Which of the following is NOT considered a type of data that Splunk can ingest?

Splunk is designed to ingest a wide variety of data types, making it versatile in handling different sources of data relevant for indexing and searching. Among the options provided, the inclusion of only highly structured database records as a category of data that Splunk ingests is inaccurate. Splunk is particularly effective with semi-structured and unstructured data, such as log files, machine data, and even wireless network data. These types of data often do not conform to strict schemas and can be collected directly from diverse sources, thus allowing Splunk to offer powerful analytical capabilities.

The emphasis on highly structured database records suggests a limitation in the context of what Splunk can handle; however, Splunk extends its functionality to connect with structured data sources as well. This makes the assertion that Splunk only ingests highly structured records misleading. Instead, it is more accurate to say that Splunk excels at ingesting various less-structured and unstructured data types, which allows users to gain insights from a broader spectrum of information.