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Generative-AI-Leader
Google Cloud Certified - Generative AI Leader Exam
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Questions and Answers in PDF Format.
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Version product
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, Latest Version: 6.4
Question: 1
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.
Answer: D
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.
Question: 2
A pharmaceutical company's research and development department spends significant time
manually reviewing new scientific papers to identify potential drug targets. They need a solution
that can answer questions about these documents and provide summarized insights to
researchers without requiring extensive coding expertise. What should the organization do?
A. Use Gemini for Google Workspace to facilitate collaborative document review.
B. Use Vertex AI Search to index the papers and enable keyword-based searches.
C. Use Vertex AI AutoML to train a model that classifies papers into predefined research areas.
D. Use Vertex AI Agent Builder to create a custom AI agent.
Answer: D
Explanation:
Visit us at: https://examkill.com/generative-ai-leader
Generative-AI-Leader
Google Cloud Certified - Generative AI Leader Exam
Up to Date products, reliable and verified.
Questions and Answers in PDF Format.
For More Information – Visit link below:
Web: www.examkill.com/
Version product
Visit us at: https://examkill.com/generative-ai-leader
, Latest Version: 6.4
Question: 1
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.
Answer: D
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.
Question: 2
A pharmaceutical company's research and development department spends significant time
manually reviewing new scientific papers to identify potential drug targets. They need a solution
that can answer questions about these documents and provide summarized insights to
researchers without requiring extensive coding expertise. What should the organization do?
A. Use Gemini for Google Workspace to facilitate collaborative document review.
B. Use Vertex AI Search to index the papers and enable keyword-based searches.
C. Use Vertex AI AutoML to train a model that classifies papers into predefined research areas.
D. Use Vertex AI Agent Builder to create a custom AI agent.
Answer: D
Explanation:
Visit us at: https://examkill.com/generative-ai-leader
