What method can be used to ingest data into Splunk via a network?

Ingesting data into Splunk via a network is primarily accomplished through network inputs. This method allows Splunk to listen for incoming data transmitted over the network, such as logs from remote servers or applications. Network inputs can be set up to receive data over various protocols, including UDP and TCP, which are essential for real-time data ingestion.

In contrast, file-based inputs involve monitoring files on disk, which does not directly relate to network data ingestion. API calls can facilitate data transfer, but they typically involve more complex interactions and are not classified under standard ingestion methods used for bulk data input directly from network sources. Data models, on the other hand, are used within Splunk to structure and analyze data, and they are not involved in the actual ingestion process. Therefore, network inputs are the appropriate method for ingesting data that is sent over a network, leveraging the capability to capture streams of logs and metrics effectively.