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Splunk SPLK-1004 (Splunk Core Certified Advanced Power User) Exam is designed to test the knowledge and skills of individuals who are experienced users of the Splunk platform. SPLK-1004 exam is intended for professionals who have already passed the Splunk Core Certified User Exam (SPLK-1001) and have a deep understanding of the features and functions of Splunk. The SPLK-1004 exam focuses on advanced search and reporting techniques, dashboard creation, and data management within the Splunk platform.

Passing the Splunk SPLK-1004 Exam demonstrates to potential employers and clients that the candidate has advanced skills and knowledge of the Splunk platform. Splunk Core Certified Advanced Power User certification is highly valued in the IT industry and can help individuals stand out in a crowded job market. Additionally, certified individuals are often able to command higher salaries and have more opportunities for career advancement.

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Splunk Core Certified Advanced Power User (SPLK-1004) certification exam is a valuable credential for experienced Splunk professionals who want to demonstrate their advanced knowledge and skills in working with complex deployments and large amounts of data. SPLK-1004 Exam covers a wide range of topics and can be taken online or at a Pearson VUE testing center. Splunk Core Certified Advanced Power User certification provides a competitive edge in the job market and can lead to higher salaries and more job opportunities.

Splunk Core Certified Advanced Power User Sample Questions (Q60-Q65):

NEW QUESTION # 60
If a search contains a subsearch, what is the order of execution?

A. The two searches are executed in parallel.
B. The otter search executes first.
C. The order of execution depends on whether either search uses a stats command.
D. The inner search executes first.

Answer: D

Explanation:
In a Splunk search containing a subsearch, the inner subsearch executes first (Option B). The result of the subsearch is then passed to the outer search. This is because the outer search often depends on the results of the inner subsearch to complete its execution. For example, a subsearch might be used to identify a list of relevant terms or values which are then used by the outer search to filter or manipulate the main dataset.

NEW QUESTION # 61
When should the fill_summary_index.py script be used?

A. To reset a summary index that includes overlapping data.
B. To backfill gaps in a summary index.
C. To populate a summary index from a saved report.
D. To create a summary index.

Answer: B

Explanation:
The fill_summary_index.py script is a utility provided by Splunk to backfill data into a summary index. It's particularly useful when there are gaps in the summary index due to missed scheduled searches or when initializing a summary index with historical data.
According to Splunk Documentation:
"You can use the fill_summary_index.py script, which backfills gaps in summary index collection by running the saved searches that populate the summary index as they would have been executed at their regularly scheduled times for a given time range." Reference:Manage summary index gaps - Splunk Documentation

NEW QUESTION # 62
What is the value of base lispy in the Search Job Inspector for the search index=sales clientip=170.
192.178.10?

A. [ 192 AND 10 AND 178 AND 170 index::sales ]
B. [ AND 10 170 178 192 index::sales ]
C. [ index::sales AND 469 10 702 390 ]
D. [ index::sales 192 AND 10 AND 178 AND 170 ]

Answer: D

Explanation:
In Splunk, the "base lispy" is an internal representation of the search query used by the Search Job Inspector.
It breaks down the search into its fundamental components for processing. For the search index=sales clientip=170.192.178.10, Splunk tokenizes the IP address into its individual octets and combines them with the index specification.
Therefore, the base lispy representation would be:
[ index::sales 192 AND 10 AND 178 AND 170 ]
This indicates that the search is constrained to the sales index and is looking for events containing all the specified IP address components.

NEW QUESTION # 63
What function can be used as an alternative to coalesce to return the first value from a list of fields that is not null?

A. mvzip
B. case
C. bin
D. exact

Answer: B

Explanation:
Comprehensive and Detailed Step by Step Explanation:
The case function can be used as an alternative to coalesce to return the first non-null value. While coalesce (field1, field2, field3) will return the first non-null value, case(condition1, value1, condition2, value2, ...) allows more flexibility by evaluating conditions.
Reference:Splunk Documentation - case Function

NEW QUESTION # 64
How is regex passed to the makemv command?

A. makemv must be preceded by the rex command.
B. It is specified by the delim argument.
C. It is specified by the tokenizer argument.
D. makemv must be preceded by the erex command.

Answer: B

Explanation:
The regex is passed to the makemv command in Splunk using the delim argument. This argument specifies the delimiter used to split a single string field into multiple values, effectively creating a multivalue field.

NEW QUESTION # 65
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