GENERATIVE-AI-LEADER · Question #47
GENERATIVE-AI-LEADER Question #47: Real Exam Question with Answer & Explanation
The correct answer is D: Use Vertex AI Studio to fine-tune a model with sample inventory data.. 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 ma
Question
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 dat
Options
- AThey want the most cost-effective solution. What should the organization do?
- BBuild a custom API instead of using the gen AI agent.
- CUse pre-built gen AI chatbots for inventory questions.
- DUse Vertex AI Studio to fine-tune a model with sample inventory data.
- EUse Google Cloud databases and Vertex AI for the agent to get live data.
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.
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