{"id":24344,"date":"2026-09-29T07:15:46","date_gmt":"2026-09-29T07:15:46","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=24344"},"modified":"2026-09-29T07:15:46","modified_gmt":"2026-09-29T07:15:46","slug":"splunk-splk-2002-practice-test-questions-and-exam-dumps-part9-q161-180","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/splunk-splk-2002-practice-test-questions-and-exam-dumps-part9-q161-180\/","title":{"rendered":"Splunk SPLK-2002 Practice Test Questions and Exam Dumps Part9 Q161-180"},"content":{"rendered":"

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

 <\/p>\n

Question 161<\/b><\/h3>\n

A Search Head Cluster administrator needs to introduce a major application change. Which approach best reduces the risk of inconsistent member behavior?<\/b><\/p>\n

    \n
  1. Apply the change manually to one member only<\/span><\/li>\n
  2. Restart all members before changing anything<\/span><\/li>\n
  3. Use the appropriate SHC deployment process and validate the package<\/span><\/li>\n
  4. Disable replication temporarily<\/span><\/li>\n<\/ol>\n

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

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

    A major application change should be prepared, validated, and distributed through the appropriate Search Head Cluster deployment process. Using the supported mechanism helps maintain consistency across members and reduces configuration drift. The architect should review application dependencies, compatibility, configuration contents, and expected runtime behavior before distribution. Manually changing only one member can create inconsistent behavior, while restarting every member does not validate the application. Disabling replication would also remove an important cluster capability without addressing the configuration problem. Controlled deployment provides a safer and more predictable method for managing significant application changes.<\/span><\/p>\n

    Question 162<\/b><\/h3>\n

    An indexer cluster experiences repeated peer failures. Which architectural characteristic should be reviewed to determine whether the cluster has sufficient resilience?<\/b><\/p>\n

      \n
    1. Dashboard count<\/span><\/li>\n
    2. Failure-domain distribution and remaining capacity<\/span><\/li>\n
    3. Password complexity<\/span><\/li>\n
    4. Search result formatting<\/span><\/li>\n<\/ol>\n

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

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

      Repeated peer failures require the architect to examine both failure-domain distribution and the capacity of the surviving peers. If redundant bucket copies are concentrated in the same failure domain, multiple failures can affect availability more severely than expected. Surviving peers must also have sufficient storage, CPU, disk, and network capacity to continue normal workloads and recovery operations. Dashboard count and password complexity do not determine indexer resilience. The architect should review actual bucket placement, replication and searchability requirements, peer health, and available headroom to determine whether the existing design can withstand repeated failures.<\/span><\/p>\n

      Question 163<\/b><\/h3>\n

      Why should an architect distinguish between data replication and data searchability in an indexer cluster?<\/b><\/p>\n

        \n
      1. They represent different resilience and availability requirements<\/span><\/li>\n
      2. They always have identical values<\/span><\/li>\n
      3. They apply only to search heads<\/span><\/li>\n
      4. They control user authentication<\/span><\/li>\n<\/ol>\n

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

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

        Data replication and searchability address related but different requirements in an indexer cluster. Replication determines how many copies of indexed data the cluster maintains for resilience, while search factor determines how many copies are maintained in a searchable state. A cluster may have replicated data that is not immediately searchable on every copy. Architects must therefore evaluate both settings when designing for peer failures, site outages, storage capacity, and search availability. Treating the two concepts as identical can lead to incorrect resilience assumptions and inadequate infrastructure sizing.<\/span><\/p>\n

        Question 164<\/b><\/h3>\n

        A deployment has a large number of scheduled reports that overlap with peak interactive search periods. What architectural action can reduce contention?<\/b><\/p>\n

          \n
        1. Increase password complexity<\/span><\/li>\n
        2. Rename the reports<\/span><\/li>\n
        3. Remove index replication<\/span><\/li>\n
        4. Review and redistribute scheduled workload timing<\/span><\/li>\n<\/ol>\n

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

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

          Overlapping scheduled reports can create substantial search concurrency and compete with interactive users for search-head resources. Reviewing report schedules and redistributing execution times can reduce simultaneous workload and improve predictability during peak periods. The architect should also investigate long-running searches, unnecessary reports, and resource-intensive queries. Increasing password complexity or renaming reports has no effect on resource contention, while removing index replication would address a different concern and could reduce data resilience. Workload scheduling is therefore a practical architectural control for managing search concurrency without immediately adding infrastructure.<\/span><\/p>\n

          Question 165<\/b><\/h3>\n

          An architect is sizing storage for an indexer cluster with a high replication factor. Which calculation should account for the additional copies?<\/b><\/p>\n

            \n
          1. User count only<\/span><\/li>\n
          2. Dashboard refresh frequency<\/span><\/li>\n
          3. Required indexed storage multiplied by replication overhead<\/span><\/li>\n
          4. Number of search-head applications<\/span><\/li>\n<\/ol>\n

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

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

            Physical storage requirements increase when an indexer cluster maintains multiple copies of indexed data. Therefore, storage planning should start with the amount of indexed data required for the retention period and then account for replication overhead, growth, and operational headroom. The architect should also consider bucket lifecycle and actual storage efficiency rather than treating raw ingest as equivalent to disk consumption. User counts, dashboard refresh frequency, and application count are not sufficient storage-sizing inputs. Ignoring replication can significantly underestimate the amount of disk capacity required for a resilient production indexer cluster.<\/span><\/p>\n

            Question 166<\/b><\/h3>\n

            A Search Head Cluster member is showing abnormal resource usage. Which comparison is most useful for determining whether the issue is workload-specific?<\/b><\/p>\n

              \n
            1. Compare its workload and resource metrics with other members<\/span><\/li>\n
            2. Compare dashboard colors<\/span><\/li>\n
            3. Compare password lengths<\/span><\/li>\n
            4. Compare index names only<\/span><\/li>\n<\/ol>\n

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

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

              Comparing workload and resource metrics across Search Head Cluster members can reveal whether one member is experiencing an unusual workload or resource condition. Useful measurements include CPU, memory, active searches, scheduled searches, search duration, and other relevant operational metrics. If one member differs significantly from otherwise similar members, the architect can investigate workload distribution, member health, or configuration differences. Dashboard colors and password lengths do not provide useful performance evidence. Index names alone also cannot explain resource utilization. Comparative monitoring is particularly valuable in distributed architectures because it exposes deviations from expected cluster behavior.<\/span><\/p>\n

              Question 167<\/b><\/h3>\n

              A cluster manager administrator needs to make a change affecting indexer peers. What should be included in the change process?<\/b><\/p>\n

                \n
              1. Testing, validation, deployment, and post-change monitoring<\/span><\/li>\n
              2. Immediate deletion of existing configuration<\/span><\/li>\n
              3. Permanent shutdown of search heads<\/span><\/li>\n
              4. Disabling all network communication<\/span><\/li>\n<\/ol>\n

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

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

                A controlled cluster change should include testing where appropriate, configuration validation, planned deployment, and monitoring after the change. This process helps identify errors before they affect production peers and provides evidence that the intended behavior was achieved afterward. Cluster-wide configuration changes can have a broad impact, so architects should also consider dependencies, maintenance windows, rollback procedures, and expected workload conditions. Deleting configuration, shutting down search heads, or disabling network communication are not standard safeguards. Structured change management reduces operational risk while preserving the consistency and availability of the indexing tier.<\/span><\/p>\n

                Question 168<\/b><\/h3>\n

                An architect wants to determine whether a shared storage dependency could limit indexer scalability. Which evidence is most relevant?<\/b><\/p>\n

                  \n
                1. User role count<\/span><\/li>\n
                2. Dashboard ownership<\/span><\/li>\n
                3. Storage latency and throughput under peak workload<\/span><\/li>\n
                4. Search-head application names<\/span><\/li>\n<\/ol>\n

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

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

                  Shared storage can become a bottleneck if its latency or throughput cannot support the combined workload of the indexers using it. The architect should examine storage performance under realistic peak indexing and searching conditions, including I\/O latency, throughput, IOPS, queue depth, and utilization. Simply adding indexers may increase pressure on the shared storage system rather than improve performance. User roles, dashboard ownership, and application names do not provide evidence about storage scalability. Measuring the shared dependency under expected workloads is therefore essential before assuming that additional indexer capacity will provide proportional performance improvements.<\/span><\/p>\n

                  Question 169<\/b><\/h3>\n

                  A multi-site architecture has adequate storage at each site but limited inter-site bandwidth. What could become constrained?<\/b><\/p>\n

                    \n
                  1. Cross-site replication and recovery<\/span><\/li>\n
                  2. Dashboard customization<\/span><\/li>\n
                  3. Password management<\/span><\/li>\n
                  4. User profile synchronization<\/span><\/li>\n<\/ol>\n

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

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

                    Adequate local storage does not compensate for insufficient inter-site network capacity. In a multi-site indexer cluster, cross-site replication and recovery may require substantial data transfer between sites. Limited bandwidth can delay the creation of required redundant copies and increase recovery time after a peer or site failure. It may also create contention with distributed search or ingestion traffic that uses the same network paths. Dashboard customization and password management do not depend on this data-transfer capacity. Architects should therefore evaluate normal and failure-state traffic when designing cross-site connectivity.<\/span><\/p>\n

                    Question 170<\/b><\/h3>\n

                    Which condition can indicate that search-head capacity is insufficient during peak workload?<\/b><\/p>\n

                      \n
                    1. Lower overnight ingest volume<\/span><\/li>\n
                    2. Increasing search latency with high concurrent search activity<\/span><\/li>\n
                    3. Stable password policies<\/span><\/li>\n
                    4. Fewer frozen buckets<\/span><\/li>\n<\/ol>\n

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

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

                      Increasing search latency during periods of high concurrent search activity can indicate that the search tier is approaching or exceeding its available capacity. The architect should examine CPU, memory, search concurrency, scheduled workloads, search duration, and resource contention to determine the cause. A low overnight ingest rate does not explain peak search contention, while password policies and frozen bucket counts are unrelated indicators. The key is to correlate search performance with workload intensity and resource utilization. If the search tier is consistently saturated, workload optimization or additional search capacity may be required.<\/span><\/p>\n

                      Question 171<\/b><\/h3>\n

                      An architect is designing a failure test for an indexer cluster. Which scenario provides a meaningful resilience test?<\/b><\/p>\n

                        \n
                      1. Changing dashboard colors<\/span><\/li>\n
                      2. Renaming an index<\/span><\/li>\n
                      3. Simulating loss of an indexer peer and observing recovery<\/span><\/li>\n
                      4. Updating a user profile<\/span><\/li>\n<\/ol>\n

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

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

                        Simulating the loss of an indexer peer provides a meaningful test of the cluster’s resilience because it exercises data availability, replication recovery, search behavior, and surviving-peer capacity. The architect can observe whether required bucket copies remain available, whether recovery proceeds as expected, and whether user-facing performance remains acceptable. Such testing should be carefully controlled and performed according to operational procedures. Dashboard changes, index renaming, and profile updates do not meaningfully test failure resilience. Failure testing should reflect realistic risks identified during architecture planning rather than focusing only on configuration correctness.<\/span><\/p>\n

                        Question 172<\/b><\/h3>\n

                        A production Search Head Cluster requires predictable maintenance procedures. What should the architect document?<\/b><\/p>\n

                          \n
                        1. Only dashboard names<\/span><\/li>\n
                        2. Only user accounts<\/span><\/li>\n
                        3. Only index retention periods<\/span><\/li>\n
                        4. Member roles, maintenance sequence, health checks, and recovery steps<\/span><\/li>\n<\/ol>\n

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

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

                          A documented SHC maintenance procedure should explain member roles, the order of operations, health checks, workload considerations, and recovery steps. This allows administrators to perform maintenance consistently and reduces the risk of taking too many members offline simultaneously. Documentation should also identify dependencies, expected cluster behavior, and conditions that require stopping or postponing the procedure. Dashboard names, user accounts, and index retention periods may be relevant elsewhere but do not provide a complete SHC maintenance procedure. Clear operational documentation is especially important for repeatable upgrades, patching, and planned infrastructure changes.<\/span><\/p>\n

                          Question 173<\/b><\/h3>\n

                          A Splunk architect needs to determine whether a network path has enough capacity for distributed searches. Which workload should be included in the assessment?<\/b><\/p>\n

                            \n
                          1. Only authentication traffic<\/span><\/li>\n
                          2. Search coordination and result-transfer traffic<\/span><\/li>\n
                          3. Only dashboard images<\/span><\/li>\n
                          4. Only password changes<\/span><\/li>\n<\/ol>\n

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

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

                            Distributed searches generate communication between search heads and indexers, including search coordination and transfer of search-related results. Network capacity planning should therefore account for the expected number of concurrent searches, search complexity, result volume, latency, and other traffic sharing the same links. Authentication traffic alone would not represent the primary search-network workload. Dashboard images and password changes are also not suitable sizing measures. Architects should assess both average and peak search traffic and determine whether shared network paths could become congested when ingestion, replication, and distributed searches operate simultaneously.<\/span><\/p>\n

                            Question 174<\/b><\/h3>\n

                            A new data source is expected to generate a large increase in event volume. Which architecture question should be answered before onboarding it?<\/b><\/p>\n

                              \n
                            1. Which dashboard color should be used?<\/span><\/li>\n
                            2. How many user profiles exist?<\/span><\/li>\n
                            3. Which processing tier should handle the required data transformation?<\/span><\/li>\n
                            4. Which search-head captain will be elected?<\/span><\/li>\n<\/ol>\n

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

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

                              Before onboarding a high-volume data source, the architect should determine where required parsing, transformation, routing, and other processing should occur. Processing placement affects CPU usage, network traffic, configuration management, and consistency of indexed data. The decision should consider event characteristics, required transformations, expected volume, and the capabilities of the selected tier. Dashboard colors and user profiles are unrelated, while captain election is a search-head cluster concern. Proper processing placement helps prevent bottlenecks and ensures that configuration is deployed to the systems responsible for handling the incoming data.<\/span><\/p>\n

                              Question 175<\/b><\/h3>\n

                              An architect is investigating why a forwarder has accumulated a large queue. What should be examined first?<\/b><\/p>\n

                                \n
                              1. Downstream destination availability and throughput<\/span><\/li>\n
                              2. Dashboard permissions<\/span><\/li>\n
                              3. User password length<\/span><\/li>\n
                              4. Search-head application colors<\/span><\/li>\n<\/ol>\n

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

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

                                A large forwarding queue can indicate that downstream indexers are unavailable, slow, overloaded, or otherwise unable to accept data at the incoming rate. The architect should examine destination connectivity, indexer throughput, network conditions, acknowledgment behavior, and queue growth over time. The incoming event rate should also be compared with downstream processing capacity. Dashboard permissions and password length do not normally cause forwarding queues to grow. Identifying the downstream constraint is important because continued queue growth can eventually exhaust available buffering and create a risk of delayed or lost data.<\/span><\/p>\n

                                Question 176<\/b><\/h3>\n

                                Why should an architect include recovery traffic when sizing network infrastructure for a replicated indexer cluster?<\/b><\/p>\n

                                  \n
                                1. Recovery can temporarily generate additional replication traffic<\/span><\/li>\n
                                2. Recovery permanently stops all searches<\/span><\/li>\n
                                3. Recovery eliminates network requirements<\/span><\/li>\n
                                4. Recovery changes user permissions<\/span><\/li>\n<\/ol>\n

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

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

                                  After an indexer failure, the cluster may need to restore missing bucket copies on surviving peers. This recovery process can generate substantially more replication traffic than normal steady-state operation. If network capacity is sized only for average traffic, recovery may saturate shared links and increase restoration time or interfere with ingestion and searches. Architects should therefore model both normal replication and failure-related recovery traffic. Recovery does not permanently stop searches, remove network requirements, or modify user permissions. Including recovery traffic in capacity planning helps ensure that resilience mechanisms can operate effectively under failure conditions.<\/span><\/p>\n

                                  Question 177<\/b><\/h3>\n

                                  An architect finds that one indexer has substantially higher indexing load than its peers. Which area should be investigated?<\/b><\/p>\n

                                    \n
                                  1. Dashboard ownership<\/span><\/li>\n
                                  2. User password policies<\/span><\/li>\n
                                  3. Forwarding distribution and destination configuration<\/span><\/li>\n
                                  4. Search-head display settings<\/span><\/li>\n<\/ol>\n

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

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

                                    A disproportionately high indexing load on one peer can indicate uneven forwarding distribution, destination configuration differences, availability problems on other peers, or network-related conditions. The architect should examine forwarding load-balancing behavior, active connections, indexer availability, ingest rates, and destination health. If some peers are unavailable or excluded, remaining peers may receive more traffic. Dashboard ownership and display settings do not control ingestion distribution, while password policies are unrelated. Understanding why traffic is uneven is important before adding capacity because a configuration problem can persist even after new hardware is introduced.<\/span><\/p>\n

                                    Question 178<\/b><\/h3>\n

                                    A Search Head Cluster is expected to support a growing number of applications. What should the architect consider beyond CPU and memory?<\/b><\/p>\n

                                      \n
                                    1. Application dependencies, KV Store usage, and configuration management<\/span><\/li>\n
                                    2. Dashboard font size only<\/span><\/li>\n
                                    3. Password length only<\/span><\/li>\n
                                    4. Number of frozen buckets only<\/span><\/li>\n<\/ol>\n

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

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

                                      Application growth can introduce dependencies beyond basic search-head CPU and memory requirements. Architects should consider KV Store usage, application configuration, knowledge objects, scheduled searches, authentication dependencies, storage needs, and how application updates will be distributed across SHC members. Applications may also introduce additional search workload that affects concurrency and capacity. Dashboard font size, password length, and frozen bucket counts do not provide a comprehensive application-capacity assessment. Planning these dependencies early helps prevent application growth from creating unexpected resource contention or configuration-management problems within the search tier.<\/span><\/p>\n

                                      Question 179<\/b><\/h3>\n

                                      Which architectural metric is useful when determining whether an indexer cluster is approaching its storage limit?<\/b><\/p>\n

                                        \n
                                      1. User login frequency<\/span><\/li>\n
                                      2. Dashboard count<\/span><\/li>\n
                                      3. Search-head captain changes<\/span><\/li>\n
                                      4. Storage utilization trend against projected retention needs<\/span><\/li>\n<\/ol>\n

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

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

                                        Storage utilization trends provide a useful indication of whether an indexer cluster is approaching its physical capacity. The architect should compare current and projected utilization against retention requirements, expected ingest growth, replication overhead, and available headroom. A point-in-time measurement is less useful than a trend because growth rates help predict when capacity will become constrained. User login frequency, dashboard count, and captain changes do not directly measure indexer storage consumption. Proactive capacity analysis allows additional storage or indexing resources to be planned before retention requirements or ingestion workloads are affected.<\/span><\/p>\n

                                        Question 180<\/b><\/h3>\n

                                        Before approving a major Splunk Enterprise architecture, which validation provides the broadest operational confidence?<\/b><\/p>\n

                                          \n
                                        1. Checking only the number of indexes<\/span><\/li>\n
                                        2. Reviewing only user authentication<\/span><\/li>\n
                                        3. Testing normal workload, peak workload, and representative failure scenarios<\/span><\/li>\n
                                        4. Checking only dashboard availability<\/span><\/li>\n<\/ol>\n

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

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

                                          A production architecture should be validated under normal operating conditions, peak workloads, and representative failure scenarios. Normal testing confirms that the components work together, while peak testing reveals capacity constraints involving CPU, memory, storage, network, and search concurrency. Failure testing verifies that redundancy, replication, recovery, and workload redistribution behave as intended. Reviewing only indexes, authentication, or dashboards provides an incomplete assessment. Comprehensive validation gives architects evidence that the design meets functional, performance, and resilience requirements rather than relying solely on configuration inspection or theoretical capacity calculations.<\/span><\/p>\n

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

                                          View Full Splunk SPLK-2002 Exam Dumps and Practice Test Dumps.   Question 161 A Search Head Cluster administrator needs to introduce a major application change. Which approach best reduces the risk of inconsistent member behavior? Apply the change manually to one member only Restart all members before changing anything Use the appropriate SHC deployment process […]<\/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\/24344"}],"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=24344"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/24344\/revisions"}],"predecessor-version":[{"id":24345,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/24344\/revisions\/24345"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=24344"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=24344"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=24344"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}