Generative AI Leader Practice Questions & Answers • ExamPrepare

40 questions in this view

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Question 1

What will Google Cloud's Agent Assist help a company achieve?

The ability to provide real-time assistance and recommended responses to live customer service agents during their interactions.
The ability to build and deploy deterministic and generative chatbot agents for automated customer support.
The infrastructure to provide an enterprise-grade contact center solution with omnichannel support, routing, and integration with CRM systems.
The ability to analyze conversational data to identify customer sentiment, common topics of discussion, and insights into agent performance and customer experience.

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Question 2

A company collects customer feedback through open-ended survey questions where customers can write detailed responses in their own words, such as "The product was easy to use, and the customer support was excellent, but the delivery took longer than expected." What type of data is this?

Unstructured data
Quantitative data
Labeled data
Structured data

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Question 3

A large company is creating their generative AI (gen AI) solution by using Google Cloud's offerings. They want to ensure that their mid-level managers contribute to a successful gen AI rollout by following Google-recommended practices. What should the mid-level managers do?

Perform continuous testing, measurement, and refinement based on user feedback and real-world performance data.
Create a robust data strategy to ensure teams can access high-quality, relevant data that is appropriate for training and fine-tuning gen AI models.
Secure funding and resources for AI initiatives by demonstrating the potential return on investment to the chief financial officer (CFO).
Drive gen AI adoption by identifying high-impact, feasible solutions that address specific challenges within their workflows.

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Question 4

A software developer needs a highly efficient, open-source large language model that can be fine-tuned on a local machine for rapid prototyping of a chatbot application. They require a model that offers strong performance in natural language understanding and generation, while being lightweight enough to run on limited hardware. Which Google-developed family of models should they use?

Gemini
Gemma
Imagen
Veo

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Question 5

What is the continuous cycle of observing, interpreting, planning, and acting that makes up an AI agent's "thinking process"?

User interface
Platform integration
Reasoning loop
Model training

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Question 6

A customer service team wants to use generative AI to improve the quality and consistency of their email responses to customer inquiries. They need a solution that can guide the AI to adopt a helpful, empathetic tone while adhering to company policies. Which prompting technique should they use?

Role prompting that instructs the AI to act as an experienced customer service representative with corporate knowledge.
One-shot prompting that provides a single example of a good customer service email.
Prompt chaining that engages the AI in a conversation to gather the necessary information before generating the email response.
Few-shot prompting that provides examples of good and bad customer service emails.

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