{"id":24342,"date":"2026-09-29T07:15:32","date_gmt":"2026-09-29T07:15:32","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=24342"},"modified":"2026-09-29T07:15:32","modified_gmt":"2026-09-29T07:15:32","slug":"splunk-splk-2002-practice-test-questions-and-exam-dumps-part8-q141-160","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/splunk-splk-2002-practice-test-questions-and-exam-dumps-part8-q141-160\/","title":{"rendered":"Splunk SPLK-2002 Practice Test Questions and Exam Dumps Part8 Q141-160"},"content":{"rendered":"

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

 <\/p>\n

Question 141<\/b><\/h3>\n

An architect is planning additional indexer peers for a growing deployment. Which factor should be included when estimating the required number of peers?<\/b><\/p>\n

    \n
  1. Dashboard theme<\/span><\/li>\n
  2. User interface language<\/span><\/li>\n
  3. Ingest, search, storage, and replication workload<\/span><\/li>\n
  4. Password expiration period<\/span><\/li>\n<\/ol>\n

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

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

    Indexer capacity planning should consider the complete workload placed on the indexing tier. Ingest volume determines how much data must be processed, while search workload affects CPU, memory, disk, and other resources. Storage requirements depend on retention and replication, and replication itself generates additional resource and network consumption. Looking only at raw ingest can therefore underestimate the number of peers required. Dashboard appearance, interface language, and password policies do not provide meaningful indexer sizing inputs. Architects should model current demand, projected growth, peak conditions, and recovery requirements before determining additional peer capacity.<\/span><\/p>\n

    Question 142<\/b><\/h3>\n

    A Search Head Cluster administrator needs to distribute an application update to all members. Which component is designed for this task?<\/b><\/p>\n

      \n
    1. SHC deployer<\/span><\/li>\n
    2. Indexer peer<\/span><\/li>\n
    3. License pool<\/span><\/li>\n
    4. Universal Forwarder<\/span><\/li>\n<\/ol>\n

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

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

      The SHC deployer is used to distribute supported applications and configuration packages to Search Head Cluster members. Centralizing this distribution helps maintain consistency and reduces configuration drift between search heads. The deployer should be used according to the supported SHC deployment process, including appropriate validation and maintenance considerations. An indexer peer stores and searches indexed data, a license pool manages licensing resources, and a Universal Forwarder primarily collects and forwards data. Architects should distinguish the deployer’s configuration-distribution role from runtime replication and cluster coordination performed among SHC members.<\/span><\/p>\n

      Question 143<\/b><\/h3>\n

      A Splunk architect wants to identify whether a network link could become a bottleneck during an indexer recovery event. What should be analyzed?<\/b><\/p>\n

        \n
      1. Dashboard refresh frequency<\/span><\/li>\n
      2. Password policy complexity<\/span><\/li>\n
      3. User role count<\/span><\/li>\n
      4. Normal and recovery-related network traffic<\/span><\/li>\n<\/ol>\n

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

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

        Indexer recovery can generate additional replication traffic as the cluster restores required bucket copies after a peer failure. A network link that appears adequate during normal operations may become saturated during recovery if it has limited bandwidth or already carries significant ingestion and search traffic. Architects should therefore model both steady-state and failure-recovery traffic. Bandwidth, latency, packet loss, redundancy, and shared network paths should all be considered. Dashboard refresh frequency, password complexity, and user-role count do not provide meaningful evidence about whether a network link can support recovery operations.<\/span><\/p>\n

        Question 144<\/b><\/h3>\n

        A Search Head Cluster has multiple members, but one member consistently handles an unusually high workload. What should the architect investigate?<\/b><\/p>\n

          \n
        1. Index retention settings<\/span><\/li>\n
        2. Workload distribution and member health<\/span><\/li>\n
        3. Bucket naming conventions<\/span><\/li>\n
        4. License pool labels<\/span><\/li>\n<\/ol>\n

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

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

          Uneven workload on Search Head Cluster members can indicate differences in member health, user routing, scheduled workloads, search behavior, or resource availability. The architect should investigate cluster status, CPU and memory utilization, active searches, scheduled searches, and how workloads are being distributed. A healthy SHC should be capable of sharing search activity across available members according to its operating behavior. Index retention, bucket naming, and license-pool labels do not normally explain why one search head is disproportionately busy. Identifying the cause is important before adding infrastructure or changing cluster configuration.<\/span><\/p>\n

          Question 145<\/b><\/h3>\n

          An architect is evaluating whether an indexer cluster has enough storage for a new retention requirement. Which calculation input is essential?<\/b><\/p>\n

            \n
          1. Expected indexed data volume over the retention period<\/span><\/li>\n
          2. Number of dashboard panels<\/span><\/li>\n
          3. Search-head captain elections<\/span><\/li>\n
          4. User password length<\/span><\/li>\n<\/ol>\n

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

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

            Storage planning must account for the amount of indexed data expected to accumulate during the required retention period. The architect should also include replication overhead, existing utilization, storage efficiency, growth projections, and appropriate operational headroom. Retention changes can significantly increase required capacity even when daily ingest remains unchanged. Dashboard panels, captain elections, and password length do not determine indexer storage requirements. A reliable sizing exercise should use realistic average and peak ingest figures and account for how many physical copies of the indexed data the cluster must maintain.<\/span><\/p>\n

            Question 146<\/b><\/h3>\n

            A deployment uses a centralized heavy forwarder tier. Which architectural characteristic can become a concern if the tier is not redundant?<\/b><\/p>\n

              \n
            1. Excessive dashboard count<\/span><\/li>\n
            2. Search result formatting<\/span><\/li>\n
            3. A single point of failure for ingestion<\/span><\/li>\n
            4. User password complexity<\/span><\/li>\n<\/ol>\n

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

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

              A centralized heavy forwarder tier can become a single point of failure if all important ingestion paths depend on one processing or routing component. If that component becomes unavailable, data delivery to downstream indexers may be interrupted even when the indexers themselves remain healthy. Architects should evaluate redundancy, load distribution, queueing, network connectivity, and failure recovery when designing centralized forwarding. Dashboard count and search formatting do not address this dependency, while password complexity is unrelated to ingestion availability. Critical forwarding infrastructure should be designed with appropriate resilience for the business requirements.<\/span><\/p>\n

              Question 147<\/b><\/h3>\n

              An architect observes that a search workload becomes slow only after an indexer peer is lost. What should be investigated?<\/b><\/p>\n

                \n
              1. Dashboard permissions<\/span><\/li>\n
              2. User password policies<\/span><\/li>\n
              3. Search result formatting<\/span><\/li>\n
              4. Remaining indexer capacity and recovery workload<\/span><\/li>\n<\/ol>\n

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

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

                A peer failure can change both data availability and workload distribution across the remaining indexers. The surviving peers may need to process additional searches while simultaneously performing recovery and replication activities. This combination can consume CPU, disk I\/O, storage, and network resources and may explain why searches become slower only after a failure. The architect should examine remaining peer capacity, recovery activity, search distribution, and current cluster health. Dashboard permissions, password policies, and result formatting do not explain a performance change triggered by indexer loss.<\/span><\/p>\n

                Question 148<\/b><\/h3>\n

                Which architectural practice helps reduce configuration drift across a distributed Splunk environment?<\/b><\/p>\n

                  \n
                1. Centralized and controlled configuration deployment<\/span><\/li>\n
                2. Manual changes on every server<\/span><\/li>\n
                3. Disabling configuration validation<\/span><\/li>\n
                4. Avoiding topology documentation<\/span><\/li>\n<\/ol>\n

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

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

                  Centralized and controlled configuration deployment helps keep distributed Splunk components aligned with the intended architecture. Appropriate deployment mechanisms allow administrators to distribute tested settings consistently rather than relying on manual changes across individual hosts. Validation and change tracking further reduce the risk of introducing inconsistent or unsupported configurations. Manual edits can create drift that is difficult to detect, while disabling validation increases deployment risk. Avoiding documentation also makes it harder to understand which components should receive particular settings. Consistent configuration management is therefore an important operational requirement for large Splunk deployments.<\/span><\/p>\n

                  Question 149<\/b><\/h3>\n

                  A multi-site indexer cluster is being designed for resilience against the loss of an entire data center. What should determine the placement of redundant bucket copies?<\/b><\/p>\n

                    \n
                  1. Dashboard ownership<\/span><\/li>\n
                  2. Site-aware replication requirements<\/span><\/li>\n
                  3. User login frequency<\/span><\/li>\n
                  4. Search result formatting<\/span><\/li>\n<\/ol>\n

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

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

                    When a complete data center represents a failure domain, redundant bucket copies should be placed according to site-aware replication requirements so that losing one site does not remove all required copies. The architect should consider replication factor, search factor, site distribution, available storage, inter-site connectivity, and recovery behavior. Merely having multiple copies is insufficient if they are concentrated within the same failure domain. Dashboard ownership, login frequency, and search formatting do not control physical data placement. The resilience objective should therefore be translated into explicit site-aware replication and searchability requirements.<\/span><\/p>\n

                    Question 150<\/b><\/h3>\n

                    An architect wants to determine whether a Search Head Cluster has adequate capacity for future user growth. Which workload should be modeled?<\/b><\/p>\n

                      \n
                    1. Concurrent searches and scheduled workloads<\/span><\/li>\n
                    2. Number of frozen buckets only<\/span><\/li>\n
                    3. Number of indexer hostnames<\/span><\/li>\n
                    4. Authentication password length<\/span><\/li>\n<\/ol>\n

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

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

                      Future search-head capacity should be modeled using expected concurrent searches, scheduled reports, alerts, dashboards, search complexity, and projected user activity. User growth matters because additional users can increase simultaneous search execution and resource consumption. Architects should model peak rather than only average concurrency and should consider the impact of scheduled workloads that may overlap with interactive searches. Frozen bucket counts, hostnames, and password length are not meaningful search-head sizing measures. Capacity planning should provide sufficient headroom so that expected growth does not immediately create resource contention.<\/span><\/p>\n

                      Question 151<\/b><\/h3>\n

                      An architect is troubleshooting inconsistent event processing across indexers. What should be checked first?<\/b><\/p>\n

                        \n
                      1. Dashboard permissions<\/span><\/li>\n
                      2. Search-head captain frequency<\/span><\/li>\n
                      3. Relevant processing configuration consistency<\/span><\/li>\n
                      4. User profile settings<\/span><\/li>\n<\/ol>\n

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

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

                        Inconsistent event processing across indexers can result from differences in applicable configuration between the systems handling the data. The architect should compare relevant props, transforms, parsing, routing, and other processing settings to determine whether the components are configured consistently. Configuration deployment mechanisms should then be reviewed to identify why differences occurred. Dashboard permissions, captain frequency, and user profiles do not normally control event parsing or transformation. Consistent processing configuration is especially important when multiple components perform similar functions because otherwise identical source data may produce different indexed results.<\/span><\/p>\n

                        Question 152<\/b><\/h3>\n

                        What is an important reason to maintain documentation of Splunk component dependencies?<\/b><\/p>\n

                          \n
                        1. It helps assess impact during failures and maintenance<\/span><\/li>\n
                        2. It automatically increases indexing throughput<\/span><\/li>\n
                        3. It removes the need for monitoring<\/span><\/li>\n
                        4. It prevents every configuration error<\/span><\/li>\n<\/ol>\n

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

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

                          Dependency documentation helps architects understand which services, components, network paths, and infrastructure resources rely on one another. During maintenance or a failure, this information makes it easier to identify potential impact and determine which systems should be checked first. It also supports capacity planning and future architecture changes. Documentation does not directly increase indexing throughput or eliminate the need for monitoring, and it cannot prevent every configuration error. However, accurate dependency information reduces troubleshooting time and helps teams make safer decisions when modifying a distributed Splunk deployment.<\/span><\/p>\n

                          Question 153<\/b><\/h3>\n

                          A forwarding tier sends data to several indexers, but one destination becomes unavailable. What should the architect verify?<\/b><\/p>\n

                            \n
                          1. Dashboard refresh intervals<\/span><\/li>\n
                          2. User role permissions<\/span><\/li>\n
                          3. Forwarding connection and load-balancing behavior<\/span><\/li>\n
                          4. Search-head application colors<\/span><\/li>\n<\/ol>\n

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

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

                            When an indexer destination becomes unavailable, the architect should verify how the forwarding tier handles failed connections and whether data is redirected to other available destinations according to its configured behavior. Load balancing, connection management, queueing, acknowledgment settings, and destination health can all influence ingestion continuity. The goal is to determine whether the forwarding architecture can continue delivering data without creating excessive backlog or loss. Dashboard refresh intervals, user permissions, and application colors do not control destination failover. Forwarding resilience should be tested under realistic indexer failure conditions rather than assumed from configuration alone.<\/span><\/p>\n

                            Question 154<\/b><\/h3>\n

                            A cluster has sufficient storage but insufficient network capacity for its planned replication traffic. What does this indicate?<\/b><\/p>\n

                              \n
                            1. Storage capacity alone is enough<\/span><\/li>\n
                            2. The architecture has an infrastructure bottleneck<\/span><\/li>\n
                            3. Search heads should be removed<\/span><\/li>\n
                            4. Replication should always be disabled<\/span><\/li>\n<\/ol>\n

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

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

                              A cluster requires adequate network capacity as well as sufficient storage. Replication depends on moving bucket data between peers, so limited network bandwidth can delay replication and recovery even when there is plenty of disk space. Network contention can also affect ingestion and distributed search traffic if the same links are shared. The architect should evaluate bandwidth, latency, traffic patterns, and redundancy rather than treating storage as the only capacity requirement. Removing search heads or permanently disabling replication would not solve the underlying infrastructure limitation and could introduce additional resilience problems.<\/span><\/p>\n

                              Question 155<\/b><\/h3>\n

                              Which factor should be considered when determining whether a search-head cluster can tolerate one member being unavailable?<\/b><\/p>\n

                                \n
                              1. Remaining member capacity<\/span><\/li>\n
                              2. Number of frozen buckets<\/span><\/li>\n
                              3. Forwarder hostname length<\/span><\/li>\n
                              4. Dashboard color settings<\/span><\/li>\n<\/ol>\n

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

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

                                The ability of a Search Head Cluster to tolerate a member outage depends not only on cluster membership but also on the capacity of the remaining members. The architect should determine whether surviving search heads have enough CPU, memory, and search-processing capacity to absorb additional workload while continuing normal operations. Active and scheduled searches should also be considered. Frozen bucket counts and dashboard presentation do not determine search-head resilience, while hostname length has no meaningful effect on capacity. High availability requires both component redundancy and sufficient resources to operate after a failure.<\/span><\/p>\n

                                Question 156<\/b><\/h3>\n

                                A production Splunk deployment requires predictable performance during peak periods. What should the architect use as a primary sizing reference?<\/b><\/p>\n

                                  \n
                                1. Average overnight workload<\/span><\/li>\n
                                2. Peak workload and concurrency<\/span><\/li>\n
                                3. Number of user passwords<\/span><\/li>\n
                                4. Dashboard title count<\/span><\/li>\n<\/ol>\n

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

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

                                  Peak workload and concurrency are more useful sizing references than quiet-period averages because infrastructure must remain responsive when demand is highest. Architects should model peak indexing rates, concurrent searches, scheduled workload overlap, network traffic, disk activity, and recovery operations where appropriate. Sizing solely from overnight or daily average usage can leave insufficient capacity during business hours or other high-demand periods. Password counts and dashboard title counts are not reliable infrastructure-sizing measures. Peak-based planning provides a more realistic basis for determining CPU, memory, storage, network, and component capacity.<\/span><\/p>\n

                                  Question 157<\/b><\/h3>\n

                                  A Search Head Cluster application depends on shared application data. Which subsystem may require specific resilience planning?<\/b><\/p>\n

                                    \n
                                  1. Universal Forwarder<\/span><\/li>\n
                                  2. KV Store<\/span><\/li>\n
                                  3. Indexer bucket naming<\/span><\/li>\n
                                  4. License pool labels<\/span><\/li>\n<\/ol>\n

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

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

                                    Applications can use KV Store to maintain structured data that supports application functionality. In a Search Head Cluster, architects should understand how KV Store operates, how data is replicated or coordinated, and what happens during member failures or maintenance. Applications that depend on KV Store may behave differently if its availability or health is compromised. Universal Forwarders handle data collection, while bucket naming and license-pool labels address different concerns. KV Store should therefore be included in application dependency analysis and capacity planning when designing resilient search-head infrastructure.<\/span><\/p>\n

                                    Question 158<\/b><\/h3>\n

                                    An architect wants to identify whether a storage subsystem is approaching a performance limit before users report slow searches. What should be monitored?<\/b><\/p>\n

                                      \n
                                    1. Disk latency and I\/O utilization trends<\/span><\/li>\n
                                    2. User role names<\/span><\/li>\n
                                    3. Dashboard colors<\/span><\/li>\n
                                    4. Password expiration dates<\/span><\/li>\n<\/ol>\n

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

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

                                      Monitoring disk latency and I\/O utilization trends can reveal storage performance degradation before it becomes a severe user-facing problem. Architects should examine sustained latency, throughput, IOPS, queue depth, and utilization over time rather than relying on a single measurement. Trend analysis can identify whether storage performance is approaching a threshold as ingest and search workloads grow. User roles, dashboard colors, and password expiration dates do not provide information about storage performance. Proactive monitoring allows capacity issues to be addressed before they significantly affect indexing or search responsiveness.<\/span><\/p>\n

                                      Question 159<\/b><\/h3>\n

                                      An indexer cluster is expected to experience periodic peer maintenance. What should the architecture provide?<\/b><\/p>\n

                                        \n
                                      1. Enough remaining capacity to support the workload during maintenance<\/span><\/li>\n
                                      2. No replication between peers<\/span><\/li>\n
                                      3. A single search head only<\/span><\/li>\n
                                      4. Permanent suspension of indexing<\/span><\/li>\n<\/ol>\n

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

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

                                        Planned maintenance temporarily reduces available capacity when an indexer peer is taken out of service. The architecture should therefore provide enough remaining resources to continue normal workloads while maintaining required resilience as far as practical. The architect should consider replication, searchability, storage headroom, indexing throughput, and the expected duration of maintenance. Eliminating replication or relying on a single search head would reduce resilience, while permanently suspending indexing is not a practical production strategy. Maintenance planning should be incorporated into capacity design rather than treated as an exceptional event with no resource implications.<\/span><\/p>\n

                                        Question 160<\/b><\/h3>\n

                                        A Splunk architect is reviewing the complete production design before implementation. Which combination should be confirmed?<\/b><\/p>\n

                                          \n
                                        1. Dashboard style, password length, and user names<\/span><\/li>\n
                                        2. Search result formatting and interface language<\/span><\/li>\n
                                        3. Data flows, capacity, resilience, dependencies, and failure scenarios<\/span><\/li>\n
                                        4. Only the number of indexes<\/span><\/li>\n<\/ol>\n

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

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

                                          A complete production architecture review should examine how data flows through the environment, whether components have sufficient capacity, how resilience requirements are implemented, and what dependencies and failure scenarios exist. This includes forwarding, processing, indexing, search, storage, networking, cluster management, replication, and recovery considerations. Reviewing only the number of indexes or user-interface characteristics provides an incomplete picture of production readiness. Architects should validate both normal operating requirements and failure behavior before implementation so that the resulting deployment can support expected workloads while remaining maintainable and resilient.<\/span><\/p>\n

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

                                          View Full Splunk SPLK-2002 Exam Dumps and Practice Test Dumps.   Question 141 An architect is planning additional indexer peers for a growing deployment. Which factor should be included when estimating the required number of peers? Dashboard theme User interface language Ingest, search, storage, and replication workload Password expiration period Correct Answer: 3 Explanation Indexer […]<\/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\/24342"}],"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=24342"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/24342\/revisions"}],"predecessor-version":[{"id":24343,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/24342\/revisions\/24343"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=24342"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=24342"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=24342"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}