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[General] New SPLK-1004 Test Registration & Study Guide SPLK-1004 Pdf

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【General】 New SPLK-1004 Test Registration & Study Guide SPLK-1004 Pdf

Posted at 9 hour before      View：5 | Replies：0        Print      Only Author   [Copy Link] 1#
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Splunk Core Certified Advanced Power User Sample Questions (Q107-Q112):NEW QUESTION # 107
How is a multivalue field created from product="a, b, c, d"?
  • A. ... | makemv delim="," product
  • B. ... | mvexpand product
  • C. ... | makemv delim(product)
  • D. ... | eval mvexpand(makemv(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 # 108
What is the value of base lispy in the Search Job Inspector for the search index=sales clientip=170.
192.178.10?
  • A. [ index::sales AND 469 10 702 390 ]
  • B. [ index::sales 192 AND 10 AND 178 AND 170 ]
  • C. [ AND 10 170 178 192 index::sales ]
  • D. [ 192 AND 10 AND 178 AND 170 index::sales ]
Answer: B
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 # 109
Which commands can run on both search heads and indexers?
  • A. Centralized streaming commands
  • B. Distributable streaming commands
  • C. Dataset processing commands
  • D. Transforming commands
Answer: B
Explanation:
Distributable streaming commands operate on each event independently and can be distributed across indexers for parallel execution, improving search efficiency and scalability.

NEW QUESTION # 110
When a user opens a dataset in Pivot that has not been accelerated, an ad hoc data model acceleration is created. How long does this accelerated data model last?
  • A. For 24 hours after Pivot was opened
  • B. For the duration of the user's Pivot session
  • C. For the time specified by a Splunk administrator in limits.conf
  • D. For 7 days after Pivot was opened
Answer: B
Explanation:
In Splunk, when a user accesses a dataset in Pivot that lacks persistent acceleration, Splunk automatically creates anad hoc data model acceleration. This temporary acceleration is designed to enhance performance during the user's current session.
According to Splunk Documentation:
"Ad hoc summaries are always created in a dispatch directory at the search head."
"These summaries are temporary and exist only for the duration of the user's Pivot session." This means that the accelerated data model persists only while the user is actively engaged in the Pivot session. Once the session ends, the ad hoc acceleration is discarded.
Reference:Accelerate data models - Splunk Documentation

NEW QUESTION # 111
Which of the following is accurate about cascading inputs?
  • A. The final input has no impact on previous inputs.
  • B. Only the final input of the sequence can supply a token to searches.
  • C. They can be reset by an event handler.
  • D. Inputs added to panels can not participate.
Answer: C
Explanation:
Cascading inputs in Splunk dashboards allow the selection in one input (like a dropdown, radio button, etc.) to determine the available options in the subsequent input, creating a dependent relationship between them. An event handler can be configured to reset subsequent inputs based on the selection made in a preceding input (Option A), ensuring that only relevant options are presented to the user as they make selections. This approach enhances the dashboard's usability by guiding the user through a logical flow of choices, where each selection refines the scope of the following options.

NEW QUESTION # 112
......
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