GENERATIVE-AI-LEADER LATEST STUDY PLAN & 100% GENERATIVE-AI-LEADER ACCURACY

Generative-AI-Leader Latest Study Plan & 100% Generative-AI-Leader Accuracy

Generative-AI-Leader Latest Study Plan & 100% Generative-AI-Leader Accuracy

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

NEW QUESTION # 45
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. Google Kubernetes Engine (GKE)
  • B. BigQuery
  • C. Google Cloud Storage
  • D. Vertex AI

Answer: D

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 # 46
A large e-commerce company with a vast and frequently updated product catalog finds that customers struggle to find products on their website, and support agents spend too much time finding detailed product information. The company wants to improve search accuracy and efficiency for both customers and support.
What Google Cloud solution should they use?

  • A. Vertex AI Natural Language API
  • B. Pre-built RAG with Vertex AI Search
  • C. Vertex AI Model Garden
  • D. Vertex AI Conversation

Answer: B

Explanation:
This scenario strongly points to the need for accurate and up-to-date information retrieval from a product catalog. Pre-built RAG (Retrieval-Augmented Generation) combined with Vertex AI Search is the ideal solution. Vertex AI Search can index the product catalog, and RAG can then use thisindexed data to ground the responses of a generative AI model, ensuring that both customer searches and support agent queries retrieve precise and relevant product information.
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NEW QUESTION # 47
A company wants to create an AI-powered educational solution that provides personalized learning experiences for students. This platform will assess a student's knowledge, recommend relevant learning materials, and generate personalized exercises. The application would provide the structure for lessons and track progress. What type of AI solution should they use?

  • A. A customized learning agent
  • B. A learning management system (LMS)
  • C. A large language model fine-tuned on educational content
  • D. An AI-powered recommendation system for learning resources

Answer: A

Explanation:
The request goes beyond just recommendations or content generation. It involves assessing knowledge, recommending materials, generating personalized exercises, providing lesson structure, and tracking progress.
This implies a more comprehensive, intelligent system that acts as an assistant or tutor for the student, which is best described as a customized learning agent. This agent would likely leverage LLMs and recommendation systems as components, but the overall solution is an agent.
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NEW QUESTION # 48
What does Vertex AI Search enable companies to do?

  • A. To surface the most popular and frequently accessed content based on global user search patterns and trends.
  • B. To ground LLM responses with first-party data, third-party data, and Google's knowledge graph.
  • C. To compare products from numerous online retailers, allowing users to find the best deals and product options across the internet.
  • D. To index and retrieve information from the entire public web, providing a comprehensive view of publicly available data.

Answer: B

Explanation:
Vertex AI Search is designed to enable powerful search experiences over an organization's own data (first- party), external data (third-party), and can leverage Google's knowledge graph to provide more relevant and accurate responses, especially when grounding Large Language Models (LLMs). It does not index the entire public web like Google Search.
________________________________________


NEW QUESTION # 49
The office of the CISO wants to use generative AI (gen AI) to help automate tasks like summarizing case information, researching threats, and taking actions like creating detection rules. What agent should they use?

  • A. Customer service agent
  • B. Code agent
  • C. Security agent
  • D. Data agent

Answer: C

Explanation:
Given the tasks


NEW QUESTION # 50
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