handling-sf-data

You can automate Salesforce data operations by using sf CLI and anonymous Apex to handle CRUD, bulk imports via Bulk API 2.0, and test data generation with built-in validation and cleanup scripts.

The best way to generate test records is using CLI-first commands to create multiple records with varying fields, utilizing describe-first validation to inspect required fields and picklists before data creation.

Describe-first validation inspects required fields, picklists, and createable fields before data creation, ensuring your Salesforce CRUD operations via sf CLI succeed by preventing invalid record submissions.

Yes, you can use anonymous Apex for Salesforce data cleanup and rollback workflows, executing delete-by-pattern workflows and savepoint operations to manage and revert data changes accurately.

Yes, this approach supports Salesforce Bulk API 2.0 for large scale data imports and exports, enabling efficient processing of massive datasets while maintaining a 130-point validation scoring system.

Salesforce data creation scripts fail when required fields are missing, but applying describe-first validation to inspect createable fields and picklists before execution prevents these invalid data submissions.