{"id":24336,"date":"2026-09-29T07:13:39","date_gmt":"2026-09-29T07:13:39","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=24336"},"modified":"2026-09-29T07:13:39","modified_gmt":"2026-09-29T07:13:39","slug":"splunk-splk-2002-practice-test-questions-and-exam-dumps-part5-q81-100","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/splunk-splk-2002-practice-test-questions-and-exam-dumps-part5-q81-100\/","title":{"rendered":"Splunk SPLK-2002 Practice Test Questions and Exam Dumps Part5 Q81-100"},"content":{"rendered":"

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

 <\/p>\n

Question 81<\/b><\/h3>\n

An architect needs to determine whether an indexer cluster has enough capacity after adding several new data sources. Which combination provides the most useful assessment?<\/b><\/p>\n

    \n
  1. User roles and dashboard count<\/span><\/li>\n
  2. Ingest volume, storage utilization, and search workload<\/span><\/li>\n
  3. Password policies and authentication methods<\/span><\/li>\n
  4. Number of knowledge objects only<\/span><\/li>\n<\/ol>\n

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

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

    Capacity assessment should consider the major workloads that consume indexer resources. Ingest volume determines how much data must be processed, while storage utilization shows whether current disk capacity can support retention requirements. Search workload is also important because indexing and searching compete for CPU, memory, disk I\/O, and network resources. Looking at only one metric can hide an emerging bottleneck. User roles, password policies, and dashboard counts may matter operationally but do not provide a comprehensive view of indexer capacity. Architects should evaluate current usage alongside expected growth and peak workload conditions.<\/span><\/p>\n

    Question 82<\/b><\/h3>\n

    What is an important consideration when changing an indexer’s hot bucket configuration?<\/b><\/p>\n

      \n
    1. It can affect storage usage and bucket management behavior<\/span><\/li>\n
    2. It automatically increases search-head memory<\/span><\/li>\n
    3. It removes the need for replication<\/span><\/li>\n
    4. It changes user authentication<\/span><\/li>\n<\/ol>\n

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

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

      Hot bucket configuration affects how indexed data is managed while buckets are actively receiving events. Changes can influence disk utilization, bucket lifecycle behavior, and the amount of storage consumed by active data. An architect should therefore evaluate expected ingest volume, available storage, filesystem performance, retention requirements, and operational consequences before changing related settings. Hot bucket configuration does not increase search-head memory, eliminate indexer replication, or modify authentication. Configuration changes should be tested against realistic workloads because aggressive settings can create unexpected storage pressure or operational behavior in a high-volume environment.<\/span><\/p>\n

      Question 83<\/b><\/h3>\n

      A Search Head Cluster member has configuration changes that were not distributed through the normal SHC deployment process. What architectural problem can result?<\/b><\/p>\n

        \n
      1. Automatic indexer replication<\/span><\/li>\n
      2. Configuration drift between cluster members<\/span><\/li>\n
      3. Increased license capacity<\/span><\/li>\n
      4. Faster bucket freezing<\/span><\/li>\n<\/ol>\n

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

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

        Applying configuration independently to an SHC member can create configuration drift, where one search head behaves differently from the other members. This can produce inconsistent search results, application behavior, authentication settings, or knowledge-object handling. Architects should use the appropriate SHC configuration distribution mechanisms and understand which settings are managed through the deployer or other supported processes. Indexer replication, licensing capacity, and bucket freezing are separate concerns. Maintaining configuration consistency is especially important in clustered search environments because users expect any available search head to provide equivalent functionality.<\/span><\/p>\n

        Question 84<\/b><\/h3>\n

        Why should an architect distinguish between configurations managed by the SHC deployer and runtime cluster behavior?<\/b><\/p>\n

          \n
        1. They are always stored on indexers<\/span><\/li>\n
        2. Every configuration change requires rebuilding the cluster<\/span><\/li>\n
        3. They have different management responsibilities<\/span><\/li>\n
        4. Runtime behavior is unrelated to cluster membership<\/span><\/li>\n<\/ol>\n

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

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

          The SHC deployer is responsible for distributing designated applications and configurations to Search Head Cluster members, while runtime cluster behavior involves coordination among the members themselves. Understanding this distinction prevents administrators from attempting to manage every cluster behavior through the deployer. Some settings and operational activities have different supported management paths, and confusing these responsibilities can lead to inconsistent or ineffective changes. An architect should identify which configuration belongs in the deployer-managed bundle and which behavior is controlled by the cluster. This separation supports predictable administration, controlled changes, and easier troubleshooting.<\/span><\/p>\n

          Question 85<\/b><\/h3>\n

          A Search Head Cluster must undergo planned maintenance. Which factor should be checked before starting a rolling restart?<\/b><\/p>\n

            \n
          1. Cluster health and member availability<\/span><\/li>\n
          2. Number of frozen buckets only<\/span><\/li>\n
          3. Index retention on every source<\/span><\/li>\n
          4. Dashboard colors<\/span><\/li>\n<\/ol>\n

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

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

            Before beginning a rolling restart, the architect should verify that the Search Head Cluster is healthy and has enough available members to maintain service while individual members are restarted. The administrator should also consider captain status, active searches, scheduled workloads, application dependencies, and any ongoing cluster operations. Restarting members without confirming cluster health can create unnecessary disruption or prevent the cluster from maintaining normal coordination. Frozen buckets, source retention, and dashboard presentation do not determine whether an SHC rolling restart is safe. Proper preparation reduces maintenance risk while preserving search availability.<\/span><\/p>\n

            Question 86<\/b><\/h3>\n

            An indexer peer is being permanently removed from a cluster. Why must the architect consider bucket replication before completing the removal?<\/b><\/p>\n

              \n
            1. Replicated copies may need to be restored elsewhere<\/span><\/li>\n
            2. Search heads must become indexers<\/span><\/li>\n
            3. All users must be recreated<\/span><\/li>\n
            4. Licensing automatically stops<\/span><\/li>\n<\/ol>\n

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

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

              Removing an indexer peer can reduce the number of available bucket copies and may trigger replication activity as the cluster works to restore the configured replication level. The architect should therefore consider the peer’s existing buckets, current replication state, remaining capacity, and whether the cluster can safely maintain its required resilience after removal. Simply shutting down a peer without planning can create avoidable data-protection or capacity issues. Search heads do not replace indexers, users do not normally need to be recreated, and licensing behavior is not the primary reason for analyzing bucket replication during peer removal.<\/span><\/p>\n

              Question 87<\/b><\/h3>\n

              A cluster manager administrator wants to introduce a configuration change to an indexer cluster. What should happen before the change is distributed to peers?<\/b><\/p>\n

                \n
              1. All searches must be permanently disabled<\/span><\/li>\n
              2. The configuration should be validated<\/span><\/li>\n
              3. Every index must be deleted<\/span><\/li>\n
              4. The search tier must be rebuilt<\/span><\/li>\n<\/ol>\n

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

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

                Validation should occur before distributing an indexer cluster configuration change because an error can affect multiple peers simultaneously. The architect should confirm syntax, supported settings, dependencies, and compatibility with the intended Splunk deployment. This controlled process reduces the risk of introducing a configuration problem throughout the cluster. Permanently disabling searches, deleting indexes, or rebuilding the search tier would be disproportionate and unrelated to normal configuration validation. A well-designed change process combines validation with controlled deployment, monitoring, and a recovery plan so that problems can be identified quickly if they occur.<\/span><\/p>\n

                Question 88<\/b><\/h3>\n

                What is a primary architectural concern when selecting storage for indexer workloads?<\/b><\/p>\n

                  \n
                1. Screen resolution<\/span><\/li>\n
                2. User password length<\/span><\/li>\n
                3. I\/O performance and capacity<\/span><\/li>\n
                4. Search dashboard branding<\/span><\/li>\n<\/ol>\n

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

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

                  Indexer storage must provide sufficient capacity and performance for the expected indexing and searching workload. Capacity determines whether the environment can meet retention requirements, while I\/O performance affects how efficiently data can be written, managed, and searched. Architects should consider throughput, latency, IOPS, filesystem characteristics, growth, redundancy, and the effects of replication when selecting storage. Screen resolution, password length, and dashboard branding do not materially determine indexer storage requirements. Storage should be sized using measured or realistically estimated workloads rather than relying only on nominal disk capacity.<\/span><\/p>\n

                  Question 89<\/b><\/h3>\n

                  A deployment has a large number of scheduled searches that frequently start at the same time. What architectural risk does this create?<\/b><\/p>\n

                    \n
                  1. Increased search concurrency and resource contention<\/span><\/li>\n
                  2. Automatic reduction in replication<\/span><\/li>\n
                  3. Loss of all indexer buckets<\/span><\/li>\n
                  4. Removal of SHC membership<\/span><\/li>\n<\/ol>\n

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

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

                    When many scheduled searches start simultaneously, they can create a sudden increase in search concurrency and consume significant CPU, memory, and other search resources. This can affect interactive searches and increase overall search latency. Architects should examine scheduling patterns, search duration, resource consumption, and workload distribution to determine whether searches can be staggered or optimized. Scheduled-search concentration does not automatically reduce indexer replication, delete buckets, or remove SHC members. Managing workload timing is therefore an important part of designing a predictable search environment, especially when scheduled reports and alerts are numerous.<\/span><\/p>\n

                    Question 90<\/b><\/h3>\n

                    Which architectural characteristic helps an indexer cluster recover from the loss of an individual peer?<\/b><\/p>\n

                      \n
                    1. Shared dashboard ownership<\/span><\/li>\n
                    2. Data replication across peers<\/span><\/li>\n
                    3. Centralized user passwords<\/span><\/li>\n
                    4. Search result formatting<\/span><\/li>\n<\/ol>\n

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

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

                      Replication across indexer peers provides additional copies of bucket data so that the cluster can continue protecting and searching data when an individual peer becomes unavailable. The configured replication factor determines how many copies the cluster attempts to maintain, while search factor influences how many copies are searchable. During peer failure, the cluster can perform recovery activities to restore required copies when sufficient capacity exists. Dashboard ownership, password management, and result formatting do not provide data resilience. Architects should size the cluster so that surviving peers have enough resources to support recovery operations.<\/span><\/p>\n

                      Question 91<\/b><\/h3>\n

                      A multi-site indexer cluster experiences a complete outage at one site. Which metric should the architect examine to understand whether searchable data remains available at the surviving site?<\/b><\/p>\n

                        \n
                      1. Search factor placement across sites<\/span><\/li>\n
                      2. Number of user roles<\/span><\/li>\n
                      3. Dashboard refresh intervals<\/span><\/li>\n
                      4. Password expiration settings<\/span><\/li>\n<\/ol>\n

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

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

                        In a multi-site indexer cluster, searchable data availability after a site outage depends partly on where searchable bucket copies are placed. The architect should examine the configured search factor and its site-aware placement to determine whether sufficient searchable copies exist outside the failed site. This assessment should also consider the actual cluster state and current bucket distribution rather than relying only on configuration values. User roles, dashboard refresh intervals, and password expiration settings do not determine cross-site searchable data availability. Site-aware searchability is therefore a critical part of resilience planning for geographically distributed indexer clusters.<\/span><\/p>\n

                        Question 92<\/b><\/h3>\n

                        An architect notices that replication traffic is consuming a significant portion of available network bandwidth. Which design factor should be reviewed?<\/b><\/p>\n

                          \n
                        1. User interface themes<\/span><\/li>\n
                        2. Replication requirements and network capacity<\/span><\/li>\n
                        3. Dashboard permissions<\/span><\/li>\n
                        4. Search result field aliases<\/span><\/li>\n<\/ol>\n

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

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

                          Indexer replication can generate substantial network traffic because bucket data must be copied between peers to maintain the configured resilience level. When replication consumes a large portion of available bandwidth, the architect should review ingest volume, replication factor, peer placement, network throughput, latency, and expected recovery traffic. The design should ensure that replication does not create unacceptable contention with ingestion or distributed search communication. User interface themes, dashboard permissions, and field aliases do not address network saturation. Capacity planning should include both normal replication traffic and temporary increases that may occur during peer recovery.<\/span><\/p>\n

                          Question 93<\/b><\/h3>\n

                          A forwarding tier sends data to several indexers. What benefit does load balancing across available connections provide?<\/b><\/p>\n

                            \n
                          1. It can distribute ingestion across multiple indexers<\/span><\/li>\n
                          2. It eliminates all parsing requirements<\/span><\/li>\n
                          3. It disables indexer replication<\/span><\/li>\n
                          4. It converts search heads into forwarders<\/span><\/li>\n<\/ol>\n

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

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

                            Forwarder load balancing can distribute incoming data across multiple available indexer connections, helping prevent one destination from receiving an excessive share of the workload. This can improve ingestion distribution and make better use of the available indexing tier. Architects should still consider connection settings, indexer capacity, network conditions, acknowledgment requirements, and failure behavior. Load balancing does not eliminate parsing, disable replication, or change the role of search heads. A balanced forwarding design should be tested under normal and peak ingest conditions to verify that traffic is distributed as expected.<\/span><\/p>\n

                            Question 94<\/b><\/h3>\n

                            What should an architect evaluate when deciding whether to place additional data-processing logic on a heavy forwarder?<\/b><\/p>\n

                              \n
                            1. Only the number of search dashboards<\/span><\/li>\n
                            2. Processing cost and throughput requirements<\/span><\/li>\n
                            3. Only user authentication methods<\/span><\/li>\n
                            4. Search-head captain frequency<\/span><\/li>\n<\/ol>\n

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

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

                              Adding parsing, transformation, routing, or other processing to a heavy forwarder increases the workload handled by that tier. The architect should evaluate CPU and memory requirements, expected event volume, network throughput, latency, and the complexity of the processing logic. Excessive processing can turn the forwarding layer into a bottleneck and delay delivery to indexers. Dashboard count and authentication methods do not directly measure forwarding capacity, while captain elections belong to the search tier. Processing placement should be selected based on workload characteristics and the overall topology rather than convenience alone.<\/span><\/p>\n

                              Question 95<\/b><\/h3>\n

                              An architect is reviewing indexer performance and finds high CPU utilization together with increasing search latency. What should be investigated?<\/b><\/p>\n

                                \n
                              1. CPU-intensive workloads and search concurrency<\/span><\/li>\n
                              2. Dashboard colors<\/span><\/li>\n
                              3. User profile pictures<\/span><\/li>\n
                              4. Frozen bucket names<\/span><\/li>\n<\/ol>\n

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

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

                                High CPU utilization combined with increasing search latency suggests that processing resources may be saturated. The architect should investigate search concurrency, expensive queries, scheduled workloads, indexing activity, and other CPU-intensive processes. Understanding which workload is consuming CPU is important before deciding whether to optimize searches, redistribute workloads, or increase capacity. Dashboard appearance, profile information, and bucket naming do not explain CPU saturation. Performance analysis should correlate Splunk metrics with system-level CPU measurements so that the architect can identify whether the constraint originates from search processing, indexing, or another workload.<\/span><\/p>\n

                                Question 96<\/b><\/h3>\n

                                Why is configuration consistency important when multiple indexers perform the same data-processing function?<\/b><\/p>\n

                                  \n
                                1. It helps ensure comparable processing behavior<\/span><\/li>\n
                                2. It guarantees unlimited storage<\/span><\/li>\n
                                3. It eliminates network latency<\/span><\/li>\n
                                4. It removes the need for backups<\/span><\/li>\n<\/ol>\n

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

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

                                  When multiple indexers or processing components handle comparable workloads, relevant configuration should be consistent so that the same type of data is processed predictably. Differences in applicable parsing, transformation, routing, or index-related settings can produce inconsistent behavior across peers. Architects should establish a controlled configuration-management process and verify that intended settings are deployed to the correct systems. Configuration consistency does not provide unlimited storage, remove network latency, or eliminate backup and recovery considerations. It is instead a foundation for predictable distributed processing and simpler troubleshooting across a large Splunk deployment.<\/span><\/p>\n

                                  Question 97<\/b><\/h3>\n

                                  An architect is planning a major increase in daily ingest volume. Which planning activity should occur before hardware is purchased?<\/b><\/p>\n

                                    \n
                                  1. Estimate workload growth and resource requirements<\/span><\/li>\n
                                  2. Delete existing data<\/span><\/li>\n
                                  3. Disable all scheduled searches permanently<\/span><\/li>\n
                                  4. Remove redundant indexers<\/span><\/li>\n<\/ol>\n

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

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

                                    Before purchasing additional hardware, the architect should estimate expected ingest growth and translate that growth into requirements for CPU, memory, storage, network bandwidth, and indexing capacity. Retention, replication, search workload, peak ingestion rates, and projected user activity should also be included because they affect the required infrastructure. Deleting existing data or removing redundant indexers could reduce resilience rather than solve the underlying capacity problem. Permanently disabling scheduled searches is also not a sustainable planning strategy. Capacity planning should use measurable workload assumptions and account for both current demand and anticipated future growth.<\/span><\/p>\n

                                    Question 98<\/b><\/h3>\n

                                    A search head repeatedly experiences resource contention during business hours but remains lightly utilized overnight. What should the architect examine?<\/b><\/p>\n

                                      \n
                                    1. Workload distribution and time-based search demand<\/span><\/li>\n
                                    2. Frozen bucket ownership<\/span><\/li>\n
                                    3. Password complexity<\/span><\/li>\n
                                    4. Indexer hostname length<\/span><\/li>\n<\/ol>\n

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

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

                                      A workload that peaks during business hours suggests that search demand is time-dependent. The architect should examine concurrent user searches, scheduled reports, alerts, resource-intensive queries, and other activities occurring during the affected period. Comparing peak and off-peak resource metrics can help determine whether the search tier is temporarily saturated. This information can support workload scheduling, search optimization, or capacity adjustments. Frozen bucket ownership, password complexity, and hostname length do not explain time-based resource contention. Architects should size and operate search infrastructure according to realistic peak workloads rather than relying only on daily averages.<\/span><\/p>\n

                                      Question 99<\/b><\/h3>\n

                                      Which factor is especially important when designing a geographically distributed Splunk search architecture?<\/b><\/p>\n

                                        \n
                                      1. Screen resolution<\/span><\/li>\n
                                      2. Inter-site latency and bandwidth<\/span><\/li>\n
                                      3. User avatar size<\/span><\/li>\n
                                      4. Dashboard font selection<\/span><\/li>\n<\/ol>\n

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

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

                                        Geographically distributed Splunk architectures depend on network communication between sites for search coordination, data replication, and other distributed operations. Inter-site latency and bandwidth therefore have a direct effect on architecture design and operational performance. High latency can increase response times, while insufficient bandwidth can create contention between replication, ingestion, and search traffic. Architects should also consider network reliability, failure scenarios, and site-specific capacity. User-interface characteristics such as screen resolution, avatar size, and dashboard fonts do not materially affect the underlying distributed architecture or its cross-site communication requirements.<\/span><\/p>\n

                                        Question 100<\/b><\/h3>\n

                                        An architect is documenting a production Splunk topology for future troubleshooting. Which information is most valuable to include?<\/b><\/p>\n

                                          \n
                                        1. Only dashboard screenshots<\/span><\/li>\n
                                        2. Component relationships, data flows, dependencies, and failure domains<\/span><\/li>\n
                                        3. Only user names<\/span><\/li>\n
                                        4. Only index names<\/span><\/li>\n<\/ol>\n

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

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

                                          A useful topology document should show how major Splunk components connect and depend on one another. This includes data sources, forwarders, parsing or processing tiers, indexers, search heads, cluster-management components, network paths, storage dependencies, and important failure domains. Documenting data flows helps troubleshoot ingestion and search problems, while dependency information supports impact analysis during maintenance or failures. Dashboard screenshots, user names, or index names alone provide only limited operational context. A well-maintained topology document also records redundancy, site boundaries, capacity assumptions, and significant architectural decisions for future troubleshooting.<\/span><\/p>\n

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

                                          View Full Splunk SPLK-2002 Exam Dumps and Practice Test Dumps.   Question 81 An architect needs to determine whether an indexer cluster has enough capacity after adding several new data sources. Which combination provides the most useful assessment? User roles and dashboard count Ingest volume, storage utilization, and search workload Password policies and authentication methods […]<\/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\/24336"}],"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=24336"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/24336\/revisions"}],"predecessor-version":[{"id":24337,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/24336\/revisions\/24337"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=24336"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=24336"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=24336"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}