Salesforce AI Specialist Practice Exam

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What is data masking within the Einstein Trust Layer designed to do?

Hiding all user data permanently

Detecting sensitive data and temporarily hiding it

Data masking within the Einstein Trust Layer is designed to detect sensitive data and temporarily hide it. This functionality is crucial in environments where sensitive information, such as personally identifiable information (PII) or financial data, must be protected while still allowing for analytical processes and interactions that do not compromise data privacy. By temporarily obscuring sensitive data, organizations can ensure that AI models can be trained and operated without exposing confidential information, which maintains compliance with privacy regulations and protects user trust.

The primary focus of the Einstein Trust Layer is to balance the need for data utility in AI applications with the imperative of safeguarding sensitive information. Therefore, detecting sensitive data and applying masking techniques is a strategic approach to manage risk while still leveraging the capabilities of AI effectively.

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Making data available to all users

Deleting customer data automatically

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