Explanation/Reference: https://docs.splunk.com/Documentation/SplunkCloud/8.0.2003/Search/Usethesearchcommand

After manually editing a regular expression (regex) that was created using the Field Extractor (FX) UI, it is no
longer possible to edit the field extraction in the FX UI. The FX UI is a tool that helps you extract fields from
your data using delimiters or regular expressions. The FX UI can generate a regex for you based on your
selection of sample values or you can enter your own regex in the FX UI. However, if you edit the regex
manually in the props.conf file, the FX UI will not be able to recognize the changes and will not let you edit
the field extraction in the FX UI anymore. You will have to use the props.conf file to make any further
changes to the field extraction. Changes made manually cannot be reverted in the FX UI, as the FX UI does
not keep track of the changes made in the props.conf file. It is possible to manually edit a regex that was
created using the FX UI, as long as you do it in the props.conf file.
Therefore, only statement B is true about manually editing a regex.

Field aliases are alternative names for fields in Splunk. Field aliases can be used to normalize data across different sources and sourcetypes that have different field names for the same concept. For example, you can create a field alias for src_ip that maps to clientip, source_address, or any other field name that represents the source IP address in different sourcetypes. Field aliases can also be used in lookup file definitions to map fields in your data to fields in the lookup file. For example, you can use a field alias for src_ip to map it to ip_address in a lookup file that contains geolocation information for IP addresses. Field alias names do not replace the original field name, but rather create a copy of the field with a different name. Field alias names are case sensitive when used as part of a search, meaning that src_ip and SRC_IP are different fields.

The correct answer isC. Product, count: addtocart, count: remove, count: purchase, sum: addtocart, sum:
remove, sum: purchase1.
In Splunk, thechartcommand is used to create a table or a chart visualization from your
data2.Thechartcommand takes at least one function and one field, and optionally another field to group by2.
In the given search, thechartcommand is used with two functions (countandsum), two fields (domainandprice),
and two fields to group by (productandaction).Theusenull=fanduseother=foptions are used to exclude null
values and other values from the chart2.
Thechartcommand creates a table with headers that match the order of the fields and functions in the
command1.The headers for thecountfunction are prefixed withcount:, and the headers for thesumfunction are
prefixed withsum:1.The values of theproductandactionfields are used as the suffixes for the headers1.
Therefore, the table headers created by this command areProduct,count: addtocart,count: remove,count:
purchase,sum: addtocart,sum: remove, andsum: purchase1.