A. Ensure the lead data is preprocessed for quality before loading into Salesforce (Option A): The best practice is to preprocess the data before loading it into Salesforce. This involves validating the data against the rules and standards that would be enforced by validation rules. This way, you catch and address issues before the data enters Salesforce.

Options B (Allow validation rules to be activated during the load of leads into Salesforce) might result in errors during the load if the data doesn’t meet the validation criteria, causing the load to fail.

Option C (Develop custom Apex batch process to improve quality once the load is completed) is a post-load solution and doesn’t prevent bad data from entering Salesforce during the initial load.

Option D (Activate validation rules once the leads are loaded into Salesforce) might lead to errors during the initial load and could compromise the data quality before validation rules are applied.

the key recommendation for ensuring data quality when loading a large volume of leads into Salesforce on a weekly basis with the validation rules disabled is to implement a data quality monitoring and cleansing process after the data has been loaded . The data architect should also consider other recommendations such as validating the data prior to loading, using data loaders with duplicate management features, and using a staging environment to clean and prepare the data before loading it into Salesforce.

Answer is A