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You will get a lot of personal and professional benefits after passing the Splunk SPLK-2002 test. The Splunk SPLK-2002 exam is a valuable credential that will assist you to advance your career. The Splunk SPLK-2002 is a way to increase your knowledge and skills. You can also trust on Braindumpsqa and start Splunk Enterprise Certified Architect SPLK-2002 test preparation with Splunk SPLK-2002 practice test material.
| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Enterprise Certified Architect |
| Exam Number: | SPLK-2002 |
| Available Languages: | English |
| Related Certifications: | Splunk Enterprise Certified Architect |
| Exam Duration: | 60 minutes |
| Exam Price: | USD 130.00 |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 60 |
| Passing Score: | 700 / 1000 |
| Exam Format: | Multiple-choice |
| Sample Questions: | Splunk SPLK-2002 Sample Questions |
| Exam Way: | Online proctored or In-person at a testing center |
| Pre Condition: | Splunk Core Certified Power User and Splunk Enterprise Certified Admin (recommended) |
| Official Syllabus URL: | https://www.splunk.com/en_us/training/certification-track/splunk-enterprise-certified-architect.html |
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The SPLK-2002 Certification Exam covers a variety of topics related to Splunk Enterprise, including how to design and deploy Splunk environments, how to manage Splunk indexes and data, and how to troubleshoot common issues that may arise in Splunk Enterprise. SPLK-2002 exam also covers topics related to data ingestion, data parsing, and data enrichment, as well as how to work with Splunk apps and add-ons. Additionally, the exam covers topics related to security and compliance, including how to secure Splunk environments and how to ensure compliance with relevant regulations and standards.
NEW QUESTION # 67
Which of the following statements about integrating with third-party systems is true? (Select all that apply.)
Answer: B,C
Explanation:
The following statements about integrating with third-party systems are true: You can use Splunk alerts to provision actions on a third-party system, and you can forward data from Splunk forwarder to a third-party system without indexing it first. Splunk alerts are triggered events that can execute custom actions, such as sending an email, running a script, or calling a webhook. Splunk alerts can be used to integrate with third-party systems, such as ticketing systems, notification services, or automation platforms. For example, you can use Splunk alerts to create a ticket in ServiceNow, send a message to Slack, or trigger a workflow in Ansible. Splunk forwarders are Splunk instances that collect and forward data to other Splunk instances, such as indexers or heavy forwarders. Splunk forwarders can also forward data to third-party systems, such as Hadoop, Kafka, or AWS Kinesis, without indexing it first. This can be useful for sending data to other data processing or storage systems, or for integrating with other analytics or monitoring tools. A Hadoop application cannot search data in Splunk, because Splunk does not provide a native interface for Hadoop applications to access Splunk data. Splunk can search data in the Hadoop File System (HDFS), but only by using the Hadoop Connect app, which is a Splunk app that enables Splunk to index and search data stored in HDFS
NEW QUESTION # 68
Indexing is slow and real-time search results are delayed in a Splunk environment with two indexers and one search head. There is ample CPU and memory available on the indexers. Which of the following is most likely to improve indexing performance?
Answer: C
Explanation:
Explanation
Increasing the number of parallel ingestion pipelines in server.conf is most likely to improve indexing performance when indexing is slow and real-time search results are delayed in a Splunk environment with two indexers and one search head. The parallel ingestion pipelines allow Splunk to process multiple data streams simultaneously, which increases the indexing throughput and reduces the indexing latency. Increasing the maximum number of hot buckets in indexes.conf will not improve indexing performance, but rather increase the disk space consumption and the bucket rolling time. Decreasing the maximum size of the search pipelines in limits.conf will not improve indexing performance, but rather reduce the search performance and the search concurrency. Decreasing the maximum concurrent scheduled searches in limits.conf will not improve indexing performance, but rather reduce the search capacity and the search availability. For more information, see Configure parallel ingestion pipelines in the Splunk documentation.
NEW QUESTION # 69
When using the props.conf LINE_BREAKER attribute to delimit multi-line events, the SHOULD_LINEMERGE attribute should be set to what?
Answer: D
Explanation:
When using the props.conf LINE_BREAKER attribute to delimit multi-line events, the SHOULD_LINEMERGE attribute should be set to false. This tells Splunk not to merge events that have been broken by the LINE_BREAKER. Setting the SHOULD_LINEMERGE attribute to true, auto, or none will cause Splunk to ignore the LINE_BREAKER and merge events based on other criteria. For more information, see Configure event line breaking in the Splunk documentation.
NEW QUESTION # 70
(Which of the following has no impact on search performance?)
Answer: C
Explanation:
According to Splunk Enterprise Search Performance and Deployment Optimization guidelines, the phone home interval (configured for deployment clients communicating with a Deployment Server) has no impact on search performance.
The phone home mechanism controls how often deployment clients check in with the Deployment Server for configuration updates or new app bundles. This process occurs independently of the search subsystem and does not consume indexer or search head resources that affect query speed, indexing throughput, or search concurrency.
In contrast:
* Increasing the number of indexers (Option B) improves search performance by distributing indexing and search workloads across more nodes.
* Workload Management (Option C) allows admins to prioritize compute and memory resources for critical searches, optimizing performance under load.
* Increasing search heads (Option D) can enhance concurrency and user responsiveness by distributing search scheduling and ad-hoc query workloads.
Therefore, adjusting the phone home interval is strictly an administrative operation and has no measurable effect on Splunk search or indexing performance.
References (Splunk Enterprise Documentation):
* Deployment Server: Managing Phone Home Intervals
* Search Performance Optimization and Resource Management
* Distributed Search Architecture and Scaling Best Practices
* Workload Management Overview - Resource Allocation in Search Operations
NEW QUESTION # 71
Which command will permanently decommission a peer node operating in an indexer cluster?
Answer: A
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Indexer/Takeapeeroffline
NEW QUESTION # 72
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