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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q32-Q37):

NEW QUESTION # 32
What will Google Cloud's Agent Assist help a company achieve?

A. The infrastructure to provide an enterprise-grade contact center solution with omnichannel support, routing, and integration with CRM systems.
B. The ability to provide real-time assistance and recommended responses to live customer service agents during their interactions.
C. The ability to analyze conversational data to identify customer sentiment, common topics of discussion, and insights into agent performance and customer experience.
D. The ability to build and deploy deterministic and generative chatbot agents for automated customer support.

Answer: B

Explanation:
Google Cloud's Agent Assist is specifically designed to augment human customer service agents. It provides real-time suggestions, retrieves relevant information, and offers recommended responses to agents during live interactions, improving their efficiency and consistency.
________________________________________

NEW QUESTION # 33
What does Vertex AI Search enable companies to do?

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

Answer: D

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 # 34
What is a primary benefit of using a multi-agent system?

A. To serve as a platform for hosting traditional, non-AI applications.
B. To manage complex tasks that demand coordinated AI functions.
C. To simplify the most basic and repetitive rule-based tasks.
D. To consolidate all unique AI functions into a single, undifferentiated model.

Answer: B

Explanation:
Multi-agent systems are designed to tackle complex problems by breaking them down into sub-tasks, where each agent specializes in a specific function. These agents then coordinate and collaborate to achieve a larger, more intricate goal that a single, monolithic AI model might struggle with.
________________________________________

NEW QUESTION # 35
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. Integrating the AI application with various job boards to maximize candidate reach.
B. Ensuring AI operates transparently, especially regarding application evaluation and data usage.
C. Focusing on minimizing the processing time for each application to improve efficiency.
D. Ensuring that the AI application can automatically rank all candidates without requiring human review.

Answer: B

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.
________________________________________

NEW QUESTION # 36
A financial services company receives a high volume of loan applications daily submitted as scanned documents and PDFs with varying layouts. The manual process of extracting key information is time- consuming and prone to errors. This causes delays in loan processing and impacts customer satisfaction. The company wants to automate the extraction of this critical data to improve efficiency and accuracy. Which Google Cloud tool should they use?

A. Vision AI
B. Natural Language API
C. Dataflow
D. Document AI API

Answer: D

Explanation:
Document AI API is specifically designed for intelligent document processing. It uses machine learning to extract structured data from unstructured documents like scanned forms and PDFs, even with varying layouts.
This directly addresses the challenge of automating data extraction from loan applications. Natural Language API focuses on text understanding, Vision AI on image analysis (not structured extraction from documents), and Dataflow is for data processing pipelines.
________________________________________

NEW QUESTION # 37
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