{"id":24354,"date":"2026-09-29T07:17:50","date_gmt":"2026-09-29T07:17:50","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=24354"},"modified":"2026-09-29T07:17:50","modified_gmt":"2026-09-29T07:17:50","slug":"splunk-splk-2002-practice-test-questions-and-exam-dumps-part14-q261-280","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/splunk-splk-2002-practice-test-questions-and-exam-dumps-part14-q261-280\/","title":{"rendered":"Splunk SPLK-2002 Practice Test Questions and Exam Dumps Part14 Q261-280"},"content":{"rendered":"

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

 <\/p>\n

Question 261<\/b><\/h3>\n

An architect is evaluating whether an indexer cluster can tolerate the planned removal of two peers during maintenance. Which information is most important?<\/b><\/p>\n

    \n
  1. Dashboard count<\/span><\/li>\n
  2. Current peer health, bucket copies, and remaining capacity<\/span><\/li>\n
  3. User interface language<\/span><\/li>\n
  4. Number of application icons<\/span><\/li>\n<\/ol>\n

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

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

    Planned removal of multiple indexer peers requires careful evaluation of current cluster health and the data copies available on the remaining peers. The architect should determine whether required replicated and searchable copies remain available and whether the surviving peers have enough CPU, storage, memory, and network capacity to handle normal workloads. Recovery activity may also increase during the maintenance period. Dashboard count, interface language, and application icons do not provide useful resilience information. Reviewing actual cluster state before maintenance helps determine whether removing multiple peers could create an availability or capacity problem.<\/span><\/p>\n

    Question 262<\/b><\/h3>\n

    A forwarding architecture sends several high-volume sources through one processing tier. Which risk should be considered during design review?<\/b><\/p>\n

      \n
    1. The processing tier may become a throughput bottleneck<\/span><\/li>\n
    2. Search heads automatically increase capacity<\/span><\/li>\n
    3. Index replication becomes unnecessary<\/span><\/li>\n
    4. Storage requirements are eliminated<\/span><\/li>\n<\/ol>\n

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

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

      Concentrating several high-volume sources on one processing tier can create a throughput bottleneck if the tier lacks sufficient CPU, memory, network capacity, or processing efficiency. The architect should compare incoming event rates with the tier’s sustainable processing rate and examine queue growth during peak periods. Processing complexity should also be considered because transformations can increase resource consumption. Adding sources without evaluating this bottleneck can introduce ingestion delays. Search-head capacity, index replication, and storage requirements remain separate architectural concerns and are not automatically changed by concentrating sources on one forwarding tier.<\/span><\/p>\n

      Question 263<\/b><\/h3>\n

      A Search Head Cluster experiences increased scheduled-search activity after a business application is introduced. What should be reviewed first?<\/b><\/p>\n

        \n
      1. Bucket naming<\/span><\/li>\n
      2. Indexer hostname length<\/span><\/li>\n
      3. Scheduled workload, concurrency, and search duration<\/span><\/li>\n
      4. Password expiration settings<\/span><\/li>\n<\/ol>\n

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

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

        A new business application may introduce scheduled reports, alerts, dashboards, or other searches that increase the workload on the search tier. The architect should review execution schedules, concurrent searches, search duration, CPU utilization, memory utilization, and workload patterns during the affected periods. This helps determine whether the new application is creating resource contention or simply coinciding with another workload change. Bucket naming and hostname length do not explain search-head contention, while password expiration settings are unrelated. Workload analysis should precede capacity changes so that the actual source of the increased resource demand is understood.<\/span><\/p>\n

        Question 264<\/b><\/h3>\n

        A multi-site indexer cluster has adequate bandwidth during normal operation but becomes congested during peer recovery. What should the architect change in the capacity model?<\/b><\/p>\n

          \n
        1. Remove all search workload assumptions<\/span><\/li>\n
        2. Include failure-state replication and recovery traffic<\/span><\/li>\n
        3. Ignore inter-site traffic<\/span><\/li>\n
        4. Count only dashboard traffic<\/span><\/li>\n<\/ol>\n

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

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

          A capacity model that considers only normal traffic can underestimate network requirements during peer recovery. When a peer fails, the cluster may generate additional replication traffic while restoring required data copies. This traffic can compete with ingestion and distributed searches, especially across inter-site links. The architect should therefore model both steady-state and failure-state network demand and ensure adequate headroom for recovery operations. Removing search assumptions or ignoring inter-site traffic would make the model less accurate. Dashboard traffic is only a small part of the overall architectural workload and should not drive this assessment.<\/span><\/p>\n

          Question 265<\/b><\/h3>\n

          A cluster administrator plans to distribute a significant indexer configuration change. Which action provides an important safeguard before production deployment?<\/b><\/p>\n

            \n
          1. Validate the configuration and review its potential cluster impact<\/span><\/li>\n
          2. Delete existing cluster settings<\/span><\/li>\n
          3. Disable peer communication<\/span><\/li>\n
          4. Restart every search head<\/span><\/li>\n<\/ol>\n

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

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

            A significant indexer configuration change can affect multiple peers, so validation before production distribution is an important safeguard. The architect should review syntax, dependencies, expected behavior, compatibility, and possible effects on indexing and searching. Where practical, changes should be tested in a controlled environment and accompanied by a rollback plan. Deleting existing settings or disabling peer communication does not reduce configuration risk. Restarting search heads is also unrelated to validating indexer configuration. Controlled preparation helps reduce the blast radius of mistakes and makes cluster-wide changes more predictable.<\/span><\/p>\n

            Question 266<\/b><\/h3>\n

            An architect discovers that two equivalent ingestion paths produce different indexed results. Which issue should be investigated?<\/b><\/p>\n

              \n
            1. Dashboard permissions<\/span><\/li>\n
            2. Configuration inconsistency on the processing tiers<\/span><\/li>\n
            3. Search-head display settings<\/span><\/li>\n
            4. User password policies<\/span><\/li>\n<\/ol>\n

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

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

              Different indexed results from equivalent ingestion paths can indicate inconsistent processing configuration. The architect should compare the relevant parsing, transformation, timestamp, routing, and other configuration on the systems handling each path. Configuration placement and deployment methods should also be reviewed to determine whether one path received a different version or set of settings. Dashboard permissions, display settings, and password policies do not normally affect how incoming events are processed. Consistent processing is especially important in distributed environments because configuration drift can create data differences that become difficult to diagnose after events are indexed.<\/span><\/p>\n

              Question 267<\/b><\/h3>\n

              A company wants to determine whether additional search-head capacity is justified. Which evidence should be collected?<\/b><\/p>\n

                \n
              1. Search concurrency and resource utilization during representative peak periods<\/span><\/li>\n
              2. Number of frozen buckets only<\/span><\/li>\n
              3. Password reset frequency<\/span><\/li>\n
              4. Dashboard color usage<\/span><\/li>\n<\/ol>\n

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

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

                Additional search-head capacity should be justified using measured workload and resource data rather than assumptions based only on user count. The architect should examine concurrent searches, scheduled search activity, CPU and memory utilization, search duration, and peak workload periods. Persistent resource saturation correlated with increased search activity may indicate that additional capacity or workload optimization is required. Frozen bucket counts, password reset frequency, and dashboard colors do not provide meaningful evidence about search-head capacity. Representative peak measurements are particularly valuable because average utilization can hide short periods of severe resource contention.<\/span><\/p>\n

                Question 268<\/b><\/h3>\n

                An indexer cluster has healthy peers but searches become slower after a large increase in stored data. Which area should be assessed?<\/b><\/p>\n

                  \n
                1. Password complexity<\/span><\/li>\n
                2. Dashboard ownership<\/span><\/li>\n
                3. Storage performance and search workload characteristics<\/span><\/li>\n
                4. User interface language<\/span><\/li>\n<\/ol>\n

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

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

                  A substantial increase in stored data can affect search performance depending on storage characteristics and the workload generated by searches. The architect should examine disk latency, I\/O throughput, queue depth, storage utilization, search duration, and the scope and concurrency of affected searches. Healthy peer status does not guarantee that the storage subsystem has sufficient performance for the increased workload. Password complexity, dashboard ownership, and interface language are unrelated. The assessment should correlate search behavior with resource metrics to determine whether storage performance or search workload characteristics are creating the observed degradation.<\/span><\/p>\n

                  Question 269<\/b><\/h3>\n

                  A site outage leaves the surviving Splunk site operational, but searches are noticeably slower. What should the architect investigate?<\/b><\/p>\n

                    \n
                  1. Dashboard font settings<\/span><\/li>\n
                  2. User password history<\/span><\/li>\n
                  3. Additional workload and resource utilization on surviving components<\/span><\/li>\n
                  4. Application icon count<\/span><\/li>\n<\/ol>\n

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

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

                    After a complete site outage, surviving components may inherit additional search, indexing, replication, or recovery workload. The architect should examine CPU, memory, storage I\/O, network utilization, search concurrency, and workload redistribution on the surviving site. The architecture may preserve data availability while still lacking enough capacity to maintain normal performance. Dashboard fonts, password history, and application icon counts do not explain this behavior. Site-failure testing should therefore evaluate both availability and performance because an architecture can technically remain operational while experiencing unacceptable degradation under the increased workload.<\/span><\/p>\n

                    Question 270<\/b><\/h3>\n

                    A forwarding tier maintains persistent connections to several indexers. One indexer repeatedly drops out of service. Which behavior should be evaluated?<\/b><\/p>\n

                      \n
                    1. Dashboard scheduling<\/span><\/li>\n
                    2. Forwarder connection and load-balancing behavior<\/span><\/li>\n
                    3. Search-head application colors<\/span><\/li>\n
                    4. Frozen bucket retention<\/span><\/li>\n<\/ol>\n

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

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

                      When an indexer repeatedly becomes unavailable, the forwarding tier’s connection and load-balancing behavior should be examined. The architect should determine how the forwarder detects destination failures, manages existing connections, selects alternate destinations, and resumes distribution when the indexer returns. Network reliability and indexer health should also be checked because the forwarding behavior may only be exposing an underlying connectivity problem. Dashboard scheduling, application colors, and bucket retention do not control forwarding connections. Understanding connection behavior helps verify that ingestion can continue reliably when an individual destination becomes unavailable.<\/span><\/p>\n

                      Question 271<\/b><\/h3>\n

                      A deployment has growing search workloads but stable ingestion. Which capacity metric should receive particular attention on the search tier?<\/b><\/p>\n

                        \n
                      1. Search concurrency<\/span><\/li>\n
                      2. Frozen bucket count<\/span><\/li>\n
                      3. Forwarder hostname length<\/span><\/li>\n
                      4. Replication factor alone<\/span><\/li>\n<\/ol>\n

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

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

                        When search workloads grow while ingestion remains stable, search concurrency becomes an important capacity metric on the search tier. The architect should examine the number of simultaneous searches, scheduled workload, search duration, CPU and memory utilization, and periods of peak user activity. Stable ingestion does not imply stable search demand because user behavior and reporting requirements can change independently. Frozen bucket counts and hostname length do not measure search capacity. Replication factor affects data resilience and storage but does not by itself explain search-head resource consumption. Workload-specific metrics provide a stronger basis for planning search capacity.<\/span><\/p>\n

                        Question 272<\/b><\/h3>\n

                        A new site is being added to an existing multi-site indexer architecture. Which consideration is essential before enabling production traffic?<\/b><\/p>\n

                          \n
                        1. Dashboard customization<\/span><\/li>\n
                        2. Site connectivity, capacity, and intended data-placement behavior<\/span><\/li>\n
                        3. User password length<\/span><\/li>\n
                        4. Search result formatting<\/span><\/li>\n<\/ol>\n

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

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

                          Adding a site changes the physical and logical topology of the indexer cluster. Before production traffic is enabled, the architect should verify site connectivity, inter-site bandwidth and latency, local storage and compute capacity, peer health, and the intended placement of replicated and searchable data. The effect on existing failure domains and recovery behavior should also be understood. Dashboard customization and password length do not determine site readiness. Search result formatting is likewise unrelated to cluster topology. A new site should be validated as part of the complete architecture rather than treated as an isolated infrastructure addition.<\/span><\/p>\n

                          Question 273<\/b><\/h3>\n

                          A configuration deployment succeeds, but administrators suspect some members did not receive the intended change. What should be compared?<\/b><\/p>\n

                            \n
                          1. Actual configuration state across affected members<\/span><\/li>\n
                          2. Dashboard colors<\/span><\/li>\n
                          3. Password expiration dates<\/span><\/li>\n
                          4. Number of user accounts<\/span><\/li>\n<\/ol>\n

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

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

                            When administrators suspect an incomplete configuration deployment, comparing the actual configuration state across affected members is an effective diagnostic step. The architect should identify the intended configuration, compare it with each member’s deployed state, and determine whether differences are expected or indicate a deployment problem. Application state, cluster health, and relevant deployment records can also help establish what occurred. Dashboard colors, password expiration dates, and user account counts do not verify configuration consistency. Direct comparison is important because a successful deployment command does not necessarily prove that every component is operating with the intended final state.<\/span><\/p>\n

                            Question 274<\/b><\/h3>\n

                            An organization wants to reduce the impact of a single storage failure on an indexer environment. Which architectural concern should be assessed?<\/b><\/p>\n

                              \n
                            1. Dashboard scheduling<\/span><\/li>\n
                            2. Search syntax<\/span><\/li>\n
                            3. Storage dependency and failure-domain separation<\/span><\/li>\n
                            4. Password complexity<\/span><\/li>\n<\/ol>\n

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

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

                              To reduce the impact of a storage failure, the architect should identify how indexing components depend on storage systems and whether critical storage resources share a common failure domain. The design should consider storage redundancy, performance, capacity, and the consequences of losing a storage component or path. A system may have redundant indexers but still contain a shared storage dependency that creates a broader failure risk. Dashboard scheduling, search syntax, and password complexity do not address storage resilience. Failure-domain analysis helps expose hidden dependencies that can undermine an otherwise redundant architecture.<\/span><\/p>\n

                              Question 275<\/b><\/h3>\n

                              A scheduled-search workload is causing periodic CPU saturation on the search tier. Which architectural response should be considered?<\/b><\/p>\n

                                \n
                              1. Remove indexer replication<\/span><\/li>\n
                              2. Stagger or optimize the scheduled searches<\/span><\/li>\n
                              3. Rename indexes<\/span><\/li>\n
                              4. Disable network monitoring<\/span><\/li>\n<\/ol>\n

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

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

                                Periodic CPU saturation caused by scheduled searches can often be addressed by reducing simultaneous workload. The architect should review search schedules, identify expensive searches, examine execution duration, and determine whether schedules can be staggered or searches optimized. This approach targets the actual workload pattern rather than changing unrelated architecture components. Removing index replication could weaken data resilience without solving search-head CPU contention. Renaming indexes and disabling network monitoring do not reduce search computation. If optimization and scheduling changes are insufficient, measured workload data can then support a capacity expansion decision.<\/span><\/p>\n

                                Question 276<\/b><\/h3>\n

                                An architect is documenting a Splunk deployment for future troubleshooting. Which information provides the most operational value?<\/b><\/p>\n

                                  \n
                                1. Dashboard colors and fonts<\/span><\/li>\n
                                2. Application icon names<\/span><\/li>\n
                                3. Component dependencies, data flows, network paths, and failure domains<\/span><\/li>\n
                                4. Password character order<\/span><\/li>\n<\/ol>\n

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

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

                                  Operational documentation should explain how data and control flows move through the Splunk environment and how components depend on one another. Useful information includes forwarding paths, indexing tiers, search tiers, management relationships, network connections, storage dependencies, failure domains, and recovery procedures. This information helps administrators troubleshoot problems and understand the likely impact of component failures or configuration changes. Dashboard appearance and password character order provide little architectural value. Clear dependency and data-flow documentation is especially useful in distributed environments because failures frequently cross component boundaries rather than remaining isolated to one server.<\/span><\/p>\n

                                  Question 277<\/b><\/h3>\n

                                  A large data source requires additional preprocessing, but the current forwarding tier is already near capacity. What should the architect evaluate before adding the processing requirement?<\/b><\/p>\n

                                    \n
                                  1. Available CPU, memory, throughput, and queue headroom<\/span><\/li>\n
                                  2. Dashboard count only<\/span><\/li>\n
                                  3. Password expiration frequency<\/span><\/li>\n
                                  4. Search interface language<\/span><\/li>\n<\/ol>\n

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

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

                                    Adding preprocessing to a forwarding tier that is already near capacity can create an ingestion bottleneck. Before introducing the additional processing requirement, the architect should evaluate CPU, memory, network throughput, event-processing rate, queue growth, and available headroom during peak periods. Processing complexity should be compared with the existing workload to determine whether the tier can absorb the additional work. Dashboard count, password expiration, and interface language are not relevant capacity indicators. If sufficient headroom does not exist, workload redistribution or additional processing capacity should be evaluated before production deployment.<\/span><\/p>\n

                                    Question 278<\/b><\/h3>\n

                                    A multi-site cluster must recover quickly after losing an entire site. Which combination should be included in the recovery assessment?<\/b><\/p>\n

                                      \n
                                    1. Dashboard themes and user roles<\/span><\/li>\n
                                    2. Search syntax and index naming<\/span><\/li>\n
                                    3. Cross-site data availability, network capacity, and surviving-site resources<\/span><\/li>\n
                                    4. Password policies and application colors<\/span><\/li>\n<\/ol>\n

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

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

                                      Fast site-level recovery depends on several interconnected architectural factors. The architect should verify that required data remains available across the surviving sites, that inter-site and recovery network capacity is sufficient, and that surviving infrastructure has enough compute, storage, and search capacity to handle the changed workload. Recovery time can be extended if any one of these areas becomes constrained. Dashboard themes, password policies, search syntax, and naming conventions do not determine recovery capability. A realistic site-loss exercise can validate whether the documented recovery design performs within the organization’s required operational objectives.<\/span><\/p>\n

                                      Question 279<\/b><\/h3>\n

                                      An indexer cluster shows increasing disk utilization even though daily ingest appears stable. What should be investigated?<\/b><\/p>\n

                                        \n
                                      1. Dashboard refresh frequency<\/span><\/li>\n
                                      2. Changes in retention, replication, or stored-data growth<\/span><\/li>\n
                                      3. User password history<\/span><\/li>\n
                                      4. Search-head display settings<\/span><\/li>\n<\/ol>\n

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

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

                                        Stable daily ingest does not necessarily mean stable storage consumption. Increasing disk utilization may result from longer retention, higher replication requirements, accumulated data, changes in storage efficiency, or other differences from the original capacity assumptions. The architect should compare current storage trends with retention policies, replication settings, indexed data volume, and historical capacity models. Dashboard refresh frequency and password history do not explain persistent disk growth. Search-head display settings are also unrelated. Investigating these storage-specific factors can identify why capacity is being consumed faster than expected and whether additional resources are required.<\/span><\/p>\n

                                        Question 280<\/b><\/h3>\n

                                        Before approving a major distributed Splunk architecture change, which validation approach provides the strongest evidence?<\/b><\/p>\n

                                          \n
                                        1. Review only current dashboard availability<\/span><\/li>\n
                                        2. Check only user authentication<\/span><\/li>\n
                                        3. Confirm only index naming conventions<\/span><\/li>\n
                                        4. Validate normal operation, peak workload, and relevant failure scenarios<\/span><\/li>\n<\/ol>\n

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

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

                                          A major architecture change should be validated across normal operation, expected peak workload, and relevant failure scenarios. Normal testing verifies functional behavior, while peak testing exposes resource constraints involving CPU, memory, storage, network, and search concurrency. Failure testing demonstrates whether redundancy, recovery, replication, and workload redistribution behave as designed. Reviewing dashboards, authentication, or index naming alone cannot provide this level of confidence. A comprehensive validation approach gives the architect evidence that the proposed change satisfies operational, performance, and resilience requirements before it is fully adopted in production.<\/span><\/p>\n

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

                                          View Full Splunk SPLK-2002 Exam Dumps and Practice Test Dumps.   Question 261 An architect is evaluating whether an indexer cluster can tolerate the planned removal of two peers during maintenance. Which information is most important? Dashboard count Current peer health, bucket copies, and remaining capacity User interface language Number of application icons Correct Answer: […]<\/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\/24354"}],"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=24354"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/24354\/revisions"}],"predecessor-version":[{"id":24355,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/24354\/revisions\/24355"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=24354"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=24354"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=24354"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}