Salesforce AI Specialist Practice Exam

How can a company ensure that sensitive employee salary information is excluded from Einstein analytics?

1. Use Field-Level Security to hide the salary information from all users

2. Apply Einstein Data Exclusion to exclude salary information from being processed by Einstein

3. Encrypt the salary fields using Salesforce Shield Encryption

4. Remove the salary fields from the Salesforce schema

The correct answer is: Apply Einstein Data Exclusion to exclude salary information from being processed by Einstein

The correct approach for ensuring that sensitive employee salary information is excluded from Einstein analytics involves applying Einstein Data Exclusion. This feature allows organizations to designate specific fields within their Salesforce data that should not be processed or analyzed by Einstein. By using this functionality, companies can effectively prevent sensitive information, like employee salaries, from being included in analytics, ensuring compliance with data privacy regulations and maintaining employee confidentiality. Utilizing Einstein Data Exclusion is particularly significant because it specifically targets the analytics process, making it a straightforward solution for sensitive data management without modifying the underlying data infrastructure or access permissions. It maintains data integrity by allowing the existing schemas and records to remain intact while protecting sensitive information during analysis. Field-Level Security is an important tool for controlling user access to data, but it does not prevent sensitive information from being processed analytically if it is still included in the dataset being analyzed. Similarly, while encrypting salary fields adds a level of security, it does not specifically exclude that data from analytics processing. Finally, removing salary fields from the schema would be an extreme and potentially unnecessary approach when specific exclusion options are readily available.