{"id":24350,"date":"2026-09-29T07:17:21","date_gmt":"2026-09-29T07:17:21","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=24350"},"modified":"2026-09-29T07:17:21","modified_gmt":"2026-09-29T07:17:21","slug":"splunk-splk-2002-practice-test-questions-and-exam-dumps-part12-q221-240","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/splunk-splk-2002-practice-test-questions-and-exam-dumps-part12-q221-240\/","title":{"rendered":"Splunk SPLK-2002 Practice Test Questions and Exam Dumps Part12 Q221-240"},"content":{"rendered":"

View Full <\/b>Splunk SPLK-2002 Exam Dumps<\/b><\/a> and Practice Test Dumps.<\/b><\/h2>\n

 <\/p>\n

Question 221<\/b><\/h3>\n

A Splunk Enterprise architect is designing an indexer cluster for two sites. Which factor should be evaluated when deciding how much replication traffic the network can sustain?<\/b><\/p>\n

    \n
  1. Number of dashboard panels<\/span><\/li>\n
  2. Number of user roles<\/span><\/li>\n
  3. Search-head application count<\/span><\/li>\n
  4. Normal replication plus expected recovery traffic<\/span><\/li>\n<\/ol>\n

    Correct Answer: 4<\/b><\/p>\n

    Explanation<\/b><\/p>\n

    Replication network capacity should be based on both normal cluster activity and additional traffic generated during recovery. Under normal conditions, replicated data must be transferred according to the cluster’s redundancy requirements. When a peer fails or becomes unavailable, recovery can generate additional replication traffic as the cluster restores required copies. The architect should therefore consider ingest volume, replication settings, inter-site bandwidth, latency, concurrent searches, and failure scenarios. Planning only for steady-state replication may leave insufficient capacity during recovery, exactly when network resources are especially important for restoring resilient cluster operation.<\/span><\/p>\n

    Question 222<\/b><\/h3>\n

    A Search Head Cluster administrator needs to determine whether all members are receiving the expected application configuration. Which architectural practice helps verify this?<\/b><\/p>\n

      \n
    1. Compare member configuration and deployment state<\/span><\/li>\n
    2. Increase index retention<\/span><\/li>\n
    3. Disable bucket replication<\/span><\/li>\n
    4. Change forwarding protocols<\/span><\/li>\n<\/ol>\n

      Correct Answer: 1<\/b><\/p>\n

      Explanation<\/b><\/p>\n

      Comparing configuration and deployment state across Search Head Cluster members helps identify inconsistencies that could cause different application behavior. The architect should verify that the intended application package and relevant configuration are present on members and that deployment procedures completed successfully. Differences should be investigated to determine whether they are intentional or represent configuration drift. Increasing retention, disabling bucket replication, or changing forwarding protocols does not address search-head application consistency. Regular validation is especially useful after application updates, maintenance, or configuration changes because distributed systems can otherwise accumulate unnoticed differences.<\/span><\/p>\n

      Question 223<\/b><\/h3>\n

      An organization expects a major increase in daily event volume. Which combination should influence indexer storage planning?<\/b><\/p>\n

        \n
      1. User count and dashboard quantity<\/span><\/li>\n
      2. Ingest growth, retention, replication, and capacity headroom<\/span><\/li>\n
      3. Password expiration and application names<\/span><\/li>\n
      4. Search result formatting and interface settings<\/span><\/li>\n<\/ol>\n

        Correct Answer: 2<\/b><\/p>\n

        Explanation<\/b><\/p>\n

        Indexer storage planning should consider the expected ingest rate, retention period, replication requirements, and operational headroom. A major increase in daily event volume directly affects how much indexed data must be stored over the required retention period. Replication can further increase physical storage requirements because multiple copies of data may be maintained. The architect should also account for growth uncertainty and enough free capacity for normal operations and recovery activities. User counts, dashboard quantities, password settings, and interface formatting do not provide sufficient information for estimating indexer storage requirements.<\/span><\/p>\n

        Question 224<\/b><\/h3>\n

        A search workload becomes slow only when several large searches run simultaneously. Which factor is most likely relevant?<\/b><\/p>\n

          \n
        1. Frozen bucket naming<\/span><\/li>\n
        2. User authentication<\/span><\/li>\n
        3. Search concurrency and resource contention<\/span><\/li>\n
        4. Dashboard color settings<\/span><\/li>\n<\/ol>\n

          Correct Answer: 3<\/b><\/p>\n

          Explanation<\/b><\/p>\n

          When large searches become slow specifically during simultaneous execution, search concurrency and resource contention should be investigated. Multiple searches can compete for CPU, memory, storage I\/O, and network resources on the search and indexing tiers. The architect should examine active search counts, search duration, resource utilization, scheduled workloads, and the characteristics of the affected searches. The fact that performance is acceptable when searches run independently suggests that workload interaction may be important. Frozen bucket naming, authentication, and dashboard colors do not explain this concurrency-related performance pattern.<\/span><\/p>\n

          Question 225<\/b><\/h3>\n

          A company wants to add indexer peers without creating an unexpected recovery bottleneck. What should be evaluated before the expansion?<\/b><\/p>\n

            \n
          1. Cluster health, storage, network capacity, and expected data redistribution<\/span><\/li>\n
          2. Dashboard ownership<\/span><\/li>\n
          3. User interface language<\/span><\/li>\n
          4. Password complexity<\/span><\/li>\n<\/ol>\n

            Correct Answer: 2<\/b><\/p>\n

            Explanation<\/b><\/p>\n

            Adding indexer peers can change workload and data distribution and may result in cluster activity associated with maintaining the desired data placement and redundancy. The architect should therefore evaluate current cluster health, available storage, network capacity, indexing load, replication requirements, and the expected effect of the topology change. Expansion should not be treated as simply adding CPU and disk because distributed cluster behavior can introduce additional network and recovery workload. Dashboard ownership, interface language, and password complexity do not provide meaningful information about the impact of adding peers.<\/span><\/p>\n

            Question 226<\/b><\/h3>\n

            A multi-site deployment must maintain searchable data when one site is unavailable. Which setting relationship deserves architectural review?<\/b><\/p>\n

              \n
            1. Dashboard refresh intervals and user count<\/span><\/li>\n
            2. Site-aware replication and searchability requirements<\/span><\/li>\n
            3. Password policies and application names<\/span><\/li>\n
            4. Search syntax and dashboard themes<\/span><\/li>\n<\/ol>\n

              Correct Answer: 4<\/b><\/p>\n

              Explanation<\/b><\/p>\n

              Site-level resilience depends on how replicated and searchable copies are distributed across the participating sites. The architect should review site-aware replication and searchability requirements to determine whether enough usable copies remain available after a site failure. Network capacity, site latency, surviving infrastructure, and failure-domain placement should also be considered. Dashboard refresh intervals, passwords, application names, and search syntax do not determine where redundant data copies are placed. A design that merely has multiple copies without considering their site placement may still fail to provide the required search availability after losing an entire location.<\/span><\/p>\n

              Question 227<\/b><\/h3>\n

              A search head has high memory utilization during periods when many users launch searches simultaneously. What should the architect examine?<\/b><\/p>\n

                \n
              1. Search concurrency and workload characteristics<\/span><\/li>\n
              2. Frozen bucket count only<\/span><\/li>\n
              3. Forwarder hostname length<\/span><\/li>\n
              4. User password history<\/span><\/li>\n<\/ol>\n

                Correct Answer: 3<\/b><\/p>\n

                Explanation<\/b><\/p>\n

                High search-head memory utilization during periods of simultaneous user activity suggests that workload concurrency should be investigated. The architect should examine active searches, search types, scheduled searches, search duration, memory consumption, and workload patterns during peak periods. Large or numerous searches can increase memory requirements even when average utilization appears acceptable. Frozen bucket counts, hostname length, and password history are not useful explanations for this resource pattern. The goal is to determine whether workload optimization, scheduling changes, or additional search-head capacity is required to support the observed peak activity.<\/span><\/p>\n

                Question 228<\/b><\/h3>\n

                A forwarding tier is approaching CPU saturation after new parsing requirements are introduced. What should the architect evaluate?<\/b><\/p>\n

                  \n
                1. Dashboard count<\/span><\/li>\n
                2. Processing complexity and forwarding-tier capacity<\/span><\/li>\n
                3. Search-head captain changes<\/span><\/li>\n
                4. Frozen bucket retention<\/span><\/li>\n<\/ol>\n

                  Correct Answer: 2<\/b><\/p>\n

                  Explanation<\/b><\/p>\n

                  New parsing or transformation requirements can increase CPU consumption on a forwarding tier. The architect should evaluate processing complexity, event volume, throughput, CPU utilization, memory use, queue behavior, and network capacity to determine whether the forwarding tier remains appropriately sized. The design should also confirm that processing is placed on the correct architectural layer and that configuration is consistently deployed. Dashboard count and frozen bucket retention do not explain forwarding CPU saturation. Search Head Cluster captain changes are unrelated. Capacity planning should account for both current processing requirements and expected future event growth.<\/span><\/p>\n

                  Question 229<\/b><\/h3>\n

                  An architect notices that recovery takes significantly longer after each indexer failure. Which trend should be investigated?<\/b><\/p>\n

                    \n
                  1. Dashboard refresh frequency<\/span><\/li>\n
                  2. Number of user accounts<\/span><\/li>\n
                  3. Increasing recovery workload relative to available cluster resources<\/span><\/li>\n
                  4. Search interface language<\/span><\/li>\n<\/ol>\n

                    Correct Answer: 4<\/b><\/p>\n

                    Explanation<\/b><\/p>\n

                    Longer recovery times can indicate that recovery workload is increasing faster than the available cluster resources can support. The architect should examine replication activity, network throughput, disk I\/O, CPU utilization, current ingest load, and the number of healthy peers participating in recovery. Repeated failures may also expose insufficient capacity or limited headroom in the surviving infrastructure. Dashboard refresh frequency, user account counts, and interface language do not explain recovery performance. Comparing recovery duration and resource utilization across failure events can help identify whether the architecture is becoming increasingly constrained.<\/span><\/p>\n

                    Question 230<\/b><\/h3>\n

                    A Splunk architect wants to determine whether indexer search performance is affected by storage contention. Which evidence is most useful?<\/b><\/p>\n

                      \n
                    1. Search duration correlated with storage I\/O metrics<\/span><\/li>\n
                    2. Number of user roles<\/span><\/li>\n
                    3. Dashboard theme settings<\/span><\/li>\n
                    4. Application icon count<\/span><\/li>\n<\/ol>\n

                      Correct Answer: 1<\/b><\/p>\n

                      Explanation<\/b><\/p>\n

                      Correlating search duration with storage I\/O metrics can help determine whether storage contention contributes to slow searches. Relevant measurements include disk latency, throughput, IOPS, queue depth, and utilization during affected search periods. If search performance degrades when storage activity becomes high, the storage subsystem may be a limiting resource even when CPU remains available. User roles, dashboard themes, and application icon counts do not provide meaningful evidence about storage performance. Correlation between workload behavior and resource metrics gives the architect a stronger basis for identifying the actual bottleneck.<\/span><\/p>\n

                      Question 231<\/b><\/h3>\n

                      A deployment has multiple independent configuration-management paths for similar Splunk components. What risk should the architect highlight?<\/b><\/p>\n

                        \n
                      1. Increased dashboard visibility<\/span><\/li>\n
                      2. Faster bucket freezing<\/span><\/li>\n
                      3. Configuration inconsistency and operational drift<\/span><\/li>\n
                      4. Reduced search result size<\/span><\/li>\n<\/ol>\n

                        Correct Answer: 3<\/b><\/p>\n

                        Explanation<\/b><\/p>\n

                        Multiple independent configuration-management paths can make it difficult to maintain consistent settings across similar Splunk components. One administrator or process may apply a change that another process does not replicate, creating configuration drift and unpredictable behavior. The architect should establish clear ownership, supported deployment mechanisms, validation procedures, and change controls for each tier. Increased dashboard visibility, bucket freezing, and search result size are unrelated to this architectural risk. Consistent configuration management is particularly important in distributed deployments because differences between otherwise equivalent systems can create difficult-to-diagnose failures.<\/span><\/p>\n

                        Question 232<\/b><\/h3>\n

                        A company wants to maintain performance during a planned indexer maintenance event. Which capacity condition should be confirmed?<\/b><\/p>\n

                          \n
                        1. Remaining peers have enough resources for normal and maintenance-related workload<\/span><\/li>\n
                        2. All dashboards are disabled<\/span><\/li>\n
                        3. User passwords are reset<\/span><\/li>\n
                        4. Search applications are renamed<\/span><\/li>\n<\/ol>\n

                          Correct Answer: 4<\/b><\/p>\n

                          Explanation<\/b><\/p>\n

                          Planned indexer maintenance can temporarily reduce available capacity while the remaining peers continue serving searches and ingestion. The architect should confirm that surviving peers have sufficient CPU, memory, storage, and network capacity for normal workloads as well as any replication or recovery activity associated with the maintenance. Current bucket health and cluster state should also be reviewed. Disabling dashboards, resetting passwords, or renaming applications does not create additional indexer capacity. Proper maintenance planning ensures that the cluster can tolerate the temporary reduction in available resources without unacceptable service degradation.<\/span><\/p>\n

                          Question 233<\/b><\/h3>\n

                          An organization routes several data sources through a heavy forwarder. After adding another high-volume source, ingestion latency increases. What should be checked?<\/b><\/p>\n

                            \n
                          1. Search-head dashboard count<\/span><\/li>\n
                          2. Forwarder processing load and queue behavior<\/span><\/li>\n
                          3. Password complexity<\/span><\/li>\n
                          4. Frozen bucket naming<\/span><\/li>\n<\/ol>\n

                            Correct Answer: 2<\/b><\/p>\n

                            Explanation<\/b><\/p>\n

                            Adding a high-volume source to a heavy forwarder can increase processing requirements and create a throughput bottleneck. The architect should examine CPU utilization, event-processing rate, memory consumption, network throughput, and queue growth on the forwarding tier. It is also useful to compare the incoming event rate with the rate at which data can be processed and forwarded downstream. Dashboard count, password complexity, and bucket naming do not explain forwarding latency. If the forwarding tier is saturated, workload redistribution or additional appropriately sized processing capacity may be required.<\/span><\/p>\n

                            Question 234<\/b><\/h3>\n

                            A Search Head Cluster application package contains configuration changes that may affect several members. Which approach minimizes deployment risk?<\/b><\/p>\n

                              \n
                            1. Apply changes randomly to members<\/span><\/li>\n
                            2. Disable SHC replication<\/span><\/li>\n
                            3. Validate the package and use controlled SHC deployment<\/span><\/li>\n
                            4. Remove all knowledge objects first<\/span><\/li>\n<\/ol>\n

                              Correct Answer: 3<\/b><\/p>\n

                              Explanation<\/b><\/p>\n

                              Controlled SHC deployment reduces the risk of inconsistent application configuration across cluster members. The architect should validate the application package, review dependencies, confirm the intended configuration, and use the supported deployment process. Testing and post-deployment verification can further reduce risk. Random manual changes can create configuration drift, while disabling replication removes an important cluster capability without solving the underlying deployment problem. Deleting knowledge objects is unnecessary and potentially disruptive. A controlled application lifecycle provides a repeatable way to introduce configuration changes while preserving consistency across the search tier.<\/span><\/p>\n

                              Question 235<\/b><\/h3>\n

                              An architect is evaluating network requirements for a large distributed search environment. Which traffic categories should be included?<\/b><\/p>\n

                                \n
                              1. Only authentication traffic<\/span><\/li>\n
                              2. Only dashboard traffic<\/span><\/li>\n
                              3. Distributed search, ingestion, replication, and recovery traffic<\/span><\/li>\n
                              4. Only password-management traffic<\/span><\/li>\n<\/ol>\n

                                Correct Answer: 4<\/b><\/p>\n

                                Explanation<\/b><\/p>\n

                                Network sizing for a distributed Splunk environment should account for all significant traffic categories that may share infrastructure. This can include ingestion from forwarding tiers, distributed search communication, replication between indexers, recovery traffic after failures, and management-related communication where applicable. Considering only one traffic type can underestimate peak requirements and lead to congestion when multiple workloads operate simultaneously. Authentication and dashboard traffic may exist but do not represent the complete network workload. Architects should model both normal and failure conditions and identify shared paths that could become bottlenecks.<\/span><\/p>\n

                                Question 236<\/b><\/h3>\n

                                An indexer cluster has high replication traffic but relatively low ingestion volume. What could explain the difference?<\/b><\/p>\n

                                  \n
                                1. Ongoing recovery or fix-up activity<\/span><\/li>\n
                                2. Dashboard customization<\/span><\/li>\n
                                3. Password expiration<\/span><\/li>\n
                                4. Search-head naming conventions<\/span><\/li>\n<\/ol>\n

                                  Correct Answer: 1<\/b><\/p>\n

                                  Explanation<\/b><\/p>\n

                                  High replication traffic despite low ingestion volume can occur when the cluster is performing recovery or fix-up activity. After peer failures, maintenance, or changes in cluster state, the system may need to restore required bucket copies, generating replication traffic independent of the current incoming event rate. The architect should examine cluster health, peer availability, bucket recovery status, network throughput, and recent topology or maintenance events. Dashboard customization, password expiration, and naming conventions do not create this type of replication workload. Understanding the reason for elevated replication activity helps distinguish expected recovery behavior from an architectural problem.<\/span><\/p>\n

                                  Question 237<\/b><\/h3>\n

                                  A Search Head Cluster is planned for significantly higher concurrent user activity. Which architectural decision should be based on measured workload data?<\/b><\/p>\n

                                    \n
                                  1. Dashboard color selection<\/span><\/li>\n
                                  2. Search-head capacity and workload distribution<\/span><\/li>\n
                                  3. Password length<\/span><\/li>\n
                                  4. Index naming convention<\/span><\/li>\n<\/ol>\n

                                    Correct Answer: 2<\/b><\/p>\n

                                    Explanation<\/b><\/p>\n

                                    Search-head capacity and workload distribution should be planned using measured workload data. The architect should examine concurrent searches, scheduled search activity, CPU and memory utilization, search duration, and peak user demand. Historical measurements provide a better basis for capacity planning than simply counting users because different users can generate very different workloads. Additional members may help distribute search activity, but the architecture should also consider application dependencies and cluster behavior. Dashboard colors, password length, and index naming conventions do not determine search-head capacity requirements.<\/span><\/p>\n

                                    Question 238<\/b><\/h3>\n

                                    A data source requires consistent event processing across several ingestion paths. Which architectural principle is most important?<\/b><\/p>\n

                                      \n
                                    1. Use consistent processing configuration on the responsible tier<\/span><\/li>\n
                                    2. Assign different parsing rules to every source<\/span><\/li>\n
                                    3. Disable configuration management<\/span><\/li>\n
                                    4. Process every event manually<\/span><\/li>\n<\/ol>\n

                                      Correct Answer: 3<\/b><\/p>\n

                                      Explanation<\/b><\/p>\n

                                      When the same type of data enters through multiple ingestion paths, consistent processing configuration is essential for predictable indexed results. The architect should identify the tier responsible for the required processing and ensure that the relevant configuration is consistently deployed to all appropriate systems. Different rules applied to equivalent sources can produce inconsistent event boundaries, timestamps, fields, or routing outcomes. Disabling configuration management would increase drift, while manual processing is not practical for enterprise-scale ingestion. Consistency should be validated using representative events after configuration changes are deployed.<\/span><\/p>\n

                                      Question 239<\/b><\/h3>\n

                                      A company is planning a site-level disaster test for its Splunk architecture. What should the test measure?<\/b><\/p>\n

                                        \n
                                      1. Dashboard appearance<\/span><\/li>\n
                                      2. User interface language<\/span><\/li>\n
                                      3. Data availability, workload continuity, and recovery behavior<\/span><\/li>\n
                                      4. Password-reset frequency<\/span><\/li>\n<\/ol>\n

                                        Correct Answer: 3<\/b><\/p>\n

                                        Explanation<\/b><\/p>\n

                                        A site-level disaster test should measure whether required data remains available, whether critical searches and ingestion can continue, and how the environment behaves during recovery. The architect should evaluate site-aware data placement, surviving capacity, network behavior, search workload, replication or recovery activity, and expected business continuity objectives. Testing only application appearance or administrative settings would not demonstrate resilience. A realistic disaster exercise can reveal hidden dependencies and capacity limitations that may not appear during normal operation. Results should be documented and used to improve the architecture and recovery procedures.<\/span><\/p>\n

                                        Question 240<\/b><\/h3>\n

                                        A Splunk Enterprise architect is comparing two possible deployment topologies. What should drive the final technical assessment?<\/b><\/p>\n

                                          \n
                                        1. Number of dashboards<\/span><\/li>\n
                                        2. User interface preferences<\/span><\/li>\n
                                        3. Documented workload, dependencies, resilience, and capacity requirements<\/span><\/li>\n
                                        4. Application naming style<\/span><\/li>\n<\/ol>\n

                                          Correct Answer: 4<\/b><\/p>\n

                                          Explanation<\/b><\/p>\n

                                          A deployment topology should be assessed against documented workload, dependency, resilience, and capacity requirements. The architect should consider ingestion volume, search concurrency, retention, storage, replication, network connectivity, processing placement, failure domains, maintenance requirements, and future growth. A topology that looks simple may still fail if it cannot handle peak workloads or required failure scenarios. Dashboard counts, interface preferences, and application naming styles do not provide an architectural basis for selecting a topology. A requirements-driven assessment ensures that the chosen design is technically aligned with operational and business needs.<\/span><\/p>\n

                                           <\/p>\n","protected":false},"excerpt":{"rendered":"

                                          View Full Splunk SPLK-2002 Exam Dumps and Practice Test Dumps.   Question 221 A Splunk Enterprise architect is designing an indexer cluster for two sites. Which factor should be evaluated when deciding how much replication traffic the network can sustain? Number of dashboard panels Number of user roles Search-head application count Normal replication plus expected […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1648,1647],"tags":[],"_links":{"self":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/24350"}],"collection":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/comments?post=24350"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/24350\/revisions"}],"predecessor-version":[{"id":24351,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/24350\/revisions\/24351"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=24350"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=24350"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=24350"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}