Authorized Google Generative-AI-Leader Certification | Generative-AI-Leader Trustworthy Dumps

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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q35-Q40):

NEW QUESTION # 35
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 Model Garden
B. Vertex AI Natural Language API
C. Vertex AI Conversation
D. Pre-built RAG with Vertex AI Search

Answer: D

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.
________________________________________

NEW QUESTION # 36
A company wants to use an AI agent to automate some tasks. They want everyone to understand the different functions of an AI agent. What is the function of an AI agent in the context of gen AI?

A. To provide the computational resources needed to train and run gen AI models.
B. To analyze situations, use multiple tools, and make informed decisions without requiring constant human input.
C. To store and manage large datasets used for training and running gen AI models.
D. To provide a user-friendly interface for interacting with gen AI models.

Answer: B

Explanation:
An AI agent, especially in the context of generative AI, is designed to be more autonomous and capable than a simple model. Its function is to understand a goal, analyze a situation, leverage various tools (including other generative AI models or external APIs), and make decisions or take actions to achieve that goal, often with minimal human intervention.
________________________________________

NEW QUESTION # 37
What is the definition of generative AI?

A. A type of artificial intelligence that can create new content and ideas, including text, images, music, and code.
B. A type of artificial intelligence that enables a system to autonomously learn and improve using neural networks and deep learning.4
C. A type of machine learning algorithm inspired by the human brain that is made up of interconnected nodes.
D. A type of predictive model that estimates a relationship by fitting a line to the observed data.

Answer: A

Explanation:
The defining characteristic of generative AI is its ability to create new, original content that resembles its training data. This includes various modalities like text, images, music, and code, rather than just classifying, predicting, or analyzing existing data.
________________________________________

NEW QUESTION # 38
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. Data agent
B. Code agent
C. Security agent
D. Customer service agent

Answer: C

Explanation:
Given the tasks

NEW QUESTION # 39
A logistics company wants to use a generative AI (gen AI) agent to automatically check real-time inventory levels across its warehouses and adjust delivery schedules. The gen AI agent needs access to internal inventory data. They want the most cost-effective solution. What should the organization do?

A. Use Google Cloud databases and Vertex AI for the agent to get live data.
B. Build a custom API instead of using the gen AI agent.
C. Use pre-built gen AI chatbots for inventory questions.
D. Use Vertex AI Studio to fine-tune a model with sample inventory data.

Answer: A

Explanation:
To achieve real-time inventory checks and adjust delivery schedules, the generative AI agent needs live access to the company's internal inventory data. Google Cloud databases provide the structured storage for this data, and Vertex AI offers the platform to build, deploy, and manage the AI agent, including connecting it to these live data sources. This approach allows the agent to make informed decisions based on current information. Building a custom API for every interaction might be less cost-effective in the long run for dynamic inventory data. Pre-built chatbots might not have the direct integration needed for real-time adjustments, and fine-tuning with sample data wouldn't provide the live data access required.

NEW QUESTION # 40
......

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Authorized Google Generative-AI-Leader Certification | Generative-AI-Leader Trustworthy Dumps

Quiz Generative-AI-Leader - Google Cloud Certified - Generative AI Leader Exam –Efficient Authorized Certification

Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q35-Q40):

Google Cloud Certified - Generative AI Leader Exam Pass4sure Test - Generative-AI-Leader Pdf Vce & Generative-AI-Leader Latest Reviews

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