GUARANTEED GENERATIVE-AI-LEADER QUESTIONS ANSWERS PASS CERTIFY| LATEST GENERATIVE-AI-LEADER TEST SAMPLE ONLINE: GOOGLE CLOUD CERTIFIED - GENERATIVE AI LEADER EXAM

Guaranteed Generative-AI-Leader Questions Answers Pass Certify| Latest Generative-AI-Leader Test Sample Online: Google Cloud Certified - Generative AI Leader Exam

Guaranteed Generative-AI-Leader Questions Answers Pass Certify| Latest Generative-AI-Leader Test Sample Online: Google Cloud Certified - Generative AI Leader Exam

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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q11-Q16):

NEW QUESTION # 11
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.


NEW QUESTION # 12
A software development team wants to use generative AI (gen AI) to code faster so they can launch their software prototype quicker. What should the team do?

  • A. Use gen AI to identify potential bugs and security vulnerabilities in their code.
  • B. Use gen AI to suggest code snippets and complete functions.
  • C. Use gen AI to refactor and optimize existing code.
  • D. Use gen AI to automatically generate comprehensive documentation for their code.

Answer: B

Explanation:
While generative AI can assist with all the options listed (refactoring, documentation, bug identification), its most direct and significant impact on coding faster for a prototype is through code generation. Suggesting code snippets and completing functions directly accelerates the writing of new code, enabling quicker prototyping.
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NEW QUESTION # 13
The office of the CISO wants to use generative AI (gen AI) to help automate tasks like summarizing case information, researching threats, and taking actions like creating detection rules. What agent should they use?

  • A. Customer service agent
  • B. Code agent
  • C. Data agent
  • D. Security agent

Answer: D

Explanation:
Given the tasks


NEW QUESTION # 14
A company wants to use generative AI to create a chatbot that can answer customer questions about their products and services. They need to ensure that the chatbot only uses information from the company's official documentation. What should the company do?

  • A. Use grounding.
  • B. Use prompt chaining.
  • C. Use role prompting.
  • D. Adjust the temperature parameter.

Answer: A

Explanation:
Grounding is the technique of "grounding" the LLM's responses in specific, authoritative data sources (like the company's official documentation). This prevents the model from "hallucinating" or providing information outside of the approved knowledge base, ensuring accuracy and relevance to the company's specific products and services.
________________________________________


NEW QUESTION # 15
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. Ensuring that the AI application can automatically rank all candidates without requiring human review.
  • B. Focusing on minimizing the processing time for each application to improve efficiency.
  • C. Integrating the AI application with various job boards to maximize candidate reach.
  • D. Ensuring AI operates transparently, especially regarding application evaluation and data usage.

Answer: D

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 # 16
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