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To be eligible for the SPLK-1004 exam, candidates must first pass the Splunk Core Certified User exam, which tests basic knowledge of Splunk search, indexers, and forwarders. The advanced power user exam builds on this foundation and covers topics such as building complex queries using search commands, creating advanced visualizations with Splunk dashboards, and using Splunk's alerting and reporting features. SPLK-1004 Exam is designed to challenge even the most experienced Splunk users, making it a valuable credential for those seeking to advance their careers in the field of data analysis and management.
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The SPLK-1004 exam is designed for candidates who have previously completed the Splunk Core Certified User certification and have hands-on experience with Splunk software. SPLK-1004 exam covers a wide range of topics, including advanced search techniques, field extraction, event correlation, data models, and advanced dashboarding. SPLK-1004 exam also assesses the candidate's ability to troubleshoot common Splunk issues, optimize Splunk performance, and secure Splunk installations. Passing the SPLK-1004 exam indicates that the candidate has a comprehensive understanding of Splunk software and can leverage its advanced features to drive business value.
The Splunk SPLK-1004 Exam consists of 70 multiple-choice and multiple-select questions, and the candidate has a total of 110 minutes to complete the exam. SPLK-1004 exam is available in English and Japanese and can be taken at any Pearson VUE testing center worldwide. SPLK-1004 exam fee is $125 USD per attempt, and the exam is valid for two years.
Splunk Core Certified Advanced Power User Sample Questions (Q59-Q64):
NEW QUESTION # 59
Which of the following is not a common default time field?
Answer: C
Explanation:
In Splunk, common default time fields include date_minute, date_year, and date_day, which represent the minute, year, and day parts of event timestamps, respectively. date_zone (Option A) is not recognized as a common default time field in Splunk. The platform typically uses fields like _time and various date_* fields for time-related information but does not use date_zone as a standard time field.
NEW QUESTION # 60
What capability does a power user need to create a Log Event alert action?
Answer: C
Explanation:
To create a Log Event alert action in Splunk, a power user needs the edit_alerts capability. This capability allows the user to configure and manage alert actions within Splunk.
NEW QUESTION # 61
Which of the following is true about a KV Store Collection when using it as a lookup?
Answer: B
Explanation:
Comprehensive and Detailed Step by Step Explanation:
When using a KV Store Collection as a lookup in Splunk,each collection must have at least 2 fields, andone of these fields must match values of a field in your event data. This matching field serves as the key for joining the lookup data with your search results.
Here's why this works:
* Minimum Fields Requirement: A KV Store Collection must have at least two fields: one to act as the key (matching a field in your event data) and another to provide additional information or context.
* Key Matching: The matching field ensures that the lookup can correlate data from the KV Store with your search results. Without this, the lookup would not function correctly.
Other options explained:
* Option A: Incorrect because a KV Store Collection does not require at least 3 fields; 2 fields are sufficient.
* Option C: Incorrect because at least one field in the collection must match a field in your event data for the lookup to work.
* Option D: Incorrect because a KV Store Collection does not require at least 3 fields, and at least one field must match event data.
Example: If your event data contains a fielduser_id, and your KV Store Collection has fieldsuser_idand user_name, you can use thelookupcommand to enrich your events withuser_namebased on the matching user_id.
References:
Splunk Documentation on KV Store Lookups:https://docs.splunk.com/Documentation/Splunk/latest
/Knowledge/ConfigureKVstorelookups
Splunk Documentation on Lookups:https://docs.splunk.com/Documentation/Splunk/latest/Knowledge
/Aboutlookupsandfieldactions
NEW QUESTION # 62
What is the correct hierarchy of XML elements in a dashboard panel?
Answer: C
Explanation:
In a Splunk dashboard, the correct hierarchy of XML elements for a dashboard panel is
<dashboard><row><panel> (Option B). A Splunk dashboard is defined within the <dashboard> element.
Within this, <row> elements are used to organize the layout into rows, and each <panel> element within a row defines an individual panel that can contain visualizations, searches, or other content. This hierarchical structure allows for organized and customizable layouts of dashboard elements, facilitating clear presentation of data and analyses. The other options provided do not represent the correct hierarchical order for defining dashboard panels in Splunk's XML dashboard syntax.
NEW QUESTION # 63
Which command calculates statistics on search results as each search result is returned?
Answer: B
Explanation:
Comprehensive and Detailed Step by Step Explanation:Thestreamstatscommand calculates statistics on search resultsas each event is processed, maintaining a running total or other cumulative calculations. Unlike eventstats, which calculates statistics for the entire dataset at once,streamstatsprocesses events sequentially.
Here's why this works:
* Purpose of streamstats: This command is ideal for calculating cumulative statistics, such as running totals, averages, or counts, as events are returned by the search.
* Sequential Processing:streamstatsapplies statistical functions (e.g.,count,sum,avg) incrementally to each event based on the order of the results.
| makeresults count=5
| streamstats count as running_count
This will produce:
_time running_count
------------------- -------------
<current_timestamp> 1
<current_timestamp> 2
<current_timestamp> 3
<current_timestamp> 4
<current_timestamp> 5
Other options explained:
* Option B: Incorrect becausefieldsummarygenerates summary statistics for all fields in the dataset, not cumulative statistics.
* Option C: Incorrect becauseeventstatscalculates statistics for the entire dataset at once, not incrementally.
* Option D: Incorrect becauseappendpipeis used to append additional transformations or calculations to existing results, not for cumulative statistics.
References:
* Splunk Documentation onstreamstats:https://docs.splunk.com/Documentation/Splunk/latest
/SearchReference/Streamstats
* Splunk Documentation on Statistical Commands:https://docs.splunk.com/Documentation/Splunk/latest
/SearchReference/StatisticalAggregatingCommands
NEW QUESTION # 64
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