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Splunk Exam SPLK-1001 Topic 8 Question 96 Discussion

Actual exam question for Splunk's SPLK-1001 exam
Question #: 96
Topic #: 8
[All SPLK-1001 Questions]

By default, which of the following fields would be listed in the fields sidebar under interesting Fields?

Show Suggested Answer Hide Answer
Suggested Answer: C

The search query index=myindex source=c: mydata. txt NOT error=* specifies three criteria for the events to be returned:

The index must be myindex, which is a user-defined index that contains the data from a specific source or sources.

The source must be c: mydata. txt, which is the name of the file or directory where the data came from.

The error field must not exist in the events, which is indicated by the NOT operator and the wildcard character (*).

The NOT operator negates the following expression, which means that it returns the events that do not match the expression. The wildcard character () matches any value, including an empty value or a null value. Therefore, the expression NOT error=means that the events must not have an error field at all, regardless of its value.

The search query does not use quotation marks around the source value, which means that it is case-sensitive and exact. If there are any variations in the source name, such as capitalization or spacing, they will not match the query.

Reference

Search command syntax details

Search command examples

Basic searches and search results


Contribute your Thoughts:

Patrick
7 days ago
B) index seems like a good choice too. That's the name of the Splunk index where the data is stored.
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Anjelica
11 days ago
I think D) sourcetype is the correct answer. That's the field that identifies the type of data being indexed.
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Minna
17 days ago
That's a good point, sourcetype could also be listed under interesting Fields in the sidebar.
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Art
18 days ago
I disagree, I believe the answer is D) sourcetype because it is often used to identify the type of data source.
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Minna
25 days ago
I think the answer is A) host because it is a common field used for categorizing data.
upvoted 0 times
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