To optimize the performance of your Data Management and Right to Be Forgotten policies, customize your policy settings.
Required Editions
| Available in: Developer, Enterprise, Performance, and Unlimited Editions with the Privacy Center license. |
To stay within system limits and process large datasets more efficiently, customize your privacy policy settings.
- Bypass Automations During Policy Execution
Allow a privacy policy to bypass automations, such as triggers and validation rules. If certain targeted records are subject to value restrictions or used to trigger flows, errors can occur during policy execution. Bypassing automations reduces these job errors and avoids further changes caused by record-triggered flows. - Ignore Errors During Policy Execution
Allow a privacy policy to ignore object processing errors. When errors are ignored, the job session proceeds to the next object on the policy instead of stopping completely. This option is useful if validations or business logic produce errors that you know are safe to ignore. - Manage Batch Sizes for Privacy Policy Jobs
Understand how batch sizes affect privacy policy job performance and when to adjust batch sizes to prevent system errors.