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?

• A. Implementing strong access controls to limit which teams can view the raw survey data.
• B. Ensuring that the AI model is trained on a large and diverse dataset.
• C. Focusing on collecting only quantitative feedback data in future surveys.
• D. Applying data anonymization techniques to remove or obscure sensitive data.

A support team has a lot of important information in multiple internal locations across the organization. They are considering using Gemini Enterprise to implement custom agents tailored to specific roles and workflows. What is the main business problem that this solution addresses?

• A. Challenges in complying with evolving data privacy regulations and ensuring the security of sensitive information.
• B. Reduced employee productivity and increased operational costs due to time spent on manual data retrieval and task execution.
• C. Inability to scale IT infrastructure rapidly to accommodate fluctuating business demands.
• D. Difficulty in maintaining consistent branding and messaging across all customer-facing communications.

A project team is developing a generative AI application that needs to process and summarize lengthy documents. They are considering the limitations of the underlying language model. What is a key consideration regarding the token count for this application?

• A. Token count primarily affects the safety settings of the AI model by filtering out more potentially harmful content at higher counts.
• B. A lower token count will generally lead to more creative and varied outputs from the model.
• C. Increasing the token count will reduce the processing power required by the AI model.
• D. The model has a token limit; exceeding it may prevent processing of entire documents included in the prompt.

A company is using a generative AI model to personalize marketing content for its customers. Customer data used to train the model includes customer names and purchase histories. They want to balance the benefits of personalization with the need to protect customer privacy. What technique should they use when processing this data?

• A. Obtaining explicit consent from customers to use their data in AI models.
• B. Storing the customer data on secure, encrypted servers.
• C. Using pseudonymization to replace direct identifiers with artificial identifiers.
• D. Regularly auditing the AI model's outputs to ensure they are not discriminatory.