What format does Splunk support for input data?

Splunk supports a variety of data input formats to accommodate different data sources, and the correct choice includes JSON, XML, CSV, and plain text.

This wide range of supported formats allows Splunk to ingest data from diverse sources, enabling users to analyze and visualize data irrespective of its original structure. For instance, JSON is commonly used in APIs and web applications, while CSV is a popular format for spreadsheet data. XML is often used for structured data representation, making it suitable for various applications. Plain text files are ubiquitous and can contain unstructured data, which Splunk can still process effectively.

The other choices are too limiting; they either restrict support to only a couple of data formats or specific file types, which would not meet the diverse needs of users who work with varied datasets. This comprehensive capability is essential for organizations that need to extract insights from different kinds of logs and records, making the ability to handle all of these formats a fundamental feature of Splunk.