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Splunk SPLK-2002 (Splunk Enterprise Certified Architect) Certification Exam is a highly sought-after certification for IT professionals who specialize in data analysis and visualization. SPLK-2002 exam is designed to test the candidate's knowledge and skills in implementing and managing a Splunk Enterprise system. Splunk Enterprise Certified Architect certification is ideal for those who want to advance their career in data analytics and management.

The SPLK-2002 Certification is highly valued in the IT industry, and certified professionals are in high demand. Employers seek candidates who have demonstrated their expertise in Splunk Enterprise through certification. Certified professionals are often considered for higher-level positions and earn higher salaries than non-certified professionals.

Splunk Enterprise Certified Architect Sample Questions (Q179-Q184):

NEW QUESTION # 179
Which of the following will cause the greatest reduction in disk size requirements for a cluster of N indexers running Splunk Enterprise Security?

Answer: A

Explanation:
Decreasing the data model acceleration range will reduce the disk size requirements for a cluster of indexers running Splunk Enterprise Security. Data model acceleration creates tsidx files that consume disk space on the indexers. Reducing the acceleration range will limit the amount of data that is accelerated and thus save disk space. Setting the cluster search factor or replication factor to N-1 will not reduce the disk size requirements, but rather increase the risk of data loss. Increasing the number of buckets per index will also increase the disk size requirements, as each bucket has a minimum size. For more information, see Data model acceleration and Bucket size in the Splunk documentation.


NEW QUESTION # 180
(Which of the following is not facilitated by the deployer?)

Answer: B

Explanation:
Per the Search Head Clustering (SHC) Deployer Administration Guide, the deployer is responsible for distributing configuration bundles, apps, and baseline settings to all members of a Search Head Cluster (SHC). However, the replication of knowledge objects (Option A) is not handled by the deployer.
Knowledge object replication-covering items such as saved searches, dashboards, lookups, and alerts-is managed internally within the Search Head Cluster using the captain node. The captain coordinates replication among all SHC members using a mechanism called Knowledge Object Replication Framework, which ensures that user-created or runtime configuration changes (e.g., dashboards saved in Splunk Web) are automatically shared across members.
In contrast, the deployer's primary responsibilities include:
* Deploying and updating baseline app configurations (Option B).
* Distributing non-replicated, non-runtime configuration updates like props, transforms, and inputs (Option C).
* Assisting in the initial migration of apps and configurations into a cluster during setup (Option D).
Therefore, while the deployer handles static configuration management, knowledge object replication is performed dynamically by the SHC itself under captain control, making Option A the correct answer.
References (Splunk Enterprise Documentation):
* Search Head Clustering: How the Deployer Works
* Managing Knowledge Object Replication in Search Head Clusters
* Splunk Enterprise Admin Manual - Deployer vs. Captain Responsibilities
* Distributing Apps and Configurations with the Deployer


NEW QUESTION # 181
How does the average run time of all searches relate to the available CPU cores on the indexers?

Answer: B

Explanation:
Explanation
The average run time of all searches increases as the number of CPU cores on the indexers decreases. The CPU cores are the processing units that execute the instructions and calculations for the data. The number of CPU cores on the indexers affects the search performance, because the indexers are responsible for retrieving and filtering the data from the indexes. The more CPU cores the indexers have, the faster they can process the data and return the results. The less CPU cores the indexers have, the slower they can process the data and return the results. Therefore, the average run time of all searches is inversely proportional to the number of CPU cores on the indexers. The average run time of all searches is not independent of the number of CPU cores on the indexers, because the CPU cores are an important factor for the search performance. The average run time of all searches does not decrease as the number of CPU cores on the indexers decreases, because this would imply that the search performance improves with less CPU cores, which is not true. The average run time of all searches does not increase as the number of CPU cores on the indexers increases, because this would imply that the search performance worsens with more CPU cores, which is not true


NEW QUESTION # 182
At which default interval does metrics.log generate a periodic report regarding license utilization?

Answer: A

Explanation:
The default interval at which metrics.log generates a periodic report regarding license utilization is 60 seconds.
This report contains information about the license usage and quota for each Splunk instance, as well as the license pool and stack. The report is generated every 60 seconds by default, but this interval can be changed by modifying the license_usage stanza in the metrics.conf file. The other intervals (10 seconds, 30 seconds, and
300 seconds) are not the default values, but they can be set by the administrator if needed. For more information, see About metrics.log and Configure metrics.log in the Splunk documentation.


NEW QUESTION # 183
In a distributed environment, knowledge object bundles are replicated from the search head to which location
on the search peer(s)?

Answer: B

Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/DistSearch/Whatsearchheadssend


NEW QUESTION # 184
......

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