SPLK-1004 Associate Level Exam, SPLK-1004 Valid Exam Sims

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Splunk Core Certified Advanced Power User Sample Questions (Q75-Q80):

NEW QUESTION # 75
Which of the following is true about themultikvcommand?

A. Themultikvcommand requires field names to be ALL CAPS whenmultitable=false.
B. Themultikvcommand displays an event for each row in a table-formatted event.
C. Themultikvcommand creates an event for each column in a table-formatted event.
D. Themultikvcommand derives field names from the last column in a table-formatted event.

Answer: B

Explanation:
Comprehensive and Detailed Step by Step Explanation:Themultikvcommand in Splunk is used to extract fields fromtable-like events(e.g., logs with rows and columns). It creates a separate event for each row in the table, making it easier to analyze structured data.
Here's why this works:
* Purpose of multikv: Themultikvcommand parses table-formatted events and treats each row as an individual event. This allows you to work with structured data as if it were regular Splunk events.
* Field Extraction: By default,multikvextracts field names from the header row of the table and assigns them to the corresponding values in each row.
* Row-Based Events: Each row in the table becomes a separate event, enabling you to search and filter based on the extracted fields.
Example: Suppose you have a log with the following structure:
Name Age Location
Alice 30 New York
Bob 25 Los Angeles
Using themultikvcommand:
| multikv
This will create two events:
Event 1: Name=Alice, Age=30, Location=New York
Event 2: Name=Bob, Age=25, Location=Los Angeles
Other options explained:
* Option A: Incorrect becausemultikvderives field names from the header row, not the last column.
* Option B: Incorrect becausemultikvcreates events for rows, not columns.
* Option C: Incorrect becausemultikvdoes not require field names to be in ALL CAPS, regardless of the multitablesetting.
References:
* Splunk Documentation onmultikv:https://docs.splunk.com/Documentation/Splunk/latest
/SearchReference/Multikv
* Splunk Documentation on Parsing Structured Data:https://docs.splunk.com/Documentation/Splunk
/latest/Data/Extractfieldsfromstructureddata

NEW QUESTION # 76
Which stats function is used to return a sorted list of unique field values?

A. count
B. list
C. sum
D. values

Answer: D

Explanation:
The values function in the stats command in Splunk is used to return a sorted list of unique field values (Option A). This function is particularly useful for summarizing data by listing all unique values of a specified field across the events returned by the search, which can provide insights into the diversity and distribution of the data associated with that field.

NEW QUESTION # 77
What arguments are required when using the spath command?

A. input, output path
B. No arguments are required.
C. field, host, source
D. input, output, index

Answer: B

Explanation:
Thespathcommand in Splunk is used to extract fields from structured data formats like JSON or XML.No arguments are requiredfor basic usage, asspathautomatically parses the_rawfield by default.
Here's why this works:
* Default Behavior: By default,spathextracts fields from the_rawfield of events without requiring any arguments. It intelligently parses JSON or XML data and creates new fields based on the structure.
* Optional Arguments: Whilespathdoes not require arguments, you can optionally specify:
* input: To specify a field other than_rawto parse.
* output: To rename the extracted fields.
* path: To extract specific subfields within the structured data.
Example:
| makeresults
| eval _raw="{"name":"Alice","age":30}"
| spath
References:
Splunk Documentation onspath:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference/spath Splunk Documentation on Parsing Structured Data:https://docs.splunk.com/Documentation/Splunk/latest/Data
/Extractfieldsfromstructureddata

NEW QUESTION # 78
Which command processes a template for a set of related fields?

A. bin
B. foreach
C. untable
D. xyseries

Answer: B

Explanation:
The foreach command applies a processing step to each field in a set of related fields. It allows repetitive operations to be applied to multiple fields in one go, streamlining tasks across several fields.
Theforeachcommand in Splunk is used to process a template for a set of related fields. It allows you to iterate over multiple fields that share a common naming pattern and apply a transformation or operation to each of them. This is particularly useful when you have a series of similarly named fields (e.g.,field1,field2,field3) and want to perform the same action on all of them without specifying each field individually.
For example, if you have fields likeprice1,price2, andprice3, and you want to convert their values to integers, you can use the following syntax:
References:
Splunk Documentation onforeach:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference
/foreach

NEW QUESTION # 79
How is a multivalue field created from product="a, b, c, d"?

A. ... | makemv delim="," product
B. ... | makemv delim(product)
C. ... | eval mvexpand(makemv(product, ","))
D. ... | mvexpand product

Answer: A

Explanation:
To create a multivalue field from a single string with comma-separated values, the makemv command is used with the delim parameter to specify the delimiter.
The correct syntax is:
| makemv delim="," product
This command splits the product field into multiple values wherever a comma is found, effectively creating a multivalue field.
References:
makemv - Splunk Documentation

NEW QUESTION # 80
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SPLK-1004 Associate Level Exam, SPLK-1004 Valid Exam Sims

Splunk Core Certified Advanced Power User updated training vce & SPLK-1004 free demo & Splunk Core Certified Advanced Power User valid torrent

Splunk Core Certified Advanced Power User Sample Questions (Q75-Q80):

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