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Splunk SPLK-2002 (Splunk Enterprise Certified Architect) Exam is a certification exam that is designed to validate an individual’s skills and knowledge in deploying, managing, and architecting complex Splunk Enterprise environments. SPLK-2002 exam is intended for experienced Splunk professionals who have an in-depth understanding of the Splunk platform and its various components. The SPLK-2002 Exam is the highest-level certification exam offered by Splunk and is a valuable credential that demonstrates an individual’s expertise in designing and implementing Splunk Enterprise solutions.
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Splunk SPLK-2002 Exam is a certification exam for IT professionals seeking to become a Splunk Enterprise Certified Architect. Splunk is a powerful data analytics platform that allows organizations to collect, analyze, and visualize data from a variety of sources. The Splunk Enterprise Certified Architect certification is designed for individuals who have a deep understanding of the Splunk platform and can design and implement complex Splunk deployments.
NEW QUESTION # 134
The KV store forms its own cluster within a SHC. What is the maximum number of SHC members KV store will form?
Answer: A
Explanation:
Explanation
The KV store forms its own cluster within a SHC. The maximum number of SHC members KV store will form is 50. The KV store cluster is a subset of the SHC members that are responsible for replicating and storing the KV store data. The KV store cluster can have up to 50 members, but only 20 of them can be active at any given time. The other members are standby members that can take over if an active member fails. The KV store cluster cannot have more than 50 members, nor can it have an unlimited number of members. The KV store cluster cannot have 25 or 100 members, because these numbers are not multiples of 5, which is the minimum replication factor for the KV store cluster
NEW QUESTION # 135
When Splunk indexes data in a non clustered environment, what kind of files does it create by default?
Answer: B
NEW QUESTION # 136
To reduce the captain's work load in a search head cluster, what setting will prevent scheduled searches from running on the captain?
Answer: A
Explanation:
Explanation
To reduce the captain's work load in a search head cluster, the setting that will prevent scheduled searches from running on the captain is captain_is_adhoc_searchhead = true (on the current captain). This setting will designate the current captain as an ad hoc search head, which means that it will not run any scheduled searches, but only ad hoc searches initiated by users. This will reduce the captain's work load and improve the search head cluster performance. The adhoc_searchhead = true (on all members) setting will designate all search head cluster members as ad hoc search heads, which means that none of them will run any scheduled searches, which is not desirable. The adhoc_searchhead = true (on the current captain) setting will have no effect, as this setting is ignored by the captain. The captain_is_adhoc_searchhead = true (on all members) setting will have no effect, as this setting is only applied to the current captain. For more information, see Configure the captain as an ad hoc search head in the Splunk documentation.
NEW QUESTION # 137
By default, what happens to configurations in the local folder of each Splunk app when it is deployed to a search head cluster?
Answer: D
Explanation:
A search head cluster is a group of Splunk Enterprise search heads that share configurations, job scheduling, and search artifacts1. The deployer is a Splunk Enterprise instance that distributes apps and other configurations to the cluster members1. The local folder of each Splunk app contains the custom configurations that override the default settings2. The default folder of each Splunk app contains the default configurations that are provided by the app2.
By default, when the deployer pushes an app to the search head cluster, it merges the local folder of the app into the default folder and deploys the merged folder to the search heads3. This means that the custom configurations in the local folder will take precedence over the default settings in the default folder. However, this also means that the local folder of the app on the search heads will be empty, unless the app is modified through the search head UI3.
Option B is the correct answer because it reflects the default behavior of the deployer when pushing apps to the search head cluster. Option A is incorrect because the local folder is not copied to the local folder on the search heads, but merged into the default folder. Option C is incorrect because all the .conf files in the local folder are deployed to the search heads, not only certain ones. Option D is incorrect because the local folder is not ignored, but merged into the default folder.
References:
1: Search head clustering architecture - Splunk Documentation 2: About configuration files - Splunk Documentation 3: Use the deployer to distribute apps and configuration updates - Splunk Documentation
NEW QUESTION # 138
A Splunk user successfully extracted an ip address into a field called src_ip. Their colleague cannot see that field in their search results with events known to have src_ip. Which of the following may explain the problem? (Select all that apply.)
Answer: B,D
Explanation:
The following may explain the problem of why a colleague cannot see the src_ip field in their search results:
The field was extracted as a private knowledge object, and the colleague did not explicitly use the field in the search and the search was set to Fast Mode. A knowledge object is a Splunk entity that applies some knowledge or intelligence to the data, such as a field extraction, a lookup, or a macro. A knowledge object can have different permissions, such as private, app, or global. A private knowledge object is only visible to the user who created it, and it cannot be shared with other users. A field extraction is a type of knowledge object that extracts fields from the raw data at index time or search time. If a field extraction is created as a private knowledge object, then only the user who created it can see the extracted field in their search results. A search mode is a setting that determines how Splunk processes and displays the search results, such as Fast, Smart, or Verbose. Fast mode is the fastest and most efficient search mode, but it also limits the number of fields and events that are displayed. Fast mode only shows the default fields, such as _time, host, source, sourcetype, and _raw, and any fields that are explicitly used in the search. If a field is not used in the search and it is not a default field, then it will not be shown in Fast mode. The events are tagged as communicate, but are missing the network tag, and the Typing Queue, which does regular expression replacements, is blocked, are not valid explanations for the problem. Tags are labels that can be applied to fields or field values to make them easier to search. Tags do not affect the visibility of fields, unless they are used as filters in the search. The Typing Queue is a component of the Splunk data pipeline that performs regular expression replacements on the data, such as replacing IP addresses with host names. The Typing Queue does not affect the field extraction process, unless it is configured to do so
NEW QUESTION # 139
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