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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Enterprise Certified Architect Certification Exam (SPLK-2002) |
| Exam Number: | SPLK-2002 |
| Real Exam Qty: | 50–60 (varies by exam version) |
| Available Languages: | English |
| Exam Format: | Multiple choice, Proctored exam (online or test center), Multiple response |
| Certificate Validity Period: | 3 years (typical Splunk certification validity) |
| Related Certifications: | Splunk Core Certified User Splunk Enterprise Certified Admin |
| Exam Duration: | 120 (typical; subject to proctoring rules) |
| Recommended Training: | Splunk Architect Certification Preparation Splunk Enterprise System Administration Course |
| Exam Registration: | Splunk Certification Portal Splunk Training & Exams |
| Sample Questions: | Splunk SPLK-2002 Sample Questions |
| Exam Way: | Proctored exam delivered online or at authorized test centers (Pearson VUE) |
| Pre Condition: | Recommended: Splunk Enterprise Certified Admin certification or equivalent hands-on experience with Splunk distributed environments |
| Official Syllabus URL: | https://www.splunk.com/en_us/training/certification.html |
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Splunk Enterprise is a powerful platform used for collecting, analyzing, and visualizing machine-generated data. As more organizations rely on this data to drive business decisions, the need for skilled Splunk professionals has increased. The SPLK-2002 Exam is designed to test the knowledge and skills of individuals seeking to become certified Splunk Enterprise Certified Architects.
NEW QUESTION # 28
When adding or rejoining a member to a search head cluster, the following error is displayed:
Error pulling configurations from the search head cluster captain; consider performing a destructive configuration resync on this search head cluster member.
What corrective action should be taken?
Answer: C
Explanation:
Explanation
When adding or rejoining a member to a search head cluster, and the following error is displayed: Error pulling configurations from the search head cluster captain; consider performing a destructive configuration resync on this search head cluster member.
The corrective action that should be taken is to run the splunk resync shcluster-replicated-config command on this member. This command will delete the existing configuration files on this member and replace them with the latest configuration files from the captain. This will ensure that the member has the same configuration as the rest of the cluster. Restarting the search head, running the splunk apply shcluster-bundle command from the deployer, or running the clean raft command on all members of the search head cluster are not the correct actions to take in this scenario. For more information, see Resolve configuration inconsistencies across cluster members in the Splunk documentation.
NEW QUESTION # 29
Which of the following statements describe search head clustering? (Select all that apply.)
Answer: A,B,C
Explanation:
Search head clustering is a Splunk feature that allows a group of search heads to share configurations, apps, and knowledge objects, and to provide high availability and scalability for searching. Search head clustering has the following characteristics:
* A deployer is required. A deployer is a Splunk instance that distributes the configurations and apps to the members of the search head cluster. The deployer is not a member of the cluster, but a separate instance that communicates with the cluster master.
* At least three search heads are needed. A search head cluster must have at least three search heads to form a quorum and to ensure high availability. If the cluster has less than three search heads, it cannot function properly and will enter a degraded mode.
* The deployer must have sufficient CPU and network resources to process service requests and push configurations. The deployer is responsible for handling the requests from the cluster master and the cluster members, and for pushing the configurations and apps to the cluster members. Therefore, the deployer must have enough CPU and network resources to perform these tasks efficiently and reliably.
Search heads do not need to meet the high-performance reference server requirements, as this is not a mandatory condition for search head clustering. The high-performance reference server requirements are only recommended for optimal performance and scalability of Splunk deployments, but they are not enforced by Splunk.
NEW QUESTION # 30
Which two sections can be expanded using the Search Job Inspector?
Answer: B,C
Explanation:
The Search Job Inspector can be used to expand the following sections: Search job properties and Optimization suggestions. The Search Job Inspector is a tool that provides detailed information about a search job, such as the search parameters, the search statistics, the search timeline, and the search log. The Search Job Inspector can be accessed by clicking the Job menu in the Search bar and selecting Inspect Job. The Search Job Inspector has several sections that can be expanded or collapsed by clicking the arrow icon next to the section name. The Search job properties section shows the basic information about the search job, such as the SID, the status, the duration, the disk usage, and the scan count. The Optimization suggestions section shows the suggestions for improving the search performance, such as using transforming commands, filtering events, or reducing fields. The Execution costs and Saved search history sections are not part of the Search Job Inspector, and they cannot be expanded. The Execution costs section is part of the Search Dashboard, which shows the relative costs of each search component, such as commands, lookups, or subsearches. The Saved search history section is part of the Saved Searches page, which shows the history of the saved searches that have been run by the user or by a schedule
NEW QUESTION # 31
Which of the following will cause the greatest reduction in disk size requirements for a cluster of N indexers running Splunk Enterprise Security?
Answer: C
Explanation:
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 # 32
Which Splunk tool offers a health check for administrators to evaluate the health of their Splunk deployment?
btool
Answer: B
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.1/DMC/DMCoverview
NEW QUESTION # 33
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