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High-quality Generative-AI-Leader Free Braindumps | Easy To Study and Pass Exam at first attempt & Reliable Generative-AI-Leader: Google Cloud Certified - Generative AI Leader Exam

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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q46-Q51):

NEW QUESTION # 46
A company's large learning model (LLM) is producing hallucinations that are a result of the Knowledge cutoff. How does retrieval-augmented generation (RAG) overcome this limitation?

  • A. RAG uses human oversight to ensure accuracy before presenting information to the customer.
  • B. RAG enhances the creative writing capabilities of the LLM to generate more engaging and informative responses.
  • C. RAG fine-tunes the LLM on specific customer query patterns to improve the speed and efficiency of response generation.
  • D. RAG enables the LLM to retrieve relevant and up-to-date information from knowledge sources.

Answer: D

Explanation:
The primary purpose of RAG is to address the "knowledge cutoff" and hallucination issues of LLMs. It does this by retrieving relevant, up-to-date information from external knowledge sources (like databases or documents) at inference time and then using this retrieved information to ground the LLM's generation, ensuring factual accuracy and relevance to the specific query.
________________________________________


NEW QUESTION # 47
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. Pre-built RAG with Vertex AI Search
  • B. Vertex AI Model Garden
  • C. Vertex AI Conversation
  • D. Vertex AI Natural Language API

Answer: A

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 # 48
What does Vertex AI Search enable companies to do?

  • A. To index and retrieve information from the entire public web, providing a comprehensive view of publicly available data.
  • 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 surface the most popular and frequently accessed content based on global user search patterns and trends.

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

Answer: C

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.
________________________________________


NEW QUESTION # 50
A company is exploring Google Agentspace to improve how its employees search for information on their enterprise systems and automate certain tasks. What is the key business advantage of using Agentspace?

  • A. Enhanced real-time communication and collaboration among team members.
  • B. Improved productivity and data interaction using AI assistants and advanced document analysis.
  • C. Greater interoperability with legacy software systems and databases.
  • D. More granular control over support team access and permissions for sensitive data.

Answer: B

Explanation:
Google Agentspace (or similar agent platforms) is designed to empower employees with AI-powered assistants that can navigate and interact with enterprise systems, analyze documents, and automate tasks. This directly leads to improved employee productivity and more efficient data interaction by leveraging AI to streamline workflows and provide faster access to information.


NEW QUESTION # 51
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