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Once you have passed the Splunk SPLK-2002 Exam, you will be certified as a Splunk Enterprise Certified Architect. Splunk Enterprise Certified Architect certification will demonstrate to potential employers that you have the skills and knowledge necessary to manage and analyze data using Splunk. It will also give you access to a community of certified professionals who can provide support and guidance as you continue to work with Splunk.

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Splunk Enterprise Certified Architect Sample Questions (Q22-Q27):

NEW QUESTION # 22
When configuring a Splunk indexer cluster, what are the default values for replication and search factor?
replication_factor = 2

A. search factor = 3
B. search_factor = 2
replication_factor = 2
C. search factor = 3
replication_factor = 3
D. search_factor = 2
replication_factor = 3

Answer: D

NEW QUESTION # 23
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.)

A. The field was extracted as a private knowledge object.
B. The colleague did not explicitly use the field in the search and the search was set to Fast Mode.
C. The Typing Queue, which does regular expression replacements, is blocked.
D. The events are tagged as communicate, but are missing the network tag.

Answer: A,B

Explanation:
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 # 24
To activate replication for an index in an indexer cluster, what attribute must be configured in indexes.conf on all peer nodes?

A. repFactor = 0
B. replicate = auto
C. repFactor = auto
D. replicate = 0

Answer: C

Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.1/Indexer/Configurethepeerindexes

NEW QUESTION # 25
(A customer creates a saved search that runs on a specific interval. Which internal Splunk log should be viewed to determine if the search ran recently?)

A. btool.log
B. metrics.log
C. kvstore.log
D. scheduler.log

Answer: D

Explanation:
According to Splunk's Search Scheduler and Job Management documentation, the scheduler.log file, located within the _internal index, records the execution of scheduled and saved searches. This log provides a detailed record of when each search is triggered, how long it runs, and its success or failure status.
Each time a scheduled search runs (for example, alerts, reports, or summary index searches), an entry is written to scheduler.log with fields such as:
* sid (search job ID)
* app (application context)
* savedsearch_name (name of the saved search)
* user (owner)
* status (success, skipped, or failed)
* run_time and result_count
By searching the _internal index for sourcetype=scheduler (or directly viewing scheduler.log), administrators can confirm whether a specific saved search executed as expected and diagnose skipped or delayed runs due to resource contention or concurrency limits.
Other internal logs serve different purposes:
* metrics.log records performance metrics.
* kvstore.log tracks KV Store operations.
* btool.log does not exist - btool outputs configuration data to the console, not a log file.
Hence, scheduler.log is the definitive and Splunk-documented source for validating scheduled search activity.
References (Splunk Enterprise Documentation):
* Saved Searches and Alerts - Scheduler Operation Details
* scheduler.log Reference - Monitoring Scheduled Search Execution
* Monitoring Console: Search Scheduler Health Dashboard
* Troubleshooting Skipped or Delayed Scheduled Searches

NEW QUESTION # 26
Which search head cluster component is responsible for pushing knowledge bundles to search peers, replicating configuration changes to search head cluster members, and scheduling jobs across the search head cluster?

A. Captain
B. Master
C. Deployer
D. Deployment server

Answer: A

Explanation:
Explanation
The captain is the search head cluster component that is responsible for pushing knowledge bundles to search peers, replicating configuration changes to search head cluster members, and scheduling jobs across the search head cluster. The captain is elected from among the search head cluster members and performs these tasks in addition to serving search requests. The master is the indexer cluster component that is responsible for managing the replication and availability of data across the peer nodes. The deployer is the standalone instance that is responsible for distributing apps and other configurations to the search head cluster members. The deployment server is the instance that is responsible for distributing apps and other configurations to the deployment clients, such as forwarders

NEW QUESTION # 27
......

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New SPLK-2002 Exam Duration, SPLK-2002 Test Collection Pdf

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Splunk Enterprise Certified Architect Sample Questions (Q22-Q27):

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