Filtering on Informatica Cloud system variables $LastRunDate or $LastRunTime is referred to as what type of processing?

Filtering on system variables like $LastRunDate or $LastRunTime is an example of Incremental Processing. This type of processing allows you to manage data more efficiently by only processing records that have changed since the last run, based on specified date or timestamp criteria.

In the context of data integration, when you use these system variables to filter data, you are essentially only pulling in records that are new or have been modified since the last execution of the integration task. This not only optimizes performance by reducing the volume of data processed but also aids in keeping data consistent and up-to-date.

In addition, incremental processing is particularly useful in scenarios where large datasets are involved, and running full data loads each time would be resource-intensive. By utilizing these variables, Informatica helps streamline data flows and improve execution efficiency in cloud data integration tasks.

The other options do not capture this specific functionality: pre-processing commands typically refer to instructions executed before the main task runs, date-based filtering might suggest filtering based purely on static date ranges rather than variable-driven conditions, and sequential processing generally denotes tasks executed in a defined order rather than based on last run time or date.