GENERATIVE-AI-LEADER VALID BRAINDUMPS EBOOK - GENERATIVE-AI-LEADER EXAM DUMPS PDF

Generative-AI-Leader Valid Braindumps Ebook - Generative-AI-Leader Exam Dumps Pdf

Generative-AI-Leader Valid Braindumps Ebook - Generative-AI-Leader Exam Dumps Pdf

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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q20-Q25):

NEW QUESTION # 20
A company wants a generative AI platform that provides the infrastructure, tools, and pre-trained models needed to build, deploy, and manage its generative AI solutions. Which Google Cloud offering should the company use?

  • A. Vertex AI
  • B. BigQuery
  • C. Google Cloud Storage
  • D. Google Kubernetes Engine (GKE)

Answer: A

Explanation:
Vertex AI is Google Cloud's unified machine learning platform that provides end-to-end support for the ML lifecycle, including access to pre-trained models (foundation models), tools for fine-tuning, deployment, and management of generative AI solutions. BigQuery is a data warehouse, GKE is for container orchestration, and Cloud Storage is for object storage; while they might be components used with Vertex AI, they are not the comprehensive generative AI platform themselves.
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NEW QUESTION # 21
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. Unsupervised learning
  • B. Deep learning
  • C. Supervised learning
  • D. Reinforcement learning

Answer: D

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 # 22
A company is defining their generative AI strategy. They want to follow Google-recommended practices to increase their chances of success. Which strategy should they use?

  • A. Bottom-up strategy
  • B. Top-down strategy
  • C. Multi-directional strategy
  • D. Rapid implementation strategy

Answer: B

Explanation:
Google Cloud often recommends a "top-down" approach for generative AI strategy. This means starting with clear business objectives and leadership alignment on how generative AI can solve critical business problems, rather than simply experimenting from the bottom up without a clear strategic direction.
________________________________________


NEW QUESTION # 23
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. copyright
  • B. Gemma
  • C. Veo
  • D. Imagen

Answer: B

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, copyright is typically larger and more general-purpose, and Imagen is for image generation.
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NEW QUESTION # 24
An organization wants granular control over who can use and see their generative AI models and related resources on Google Cloud. Which Google Cloud security offering is specifically for this purpose?

  • A. Identity and Access Management
  • B. Security Command Center
  • C. Secure-by-design infrastructure
  • D. Workload monitoring tools

Answer: A

Explanation:
Identity and Access Management (IAM) is the fundamental Google Cloud service that allows you to define who has what access to which resources. It provides granular control over permissions for users, groups, and service accounts, including access to generative AI models and related data.
________________________________________


NEW QUESTION # 25
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