PERFECT SPLK-1004 VALID TEST TESTKING HELP YOU TO GET ACQUAINTED WITH REAL SPLK-1004 EXAM SIMULATION

Perfect SPLK-1004 Valid Test Testking Help You to Get Acquainted with Real SPLK-1004 Exam Simulation

Perfect SPLK-1004 Valid Test Testking Help You to Get Acquainted with Real SPLK-1004 Exam Simulation

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Splunk Core Certified Advanced Power User Sample Questions (Q58-Q63):

NEW QUESTION # 58
Repeating JSON data structures within one event will be extracted as what type of fields?

  • A. Single value
  • B. Lexicographical
  • C. Mvindex
  • D. Multivalue

Answer: D

Explanation:
When Splunk encounters repeating JSON data structures in an event, they are extracted as multivalue fields. These allow multiple values to be stored under a single field, which is common with arrays in JSON data.


NEW QUESTION # 59
Which commands can run on both search heads and indexers?

  • A. Transforming commands
  • B. Distributable streaming commands
  • C. Dataset processing commands
  • D. Centralized streaming commands

Answer: B

Explanation:
In Splunk's processing model, commands are categorized based on how and where they execute within the search pipeline. Understanding these categories is crucial for optimizing search performance.
Distributable Streaming Commands:
* Definition:These commands operate on each event individually and do not depend on the context of other events. Because of this independence, they can be executed on indexers, allowing the processing load to be distributed across multiple nodes.
* Execution:When a search is run, distributable streaming commands can process events as they are retrieved from the indexers, reducing the amount of data sent to the search head and improving efficiency.
* Examples:eval, rex, fields, rename
Other Command Types:
* Dataset Processing Commands:These commands work on entire datasets and often require all events to be available before processing can begin. They typically run on the search head.
* Centralized Streaming Commands:These commands also operate on each event but require a centralized view of the data, meaning they usually run on the search head after data has been gathered from the indexers.
* Transforming Commands:These commands, such as stats or chart, transform event data into statistical tables and generally run on the search head.
By leveraging distributable streaming commands, Splunk can efficiently process data closer to its source, optimizing resource utilization and search performance.


NEW QUESTION # 60
The fieldproductscontains a multivalued field containing the names of products. What is the result of the commandmvexpand products limit=<x>?

  • A. Separate events will be created for each product inproducts.
  • B. productswill be converted from a single value field to a multivalue field.
  • C. Compressed values inproductswill be uncompressed.
  • D. All multivalue fields will be converted to single value fields.

Answer: A

Explanation:
Comprehensive and Detailed Step by Step Explanation:Themvexpandcommand in Splunk is used to expand multivalue fields into separate events. When you usemvexpandon a field likeproducts, which contains multiple values, it creates a new event for each value in the multivalue field. For example, if the productsfield contains the values[productA, productB, productC], runningmvexpand productswill create three separate events, each containing one of the values (productA,productB, orproductC).
The optionallimit=<x>parameter specifies the maximum number of values to expand. Iflimit=2, only the first two values (productAandproductB) will be expanded into separate events, and any remaining values will be ignored.
Key points aboutmvexpand:
* It works only on multivalue fields.
* It does not modify the original field but creates new events based on its values.
* Thelimitparameter controls how many values are expanded.
Example:
| makeresults
| eval products="productA,productB,productC"
| makemv delim="," products
| mvexpand products
This will produce three separate events, one for each product.
References:
* Splunk Documentation onmvexpand:https://docs.splunk.com/Documentation/Splunk/latest
/SearchReference/mvexpand


NEW QUESTION # 61
Which of the following is accurate about cascading inputs?

  • A. Inputs added to panels cannot participate.
  • B. Only the final input of the sequence can supply a token to searches.
  • C. The final input has no impact on previous inputs.
  • D. They can be reset by an event handler.

Answer: D

Explanation:
Cascading inputs allow one input's selection to determine the options available in subsequent inputs. An event handler can reset the cascading sequence based on user interactions, ensuring the following inputs reflect appropriate options based on prior selections.


NEW QUESTION # 62
When would a distributable streaming command be executed on an indexer?

  • A. If all preceding search commands are executed on the indexer.
  • B. If all preceding search commands are executed on the indexer, and a streamstats command is used.
  • C. If some of the preceding search commands are executed on the indexer, and a timerchart command is used.
  • D. If any of the preceding search commands are executed on the search head.

Answer: A

Explanation:
A distributable streaming command would be executed on an indexer if all preceding search commands are executed on the indexer, enhancing search efficiency by processing data where it resides.


NEW QUESTION # 63
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