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Splunk Core Certified Power User Exam Sample Questions (Q19-Q24):

NEW QUESTION # 19
Which of the following statements describes the use of the Field Extractor (FX)?

A. Fields extracted using the Field Extractor do not persist and must be defined for each search.
B. The Field Extractor automatically extracts all fields at search time.
C. Fields extracted using the Field Extractor persist as knowledge objects.
D. The Field Extractor uses PERL to extract fields from the raw events.

Answer: C

Explanation:
The statement that fields extracted using the Field Extractor persist as knowledge objects is true. The Field
Extractor (FX) is a graphical tool that allows you to extract fields from raw events using regularexpressions or
delimiters. The fields extracted by the FX are saved as knowledge objects that can be used in future searches
or shared with other users.

NEW QUESTION # 20
How could the following syntax for the chart command be rewritten to remove the OTHER category? (select all that apply)

A. | chart count over CurrentStanding by Action limit=10 useother=f
B. | chart count over CurrentStanding by Action limit-10
C. | chart count over CurrentStanding by Action usenull-f useother-t
D. | chart count over CurrentStanding by Action useother=f

Answer: A,D

Explanation:
In Splunk, when using the chart command, the useother parameter can be set to false (f) to remove the 'OTHER' category, which is a bucket that Splunk uses to aggregate low-cardinality groups into a single group to simplify visualization. Here's how the options break down:
A . | chart count over CurrentStanding by Action useother=f
This command correctly sets the useother parameter to false, which would prevent the 'OTHER' category from being displayed in the resulting visualization.
B . | chart count over CurrentStanding by Action usenull=f useother=t
This command has useother set to true (t), which means the 'OTHER' category would still be included, so this is not a correct option.
C . | chart count over CurrentStanding by Action limit=10 useother=f
Similar to option A, this command also sets useother to false, additionally imposing a limit to the top 10 results, which is a way to control the granularity of the chart but also to remove the 'OTHER' category.
D . | chart count over CurrentStanding by Action limit-10
This command has a syntax error (limit-10 should be limit=10) and does not include the useother=f clause. Therefore, it would not remove the 'OTHER' category, making it incorrect.

NEW QUESTION # 21
When creating a Search workflow action, which field is required?

A. Data model name
B. Permission setting
C. Search string
D. An eval statement

Answer: C

Explanation:
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Setupasearchworkflowaction

NEW QUESTION # 22
Which of the following statements describes field aliases?

A. Field aliases can be used in lookup file definitions.
B. Field alias names replace the original field name.
C. Field alias names are not case sensitive when used as part of a search.
D. Field aliases only normalize data across sources and sourcetypes.

Answer: A

Explanation:
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.

NEW QUESTION # 23
Which of the following file formats can be extracted using a delimiter field extraction?

A. CSV
B. JSON
C. PDF
D. XML

Answer: A

Explanation:
A delimiter field extraction is a method of extracting fields from data that uses a character or a string to
separate fields in each event. A delimiter field extraction can be performed by using the Field Extractor (FX)
tool or by editing the props.conf file. A delimiter field extraction can be applied to any file format that uses a
delimiter to separate fields, such as CSV, TSV, PSV, etc. A CSV file is a comma-separated values file that
uses commas as delimiters. Therefore, a CSV file can be extracted using a delimiter field extraction.

NEW QUESTION # 24
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