An administrator needs to ingest valid records of new batch data. Which AEP feature should be used?

The most fitting feature for ingesting valid records of new batch data is Partial Ingestion. This method allows the ingestion of only the records that have changed or new records since the last ingestion process. It is efficient because it minimizes the amount of data being processed and transmitted, making it ideal for scenarios where only specific updates are necessary rather than reprocessing entire datasets.

In the context of batch data ingestion, this approach helps in managing data volume effectively and speeds up the ingestion process, as you are not re-uploading all existing data but only the relevant segments that need updates.

While other ingestion methods exist, they cater to different scenarios; Incremental Ingestion refers to processing of data in smaller increments over time, Full Ingestion typically involves processing the entire dataset every time, and Continuous Ingestion focuses on real-time data streaming rather than batch processing. Each of these options is appropriate depending on the specific use case, but for new batch data, Partial Ingestion stands out as the most efficient choice.