Data Validation

A.

Data validation is a process of verifying the accuracy, completeness, and consistency of data. It is an essential part of data management, which helps in ensuring the quality and reliability of data. In the context of Salesforce, data validation refers to the validation rules that can be applied to the fields in a record to ensure the integrity of the data.

The correct answer to the given question is A. Data validation ensures the integrity of data before it's saved in SF. This statement accurately defines the process of data validation in Salesforce.

When a user enters data into a field in a record, Salesforce validates the data against the rules defined for that field. If the data entered doesn't meet the validation rules, an error message is displayed, and the user is prompted to correct the data.

Data validation rules can be applied to various types of fields in Salesforce, such as text fields, number fields, date fields, etc. These rules can be based on different criteria, such as the data format, range, length, uniqueness, etc.

By applying data validation rules, Salesforce ensures that the data entered into the system is accurate, complete, and consistent. This helps in maintaining the quality of data and avoiding errors and inconsistencies that can lead to incorrect analysis and decision-making.

In summary, data validation is a crucial process that helps in ensuring the quality and reliability of data. In Salesforce, data validation rules can be applied to fields in records to ensure the integrity of the data before it's saved in the system.