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Splunk SPLK-2002 exam covers a range of topics related to Splunk Enterprise Certified Architect. It tests your knowledge of Splunk architecture, data inputs, data management, and data analysis. In addition, it covers topics such as search language, configuration files, and Splunk apps. SPLK-2002 Exam is designed to test your ability to use Splunk to solve complex problems and make data-driven decisions.
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Splunk SPLK-2002 Certification Exam is an excellent way for professionals to demonstrate their mastery of Splunk Enterprise architecture and design. Splunk Enterprise Certified Architect certification is highly regarded by employers and is a valuable asset for individuals who are looking to advance their careers in the field of Splunk. With the increasing demand for Splunk professionals, obtaining the Splunk SPLK-2002 certification is a great way to stand out in a competitive job market.
The SPLK-2002 Exam validates the candidate's knowledge in various areas such as data onboarding, data management, search processing language, Splunk architecture, and deployment. Candidates must demonstrate their ability to design and implement Splunk deployments that meet business requirements and ensure optimal performance.
NEW QUESTION # 138
Which command will permanently decommission a peer node operating in an indexer cluster?
Answer: D
Explanation:
Explanation
The splunk offline --enforce-counts command will permanently decommission a peer node operating in an indexer cluster. This command will remove the peer node from the cluster and delete its data. This command should be used when the peer node is no longer needed or is being replaced by another node. The splunk stop
-f command will stop the Splunk service on the peer node, but it will not decommission it from the cluster.
The splunk offline -f command will take the peer node offline, but it will not delete its data or enforce the replication and search factors. The splunk decommission --enforce-counts command is not a valid Splunk command. For more information, see Remove a peer node from an indexer cluster in the Splunk documentation.
NEW QUESTION # 139
What is the default log size for Splunk internal logs?
Answer: A
NEW QUESTION # 140
Which of the following is a valid use case that a search head cluster addresses?
Answer: D
Explanation:
The correct answer is C. Knowledge Object replication. This is a valid use case that a search head cluster addresses, as it ensures that all the search heads in the cluster have the same set of knowledge objects, such as saved searches, dashboards, reports, and alerts1. The search head cluster replicates the knowledge objects across the cluster members, and synchronizes any changes or updates1. This provides a consistent user experience and avoids data inconsistency or duplication1. The other options are not valid use cases that a search head cluster addresses. Option A, providing redundancy in the event a search peer fails, is not a use case for a search head cluster, but for an indexer cluster, which maintains multiple copies of the indexed data and can recover from indexer failures2. Option B, search affinity, is not a use case for a search head cluster, but for a multisite indexer cluster, which allows the search heads to preferentially search the data on the local site, rather than on a remote site3. Option D, increased Search Factor (SF), is not a use case for a search head cluster, but for an indexer cluster, which determines how many searchable copies of each bucket are maintained across the indexers4. Therefore, option C is the correct answer, and options A, B, and D are incorrect.
1: About search head clusters 2: About indexer clusters and index replication 3: Configure search affinity 4:
Configure the search factor
NEW QUESTION # 141
When converting from a single-site to a multi-site cluster, what happens to existing single-site clustered buckets?
Answer: D
NEW QUESTION # 142
Where in the Job Inspector can details be found to help determine where performance is affected?
Answer: B
Explanation:
This is where in the Job Inspector details can be found to help determine where performance is affected, as it shows the time and resources spent by each component of the search, such as commands, subsearches, lookups, and post-processing1. The Execution Costs > Components section can help identify the most expensive or inefficient parts of the search, and suggest ways to optimize or improve the search performance1.
The other options are not as useful as the Execution Costs > Components section for finding performance issues. Option A, Search Job Properties > runDuration, shows the total time, in seconds, that the search took to run2. This can indicate the overall performance of the search, but it does not provide any details on the specific components or factors that affected the performance. Option B, Search Job Properties > runtime, shows the time, in seconds, that the search took to run on the search head2. This can indicate the performance of the search head, but it does not account for the time spent on the indexers or the network. Option C, Job Details Dashboard > Total Events Matched, shows the number of events that matched the search criteria3. This can indicate the size and scope of the search, but it does not provide any information on the performance or efficiency of the search. Therefore, option D is the correct answer, and options A, B, and C are incorrect.
1: Execution Costs > Components 2: Search Job Properties 3: Job Details Dashboard
NEW QUESTION # 143
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