What type of data can be indexed by Splunk?

The correct response is based on the versatility and capability of Splunk to handle a diverse range of data types. Splunk is designed to index various formats of data, including unstructured, semi-structured, and structured data from multiple sources.

Unstructured data refers to information that does not have a predefined data model or format, such as emails, social media content, and documents. Semi-structured data includes formats that do have some organizational properties, like JSON or XML files. Structured data is highly organized and easily searchable in databases with fixed fields, like relational databases. This flexibility enables organizations to utilize Splunk for a wide variety of use cases, from log management to gaining insights from complex datasets.

The other options are narrow and limit the scope of what Splunk can index. A focus solely on structured data from databases does not capture the full capability of the platform. Restricting it to only textual data excludes numerous other formats that can provide valuable insights. Additionally, focusing exclusively on logs generated by applications ignores the broader spectrum of data sources that Splunk can ingest, including system metrics and data from IoT devices. Splunk's ability to index this wide array of data types is a crucial feature that maximizes its utility in data analysis and operational