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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Enterprise Certified Architect Certification Exam (SPLK-2002) |
| Exam Number: | SPLK-2002 |
| Exam Format: | Multiple response, Multiple choice, Proctored exam (online or test center) |
| Certificate Validity Period: | 3 years (typical Splunk certification validity) |
| Available Languages: | English |
| Related Certifications: | Splunk Core Certified User Splunk Enterprise Certified Admin |
| Exam Duration: | 120 (typical; subject to proctoring rules) |
| Real Exam Qty: | 50–60 (varies by exam version) |
| Recommended Training: | Splunk Enterprise System Administration Course Splunk Architect Certification Preparation |
| Exam Registration: | Splunk Training & Exams Splunk Certification Portal |
| 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 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.
NEW QUESTION # 190
Which of the following describe migration from single-site to multisite index replication?
Answer: B
Explanation:
Migration from single-site to multisite index replication only affects new data, not existing data. Multisite policies apply to new data only, meaning that data that is ingested after the migration will follow the multisite replication and search factors. Existing data, or data that was ingested before the migration, will retain the single-site policies, unless they are manually converted to multisite buckets. Single-site buckets do not instantly receive the multisite policies, nor do they automatically convert to multisite buckets. Multisite total values can exceed any single-site factors, as long as they do not exceed the number of peer nodes in the cluster. A master node is not required at each site, only one master node is needed for the entire cluster
NEW QUESTION # 191
What log file would you search to verify if you suspect there is a problem interpreting a regular expression in a
monitor stanza?
Answer: C
Explanation:
Explanation/Reference: https://answers.splunk.com/answers/479312/how-to-edit-inputsconf-to-monitor-multiple-files-w-
1.html
NEW QUESTION # 192
(What command will decommission a search peer from an indexer cluster?)
Answer: B
Explanation:
The splunk offline --enforce-counts command is the official and documented method used to gracefully decommission a search peer (indexer) from an indexer cluster in Splunk Enterprise. This command ensures that all replication and search factors are maintained before the peer is removed.
When executed, Splunk initiates a controlled shutdown process for the peer node. The Cluster Manager verifies that sufficient replicated copies of all bucket data exist across the remaining peers according to the configured replication_factor (RF) and search_factor (SF). The --enforce-counts flag specifically enforces that replication and search counts remain intact before the peer fully detaches from the cluster, ensuring no data loss or availability gap.
The sequence typically includes:
* Validating cluster state and replication health.
* Rolling off the peer's data responsibilities to other peers.
* Removing the peer from the active cluster membership list once replication is complete.
Other options like disablepeer, decommission, or remove cluster-peers are not valid Splunk commands.
Therefore, the correct documented method is to use:
splunk offline --enforce-counts
References (Splunk Enterprise Documentation):
* Indexer Clustering: Decommissioning a Peer Node
* Managing Peer Nodes and Maintaining Data Availability
* Splunk CLI Command Reference - splunk offline
* Cluster Manager and Peer Maintenance Procedures
NEW QUESTION # 193
Which component in the splunkd.log will log information related to bad event breaking?
Answer: A
Explanation:
The AggregatorMiningProcessor component in the splunkd.log file will log information related to bad event breaking. The AggregatorMiningProcessor is responsible for breaking the incoming data into events and applying the props.conf settings. If there is a problem with the event breaking, such as incorrect timestamps, missing events, or merged events, the AggregatorMiningProcessor will log the error or warning messages in the splunkd.log file. The Audittrail component logs information about the audit events, such as user actions, configuration changes, and search activity. The EventBreaking component logs information about the event breaking rules, such as the LINE_BREAKER and SHOULD_LINEMERGE settings. The IndexingPipeline component logs information about the indexing pipeline, such as the parsing, routing, and indexing phases.
For more information, see About Splunk Enterprise logging and [Configure event line breaking] in the Splunk documentation.
NEW QUESTION # 194
Which of the following options in limits, conf may provide performance benefits at the forwarding tier?
Answer: D
Explanation:
The correct answer is C. Increase the parallellngestionPipelines attribute. This is an option in limits.conf that may provide performance benefits at the forwarding tier, as it allows the forwarder to process multiple data inputs in parallel1. The parallellngestionPipelines attribute specifies the number of pipelines that the forwarder can use to ingest data from different sources1. By increasing this value, the forwarder can improve its throughput and reduce the latency of data delivery1. The other options are not effective options to provide performance benefits at the forwarding tier. Option A, enabling the indexed_realtime_use_by_default attribute, is not recommended, as it enables the forwarder to send data to the indexer as soon as it is received, which may increase the network and CPU load and degrade the performance2. Option B, increasing the maxKBps attribute, is not a good option, as it increases the maximum bandwidth, in kilobytes per second, that the forwarder can use to send data to the indexer3. This may improve the data transfer speed, but it may also saturate the network and cause congestion and packet loss3. Option D, increasing the max_searches_per_cpu attribute, is not relevant, as it only affects the search performance on the indexer or search head, not the forwarding performance on the forwarder4. Therefore, option C is the correct answer, and options A, B, and D are incorrect.
1: Configure parallel ingestion pipelines 2: Configure real-time forwarding 3: Configure forwarder output 4:
Configure search performance
NEW QUESTION # 195
......
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