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Google Generative-AI-Leader Exam

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Viewing Questions 21 30 out of 48 Questions
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Question 21
What will Google Cloud’s Agent Assist help a company achieve?
A. The ability to analyze conversational data to identify customer sentiment, common topics of discussion, and insights into agent performance and customer experience.
B. The ability to provide real-time assistance and recommended responses to live customer service agents during their interactions.
C. The infrastructure to provide an enterprise-grade contact center solution with omnichannel support, routing, and integration with CRM systems.
D. The ability to build and deploy deterministic and generative chatbot agents for automated customer support.

Question 22
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. BigQuery
B. Google Kubernetes Engine (GKE)
C. Google Cloud Storage
D. Vertex AI

Question 23
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. More granular control over support team access and permissions for sensitive data.
C. Improved productivity and data interaction using AI assistants and advanced document analysis.
D. Greater interoperability with legacy software systems and databases.

Question 24
An organization wants granular control over who can use and see their generative AI models and related resources on Google Cloud. Which Google Cloud security offering is specifically for this purpose?
A. Workload monitoring tools.
B. Secure-by-design infrastructure.
C. Identity and Access Management.
D. Security Command Center.

Question 25
A large ecommerce company with a substantial product catalog and many support documents has customers struggling to find information on their website. This leads to high support costs and poor user experience. The company wants a Google Cloud solution to improve website search and reduce support costs while improving customer satisfaction. What Google Cloud product should the company use?
A. Google Shopping
B. Google Search
C. Vertex AI Search
D. Vertex AI Platform


Question 26
A company wants to adopt generative AI and is concerned about vendor lock-in. They want to maintain flexibility in their technology stack. What Google Cloud strength would ease their concerns?
A. Google Cloud’s strict adherence to proprietary technologies ensures the highest level of security and performance.
B. Google Cloud’s AI solutions are pre-packaged for easy deployment, eliminating the need for customization and integration efforts.
C. Google Cloud’s AI solutions have an open approach that supports customer choice across offerings.
D. Google Cloud’s focus on automation aims to replace human jobs with AI systems, potentially leading to significant workforce reductions.

Question 27
A company’s sales team spends a significant amount of time researching potential leads and manually entering data into their customer relationship management (CRM) tool. They want to improve the team’s efficiency and enable them to focus on building relationships and closing deals. What should the organization do?
A. Develop a custom AI solution using Google Cloud’s AutoML Natural Language to analyze lead communications and automatically update the CRM.
B. Implement Google Cloud’s Contact Center AI to qualify leads and route them to the appropriate sales representatives.
C. Implement Google Agentspace "unified enterprise search" including a CRM agent to automate lead research and data entry.
D. Integrate the CRM with a popular sales intelligence platform to automatically enrich lead profiles with valuable data.

Question 28
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. Build a custom API instead of using the gen AI agent.
B. Use pre-built gen AI chatbots for inventory questions.
C. Use Vertex AI Studio to fine-tune a model with sample inventory data.
D. Use Google Cloud databases and Vertex AI for the agent to get live data.

Question 29
An organization needs an AI tool to analyze and summarize lengthy customer feedback text transcripts. You need to choose a Google foundation model with a large context window. What foundation model should the organization choose?
A. Gemini
B. CodeGemma
C. Imagen
D. Chirp

Question 30
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 speed 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 Conversation
B. Vertex AI Natural Language API
C. Pre-built RAG with VERTEX AI Search
D. Vertex AI Model Garden



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