The following statements about tags are true: tags are based on field/value pairs and tags categorize events
based on a search. Tags are custom labels that can be applied to fields or field values to provide additional
context or meaning for your data. Tags can be used to filter or analyze your data based on common concepts or
themes. Tags can be created by using various methods, such as search commands, configuration files, user
interfaces, etc. Some of the characteristics of tags are:
Tags are based on field/value pairs: This means that tags are associated with a specific field name and a
specific field value. For example, you can create a tag called "alert" for the field name "status" and the
field value "critical". This means that only events that have status=critical will have the "alert" tag
applied to them.
Tags categorize events based on a search: This means that tags are defined by a search string that
matches the events that you want to tag. For example, you can create a tag called "web" for the search
string sourcetype=access_combined. This means that only events that match the search string
sourcetype=access_combined will have the "web" tag applied to them.
The following statements about tags are false: tags are case-insensitive and tags are designed to make data
more understandable. Tags are case-sensitive and tags are designed to make data more searchable. Tags are
case-sensitive: This means that tags must match the exact case of the field name and field value that they are
associated with. For example, if you create a tag called "alert" for the field name "status" and the field value
"critical", it will not apply to events that have status=CRITICAL or Status=critical. Tags are designed to make
data more searchable: This means that tags can help you find relevant events or patterns in your data by using
common concepts or themes. For example, if you create a tag called "web" for the search string
sourcetype=access_combined, you can use tag=web to find all events related to web activity.