This page was exported from Free valid test braindumps [ http://free.validbraindumps.com ] Export date:Sat Apr 5 1:20:43 2025 / +0000 GMT ___________________________________________________ Title: Free Splunk SPLK-2002 Study Guides Exam Questions & Answer [Q18-Q42] --------------------------------------------------- Free Splunk SPLK-2002 Study Guides Exam Questions and Answer SPLK-2002 Exam Dumps, SPLK-2002 Practice Test Questions Splunk SPLK-2002 exam is designed for experienced professionals who are seeking to demonstrate their proficiency in designing and deploying Splunk Enterprise solutions. SPLK-2002 exam is intended for individuals who are responsible for managing, configuring, and optimizing Splunk deployments in large and complex environments. Splunk Enterprise Certified Architect certification validates the skills and knowledge required to design and architect Splunk solutions that meet the performance, scalability, and reliability requirements of enterprise customers. To pass the SPLK-2002 exam, candidates are required to demonstrate their ability to design and implement complex Splunk deployments, including data ingestion, search optimization, and distributed management. They must also possess a deep understanding of Splunk's architecture, including its data model, search language, and integration capabilities with other enterprise systems. Successful candidates will be able to analyze customer requirements, recommend Splunk solutions that meet their needs, and provide guidance on best practices for deployment, operation, and maintenance. Overall, the SPLK-2002 certification is a valuable credential for professionals who want to advance their careers in enterprise IT and data analytics.   QUESTION 18Splunk Enterprise platform instrumentation refers to data that the Splunk Enterprise deployment logs in the_introspection index. Which of the following logs are included in this index? (Select all that apply.)  audit.log  metrics.log  disk_objects.log  resource_usage.log ExplanationThe following logs are included in the _introspection index, which contains data that the Splunk Enterprise deployment logs for platform instrumentation:* disk_objects.log. This log contains information about the disk objects that Splunk creates and manages, such as buckets, indexes, and files. This log can help monitor the disk space usage and the bucket lifecycle.* resource_usage.log. This log contains information about the resource usage of Splunk processes, such as CPU, memory, disk, and network. This log can help monitor the Splunk performance and identify any resource bottlenecks. The following logs are not included in the _introspection index, but rather in the_internal index, which contains data that Splunk generates for internal logging:* audit.log. This log contains information about the audit events that Splunk records, such as user actions, configuration changes, and search activity. This log can help audit the Splunk operations and security.* metrics.log. This log contains information about the performance metrics that Splunk collects, such as data throughput, data latency, search concurrency, and search duration. This log can help measure the Splunk performance and efficiency. For more information, see About Splunk Enterprise logging and[About the _introspection index] in the Splunk documentation.QUESTION 19Which of the following use cases would be made possible by multi-site clustering? (select all that apply)  Use blockchain technology to audit search activity from geographically dispersed data centers.  Enable a forwarder to send data to multiple indexers.  Greatly reduce WAN traffic by preferentially searching assigned site (search affinity).  Seamlessly route searches to a redundant site in case of a site failure. According to the Splunk documentation1, multi-site clustering is an indexer cluster that spans multiple physical sites, such as data centers. Each site has its own set of peer nodes and search heads. Each site also obeys site-specific replication and search factor rules. The use cases that are made possible by multi-site clustering are:* Greatly reduce WAN traffic by preferentially searching assigned site (search affinity). This means that if you configure each site so that it has both a search head and a full set of searchable data, the search head on each site will limit its searches to local peer nodes. This eliminates any need, under normal conditions, for search heads to access data on other sites, greatly reducing network traffic between sites2.* Seamlessly route searches to a redundant site in case of a site failure. This means that by storing copies of your data at multiple locations, you maintain access to the data if a disaster strikes at one location.Multisite clusters provide site failover capability. If a site goes down, indexing and searching can continue on the remaining sites, without interruption or loss of data2.The other options are false because:* Use blockchain technology to audit search activity from geographically dispersed data centers. This is not a use case of multi-site clustering, as Splunk does not use blockchain technology to audit search activity. Splunk uses its own internal logs and metrics to monitor and audit search activity3.* Enable a forwarder to send data to multiple indexers. This is not a use case of multi-site clustering, as forwarders can send data to multiple indexers regardless of whether they are in a single-site or multi-site cluster. This is a basic feature of forwarders that allows load balancing and high availability of data ingestion4.QUESTION 20Which of the following statements describe licensing in a clustered Splunk deployment? (Select all that apply.)  Free licenses do not support clustering.  Replicated data does not count against licensing.  Each cluster member requires its own clustering license.  Cluster members must share the same license pool and license master. Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Admin/DistdeploylicensesQUESTION 21What is the default log size for Splunk internal logs?  10MB  20 MB  25MB  30MB Splunk internal logs are stored in the SPLUNK_HOME/var/log/splunk directory by default. The default log size for Splunk internal logs is 25 MB, which means that when a log file reaches 25 MB, Splunk rolls it to a backup file and creates a new log file. The default number of backup files is 5, which means that Splunk keeps up to 5 backup files for each log fileQUESTION 22Search dashboards in the Monitoring Console indicate that the distributed deployment is approaching its capacity. Which of the following options will provide the most search performance improvement?  Replace the indexer storage to solid state drives (SSD).  Add more search heads and redistribute users based on the search type.  Look for slow searches and reschedule them to run during an off-peak time.  Add more search peers and make sure forwarders distribute data evenly across all indexers. ExplanationAdding more search peers and making sure forwarders distribute data evenly across all indexers will provide the most search performance improvement when the distributed deployment is approaching its capacity.Adding more search peers will increase the search concurrency and reduce the load on each indexer.Distributing data evenly across all indexers will ensure that the search workload is balanced and no indexer becomes a bottleneck. Replacing the indexer storage to SSD will improve the search performance, but it is a costly and time-consuming option. Adding more search heads will not improve the search performance if the indexers are the bottleneck. Rescheduling slow searches to run during an off-peak time will reduce the search contention, but it will not improve the search performance for each individual search. For more information, see [Scale your indexer cluster] and [Distribute data across your indexers] in the Splunk documentation.QUESTION 23Which server.confattribute should be added to the master node’s server.conffile when decommissioning a site in an indexer cluster?  site_mappings  available_sites  site_search_factor  site_replication_factor Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Indexer/DecommissionasiteQUESTION 24A multi-site indexer cluster can be configured using which of the following? (Select all that apply.)  Via Splunk Web.  Directly edit SPLUNK_HOME/etc/system/local/server.conf  Run a splunk edit cluster-config command from the CLI.  Directly edit SPLUNK_HOME/etc/system/default/server.conf QUESTION 25Which of the following server. conf stanzas indicates the Indexer Discovery feature has not been fully configured (restart pending) on the Master Node?         The Indexer Discovery feature enables forwarders to dynamically connect to the available peer nodes in an indexer cluster. To use this feature, the manager node must be configured with the [indexer_discovery] stanza and a pass4SymmKey value. The forwarders must also be configured with the same pass4SymmKey value and the master_uri of the manager node. The pass4SymmKey value must be encrypted using the splunk _encrypt command. Therefore, option A indicates that the Indexer Discovery feature has not been fully configured on the manager node, because the pass4SymmKey value is not encrypted. The other options are not related to the Indexer Discovery feature. Option B shows the configuration of a forwarder that is part of an indexer cluster.Option C shows the configuration of a manager node that is part of an indexer cluster. Option D shows an invalid configuration of the [indexer_discovery] stanza, because the pass4SymmKey value is not encrypted and does not match the forwarders’ pass4SymmKey value121: https://docs.splunk.com/Documentation/Splunk/9.1.2/Indexer/indexerdiscovery 2:https://docs.splunk.com/Documentation/Splunk/9.1.2/Security/Secureyourconfigurationfiles#Encrypt_the_pass4SQUESTION 26In an indexer cluster, what tasks does the cluster manager perform? (select all that apply)  Generates and maintains the list of primary searchable buckets.  If Indexer Discovery is enabled, provides the list of available peer nodes to forwarders.  Ensures all peer nodes are always using the same version of Splunk.  Distributes app bundles to peer nodes. The correct tasks that the cluster manager performs in an indexer cluster are A. Generates and maintains the list of primary searchable buckets, B. If Indexer Discovery is enabled, provides the list of available peer nodes to forwarders, and D. Distributes app bundles to peer nodes. According to the Splunk documentation1, the cluster manager is responsible for these tasks, as well as managing the replication and search factors, coordinating the replication and search activities, and providing a web interface for monitoring and managing the cluster. Option C, ensuring all peer nodes are always using the same version of Splunk, is not a task of the cluster manager, but a requirement for the cluster to function properly2. Therefore, option C is incorrect, and options A, B, and D are correct.1: About the cluster manager 2: Requirements and compatibility for indexer clustersQUESTION 27Where in the Job Inspector can details be found to help determine where performance is affected?  Search Job Properties > runDuration  Search Job Properties > runtime  Job Details Dashboard > Total Events Matched  Execution Costs > Components 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 DashboardQUESTION 28Which index-time props.conf attributes impact indexing performance? (Select all that apply.)  REPORT  LINE_BREAKER  ANNOTATE_PUNCT  SHOULD_LINEMERGE ExplanationThe index-time props.conf attributes that impact indexing performance are LINE_BREAKER and SHOULD_LINEMERGE. These attributes determine how Splunk breaks the incoming data into events and whether it merges multiple events into one. These operations can affect the indexing speed and the disk space consumption. The REPORT attribute does not impact indexing performance, as it is used to apply transforms at search time. The ANNOTATE_PUNCT attribute does not impact indexing performance, as it is used to add punctuation metadata to events at search time. For more information, see [About props.conf and transforms.conf] in the Splunk documentation.QUESTION 29In a distributed environment, knowledge object bundles are replicated from the search head to which location on the search peer(s)?  SPLUNK_HOME/var/lib/searchpeers  SPLUNK_HOME/var/log/searchpeers  SPLUNK_HOME/var/run/searchpeers  SPLUNK_HOME/var/spool/searchpeers ExplanationIn a distributed environment, knowledge object bundles are replicated from the search head to the SPLUNK_HOME/var/run/searchpeers directory on the search peer(s). A knowledge object bundle is a compressed file that contains the knowledge objects, such as fields, lookups, macros, and tags, that are required for a search. A search peer is a Splunk instance that provides data to a search head in a distributed search. A search head is a Splunk instance that coordinates and executes a search across multiple search peers.When a search head initiates a search, it creates a knowledge object bundle and replicates it to the search peers that are involved in the search. The search peers store the knowledge object bundle in the SPLUNK_HOME/var/run/searchpeers directory, which is a temporary directory that is cleared when the Splunk service restarts. The search peers use the knowledge object bundle to apply the knowledge objects to the data and return the results to the search head. The SPLUNK_HOME/var/lib/searchpeers, SPLUNK_HOME/var/log/searchpeers, and SPLUNK_HOME/var/spool/searchpeers directories are not the locations where the knowledge object bundles are replicated, because they do not exist in the Splunk file systemQUESTION 30A customer has installed a 500GB Enterprise license. They also purchased and installed a 300GB, no enforcement license on the same license master. How much data can the customer ingest before the search is locked out?  300GB. After this limit, the search is locked out.  500GB. After this limit, the search is locked out.  800GB. After this limit, the search is locked out.  Search is not locked out. Violations are still recorded. ExplanationSearch is not locked out when a customer has installed a 500GB Enterprise license and a 300GB, no enforcement license on the same license master. The no enforcement license allows the customer to exceed the license quota without locking search, but violations are still recorded. The customer can ingest up to 800GB of data per day without violating the license, but if they ingest more than that, they will incur a violation.However, the violation will not lock search, as the no enforcement license overrides the enforcement policy of the Enterprise license. For more information, see [No enforcement licenses] and [License violations] in the Splunk documentation.QUESTION 31Which of the following will cause the greatest reduction in disk size requirements for a cluster of N indexers running Splunk Enterprise Security?  Setting the cluster search factor to N-1.  Increasing the number of buckets per index.  Decreasing the data model acceleration range.  Setting the cluster replication factor to N-1. Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Indexer/SystemrequirementsQUESTION 32When adding or decommissioning a member from a Search Head Cluster (SHC), what is the proper order of operations?  1. Delete Splunk Enterprise, if it exists.2. Install and initialize the instance.3. Join the SHC.  1. Install and initialize the instance.2. Delete Splunk Enterprise, if it exists.3. Join the SHC.  1. Initialize cluster rebalance operation.2. Remove master node from cluster.3. Trigger replication.  1. Trigger replication.2. Remove master node from cluster.3. Initialize cluster rebalance operation. ExplanationQUESTION 33Which component in the splunkd.logwill log information related to bad event breaking?  Audittrail  EventBreaking  IndexingPipeline  AggregatorMiningProcessor Explanation/Reference: https://answers.splunk.com/answers/141721/error-in-splunkd-log-breaking-event-because-limit-of-256-has-been-exceeded.htmlQUESTION 34A customer plans to ingest 600 GB of data per day into Splunk. They will have six concurrent users, and they also want high data availability and high search performance. The customer is concerned about cost and wants to spend the minimum amount on the hardware for Splunk. How many indexers are recommended for this deployment?  Two indexers not in a cluster, assuming users run many long searches.  Three indexers not in a cluster, assuming a long data retention period.  Two indexers clustered, assuming high availability is the greatest priority.  Two indexers clustered, assuming a high volume of saved/scheduled searches. Explanationhttps://docs.splunk.com/Documentation/Splunk/8.1.0/DistSearch/DistsearchsystemrequirementsQUESTION 35When troubleshooting monitor inputs, which command checks the status of the tailed files?  splunk cmd btool inputs list | tail  splunk cmd btool check inputs layer  curl https://serverhost:8089/services/admin/inputstatus/TailingProcessor:FileStatus  curl https://serverhost:8089/services/admin/inputstatus/TailingProcessor:Tailstatus ExplanationThe curl https://serverhost:8089/services/admin/inputstatus/TailingProcessor:FileStatus command is used to check the status of the tailed files when troubleshooting monitor inputs. Monitor inputs are inputs that monitor files or directories for new data and send the data to Splunk for indexing. The TailingProcessor:FileStatus endpoint returns information about the files that are being monitored by the Tailing Processor, such as the file name, path, size, position, and status. The splunk cmd btool inputs list | tail command is used to list the inputs configurations from the inputs.conf file and pipe the output to the tail command. The splunk cmd btool check inputs layer command is used to check the inputs configurations for syntax errors and layering. The curlhttps://serverhost:8089/services/admin/inputstatus/TailingProcessor:Tailstatus command does not exist, and it is not a valid endpoint.QUESTION 36Which server.confattribute should be added to the master node’s server.conffile whendecommissioning a site in an indexer cluster?  site_mappings  available_sites  site_search_factor  site_replication_factor Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Indexer/DecommissionasiteQUESTION 37When 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?  Restart the search head.  Run the splunk apply shcluster-bundle command from the deployer.  Run the clean raft command on all members of the search head cluster.  Run the splunk resync shcluster-replicated-config command on this member. Explanationhttps://community.splunk.com/t5/Deployment-Architecture/How-to-resolve-error-quot-Error-pulling-configuratiQUESTION 38Which of the following statements describe licensing in a clustered Splunk deployment? (Select all that apply.)  Free licenses do not support clustering.  Replicated data does not count against licensing.  Each cluster member requires its own clustering license.  Cluster members must share the same license pool and license master. QUESTION 39When should multiple search pipelines be enabled?  Only if disk IOPS is at 800 or better.  Only if there are fewer than twelve concurrent users.  Only if running Splunk Enterprise version 6.6 or later.  Only if CPU and memory resources are significantly under-utilized. ExplanationMultiple search pipelines should be enabled only if CPU and memory resources are significantly under-utilized. Search pipelines are the processes that execute search commands and return results. Multiple search pipelines can improve the search performance by running concurrent searches in parallel. However, multiple search pipelines also consume more CPU and memory resources, which can affect the overall system performance. Therefore, multiple search pipelines should be enabled only if there are enough CPU and memory resources available, and if the system is not bottlenecked by disk I/O or network bandwidth. The number of concurrent users, the disk IOPS, and the Splunk Enterprise version are not relevant factors for enabling multiple search pipelinesQUESTION 40A three-node search head cluster is skipping a large number of searches across time. What should be done to increase scheduled search capacity on the search head cluster?  Create a job server on the cluster.  Add another search head to the cluster.  server.conf captain_is_adhoc_searchhead = true.  Change limits.conf value for max_searches_per_cpu to a higher value. Changing the limits.conf value for max_searches_per_cpu to a higher value is the best option to increase scheduled search capacity on the search head cluster when a large number of searches are skipped across time.This value determines how many concurrent scheduled searches can run on each CPU core of the search head.Increasing this value will allow more scheduled searches to run at the same time, which will reduce the number of skipped searches. Creating a job server on the cluster, running the server.conf captain_is_adhoc_searchhead = true command, or adding another search head to the cluster are not the best options to increase scheduled search capacity on the search head cluster. For more information, see [Configure limits.conf] in the Splunk documentation.QUESTION 41The KV store forms its own cluster within a SHC. What is the maximum number of SHC members KV store will form?  25  50  100  Unlimited QUESTION 42What does setting site=site0on all Search Head Cluster members do in a multi-site indexer cluster?  Disables search site affinity.  Sets all members to dynamic captaincy.  Enables multisite search artifact replication.  Enables automatic search site affinity discovery. Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/DistSearch/DeploymultisiteSHC Loading … Latest SPLK-2002 Actual Free Exam Questions Updated 160 Questions: https://www.validbraindumps.com/SPLK-2002-exam-prep.html --------------------------------------------------- Images: https://free.validbraindumps.com/wp-content/plugins/watu/loading.gif https://free.validbraindumps.com/wp-content/plugins/watu/loading.gif --------------------------------------------------- --------------------------------------------------- Post date: 2024-07-04 13:52:53 Post date GMT: 2024-07-04 13:52:53 Post modified date: 2024-07-04 13:52:53 Post modified date GMT: 2024-07-04 13:52:53