faster so they can launch their software prototype quicker. What should the team do?

A. Use gen AI to refactor and optimize existing code.
B. Use gen AI to identify potential bugs and security vulnerabilities in their code.
C. Use gen AI to automatically generate comprehensive documentation for their code.
D. Use gen AI to suggest code snippets and complete functions.

Answer: D

Explanation:
While generative AI can assist with all the options listed (refactoring, documentation, bug identification), its most direct and significant impact on coding faster for a prototype is through code generation. Suggesting code snippets and completing functions directly accelerates the writing of new code, enabling quicker prototyping.
________________________________________

NEW QUESTION # 49
A company wants to choose a generative AI (gen AI) use case that will be successful and have the most impact. What key factor should they determine first according to Google Cloud-recommended practices?

A. The availability of pre-trained models that are offered on various cloud computing platforms.
B. The frequency of updates to the underlying foundation models used by different gen AI platforms.
C. The specific business problems the company aims to solve and the desired outcomes.
D. The number of employees who will be trained to use the new gen AI tools.

Answer: C

Explanation:
A fundamental principle for successful AI adoption, including generative AI, is to start with clear business problems and desired outcomes. Without a well-defined problem, the AI solution might not deliver meaningful value, regardless of the technology used. This "problem-first" approach is crucial for impactful AI strategy.
________________________________________

NEW QUESTION # 50
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High-quality Generative-AI-Leader - Google Cloud Certified - Generative AI Leader Exam Reliable Test Forum

Pass Guaranteed Quiz 2025 Google Generative-AI-Leader: Google Cloud Certified - Generative AI Leader Exam Pass-Sure Reliable Test Forum

Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q45-Q50):

Wonderful Generative-AI-Leader Exam Questions: Google Cloud Certified - Generative AI Leader Exam Exhibit the Most Useful Training Guide- PDFBraindumps

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