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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q18-Q23):

NEW QUESTION # 18
A data science team needs a centralized and organized location to store its various model versions, track their metadata, and easily deploy them to the respective applications. What Google Cloud service should they use?

A. Vertex AI Pipelines
B. BigQuery
C. Model Registry
D. Cloud Storage

Answer: C

Explanation:
A Model Registry (specifically part of Vertex AI Model Registry) is designed precisely for managing the lifecycle of machine learning models. It provides a centralized repository for storing, versioning, tracking metadata, and facilitating the deployment of models, which is essential for MLOps. Cloud Storage is for raw data, BigQuery for data warehousing, and Vertex AI Pipelines for workflow orchestration.
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NEW QUESTION # 19
An organization with a team of live customer service agents wants to improve agent efficiency and customer satisfaction during support interactions. They are looking for a tool that can provide real-time guidance to agents, suggest helpful information, and streamline the support process without fully automating customer conversations. Which component of Google's Customer Engagement Suite should they use?

A. Google Cloud Contact Center as a Service
B. Conversational Agents
C. Agent Assist
D. Conversational Insights

Answer: C

Explanation:
As previously mentioned, Agent Assist is specifically designed for real-time support to human agents, providing them with suggestions and relevant information during live customer interactions. Conversational Agents (chatbots) automate interactions, Conversational Insights analyze conversations after they occur, and Contact Center as a Service is the broader infrastructure.
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NEW QUESTION # 20
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 analyze situations, use multiple tools, and make informed decisions without requiring constant human input.
B. To provide the computational resources needed to train and run gen AI models.
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: A

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.
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NEW QUESTION # 21
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. Greater interoperability with legacy software systems and databases.
B. Improved productivity and data interaction using AI assistants and advanced document analysis.
C. Enhanced real-time communication and collaboration among team members.
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 # 22
A human resources team is implementing a new generative AI application to assist the department in screening a large volume of job applications. They want to ensure fairness and build trust with potential candidates. What should the team prioritize?

A. Focusing on minimizing the processing time for each application to improve efficiency.
B. Ensuring that the AI application can automatically rank all candidates without requiring human review.
C. Ensuring AI operates transparently, especially regarding application evaluation and data usage.
D. Integrating the AI application with various job boards to maximize candidate reach.

Answer: C

Explanation:
To ensure fairness and build trust, especially in sensitive areas like job applications, transparency in how AI evaluates applications and uses data is paramount. This involves understanding potential biases, explaining decisions (where possible), and ensuring human oversight.
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NEW QUESTION # 23
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