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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q22-Q27):

NEW QUESTION # 22
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 role prompting.
• B. Use grounding.
• C. Adjust the temperature parameter.
• D. Use prompt chaining.

Answer: B

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.
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NEW QUESTION # 23
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. Identity and Access Management
• B. Secure-by-design infrastructure
• C. Security Command Center
• D. Workload monitoring tools

Answer: A

Explanation:
Identity and Access Management (IAM) is the fundamental Google Cloud service that allows you to define who has what access to which resources. It provides granular control over permissions for users, groups, and service accounts, including access to generative AI models and related data.
________________________________________

 

NEW QUESTION # 24
A social media platform uses a generative AI model to automatically generate summaries of user-submitted posts to provide quick overviews for other users. While the summaries are generally accurate for factual posts, the model occasionally misinterprets sarcasm, satire, or nuanced opinions, leading to summaries that misrepresent the original intent and potentially cause misunderstandings or offense among users. What should the platform do to overcome this limitation of the AI-generated summaries?

• A. Decrease the output length of the summaries to make them more concise.
• B. Increase the temperature parameter of the model to encourage more varied and less literal interpretations.
• C. Implement stricter safety settings to filter out potentially misinterpreted content altogether.
• D. Incorporate a human-in-the-loop (HITL) review process to refine the summaries.

Answer: D

Explanation:
When AI struggles with nuances like sarcasm or satire, human oversight is often the most effective solution.
A human-in-the-loop (HITL) process allows human reviewers to check, correct, and refine AI-generated content before it is published, ensuring accuracy and appropriateness, especially for sensitive or complex language.
________________________________________

 

NEW QUESTION # 25
An organization wants to use generative AI to create a chatbot that can answer customer questions about their account balances. They need to ensure that the chatbot can access previous portions of the conversation with the customer. Which prompting technique should they use?

• A. Use prompt chaining.
• B. Use role prompting.
• C. Use zero-shot prompting.
• D. Use few-shot prompting.

Answer: A

Explanation:
Prompt chaining (or conversational memory/context management) is the technique used to maintain the conversational context. It involves feeding previous turns of a conversation (or a summary of them) back into the model along with the current user query, allowing the chatbot to "remember" and reference past interactions for coherent and contextually relevant responses, especially crucial for tasks like checking account balances that span multiple turns.
________________________________________

 

NEW QUESTION # 26
A company wants to use an AI agent to automate some tasks. They want everyone to understand the different functions of an AI agent. What is the function of an AI agent in the context of gen AI?

• A. To provide a user-friendly interface for interacting with gen AI models.
• B. To store and manage large datasets used for training and running gen AI models.
• C. To provide the computational resources needed to train and run gen AI models.
• D. To analyze situations, use multiple tools, and make informed decisions without requiring constant human input.

Answer: D

Explanation:
An AI agent, especially in the context of generative AI, is designed to be more autonomous and capable than a simple model. Its function is to understand a goal, analyze a situation, leverage various tools (including other generative AI models or external APIs), and make decisions or take actions to achieve that goal, often with minimal human intervention.
________________________________________

 

NEW QUESTION # 27
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