What is a consideration for this requirement?

Universal Containers (UC) is implementing Einstein Generative AI to improve customer insights and

interactions. UC needs audit and feedback

data to be accessible for reporting purposes.

What is a consideration for this requirement?
A . Storing this data requires Data Cloud to be provisioned.
B . Storing this data requires a custom object for data to be configured.
C . Storing this data requires Salesforce big objects.

Answer: A

Explanation:

When implementing Einstein Generative AI for improved customer insights and interactions, the Data Cloud is a key consideration for storing and managing large-scale audit and feedback data. The Salesforce Data Cloud (formerly known as Customer 360 Audiences) is designed to handle and unify massive datasets from various sources, making it ideal for storing data required for AI-powered insights and reporting. By provisioning Data Cloud, organizations like Universal Containers (UC) can gain real-time access to customer data, making it a central repository for unified reporting across various systems.

Audit and feedback data generated by Einstein Generative AI needs to be stored in a scalable and accessible environment, and the Data Cloud provides this capability, ensuring that data can be easily accessed for reporting, analytics, and further model improvement.

Custom objects or Salesforce Big Objects are not designed for the scale or the specific type of real-

time, unified data processing required in such AI-driven interactions. Big Objects are more suited for

archival data, whereas Data Cloud ensures more robust processing, segmentation, and analysis

capabilities.

Reference: Salesforce Data Cloud Documentation: https://www.salesforce.com/products/data-cloud/overview/

Salesforce Einstein AI Overview: https://www.salesforce.com/products/einstein/overview/