Question 1

A company is developing a generative AI application to analyze customer feedback collected through online surveys. Stakeholders are concerned about potential privacy risks associated with this data, as the feedback contains personally identifiable information (PII). They need to mitigate these risks before using the data to train the AI model. What action should the company prioritize?

Options :

A : Focusing on collecting only quantitative feedback data in future surveys.

B : Ensuring that the AI model is trained on a large and diverse dataset.

C : Implementing strong access controls to limit which teams can view the raw survey data.

D : Applying data anonymization techniques to remove or obscure sensitive data.

Answer: D

Question 2

What does a diffusion model do?

Options :

A : Analyzes data and predicts future trends and patterns.

B : Optimizes business processes and resource allocation.

C : Facilitates the storage and management of structured data.

D : Generates high-quality content by refining noise into structured data.

Answer: D

Question 3

A company is defining their generative AI strategy. They want to follow Google-recommended practices to increase their chances of success. Which strategy should they use?

Options :

A : Rapid implementation strategy

B : Bottom-up strategy

C : Multi-directional strategy

D : Top-down strategy

Answer: D

Question 4

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?

Options :

A : Use zero-shot prompting.

B : Use role prompting.

C : Use few-shot prompting.

D : Use prompt chaining.

Answer: D

Question 5

A company is exploring Google Agentspace to improve how its employees search for information on their enterprise systems and automate certain tasks. What is the key business advantage of using Agentspace?

Options :

A : Enhanced real-time communication and collaboration among team members.

B : Greater interoperability with legacy software systems and databases.

C : Improved productivity and data interaction using AI assistants and advanced document analysis.

D : More granular control over support team access and permissions for sensitive data.

Answer: C

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