{"id":24358,"date":"2026-09-29T07:18:17","date_gmt":"2026-09-29T07:18:17","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=24358"},"modified":"2026-09-29T07:18:17","modified_gmt":"2026-09-29T07:18:17","slug":"splunk-splk-2002-practice-test-questions-and-exam-dumps-part16-q301-320","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/splunk-splk-2002-practice-test-questions-and-exam-dumps-part16-q301-320\/","title":{"rendered":"Splunk SPLK-2002 Practice Test Questions and Exam Dumps Part16 Q301-320"},"content":{"rendered":"

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

 <\/p>\n

Question 301<\/b><\/h3>\n

A Search Head Cluster is experiencing uneven resource utilization among members. Which investigation is most appropriate?<\/b><\/p>\n

    \n
  1. Compare workload distribution, search activity, and member configuration<\/span><\/li>\n
  2. Increase data retention immediately<\/span><\/li>\n
  3. Rename the affected indexes<\/span><\/li>\n
  4. Disable bucket replication<\/span><\/li>\n<\/ol>\n

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

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

    Uneven resource utilization across Search Head Cluster members should first be investigated by comparing search workload, scheduled searches, concurrent activity, resource consumption, and configuration state. A member receiving substantially more work or having different application configuration may experience higher CPU or memory usage than its peers. The architect should establish whether the difference is caused by workload distribution, configuration drift, or another member-specific condition before making capacity changes. Increasing retention and renaming indexes do not directly address search-head utilization, while disabling replication would affect data resilience rather than resolve a search-tier imbalance.<\/span><\/p>\n

    Question 302<\/b><\/h3>\n

    An architect is reviewing an indexer cluster after adding several new peers. Which factor is important when assessing the resulting cluster behavior?<\/b><\/p>\n

      \n
    1. Dashboard ownership<\/span><\/li>\n
    2. Password policy<\/span><\/li>\n
    3. Bucket redistribution and resource utilization<\/span><\/li>\n
    4. Search result formatting<\/span><\/li>\n<\/ol>\n

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

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

      Adding indexer peers can change bucket distribution and trigger cluster activity associated with redistributing or replicating data. The architect should examine bucket placement, peer utilization, storage consumption, network traffic, indexing throughput, and cluster health after the topology change. The new peers should provide additional capacity without creating unexpected bottlenecks or excessive redistribution overhead. Dashboard ownership and password policies are unrelated to indexer-cluster behavior. Search result formatting also does not determine how buckets are distributed. Post-change monitoring helps verify that the expansion produced the intended capacity and resilience improvements.<\/span><\/p>\n

      Question 303<\/b><\/h3>\n

      A company wants to reduce the effect of scheduled searches occurring simultaneously. Which design adjustment should be evaluated?<\/b><\/p>\n

        \n
      1. Increase retention<\/span><\/li>\n
      2. Stagger scheduled search execution times<\/span><\/li>\n
      3. Remove indexer redundancy<\/span><\/li>\n
      4. Change bucket names<\/span><\/li>\n<\/ol>\n

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

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

        When many scheduled searches begin simultaneously, they can create a temporary spike in search concurrency and resource consumption. Staggering execution times can spread the workload over a longer period and reduce contention for CPU, memory, storage I\/O, and other resources. The architect should first identify which searches overlap and whether some can also be optimized. Increasing retention does not reduce search concurrency, while removing indexer redundancy could weaken resilience. Changing bucket names has no meaningful effect on scheduled-search execution. Workload scheduling is therefore an important architectural consideration when search demand is concentrated into narrow time windows.<\/span><\/p>\n

        Question 304<\/b><\/h3>\n

        A multi-site cluster must maintain searchable copies outside the primary site. What should the architect verify?<\/b><\/p>\n

          \n
        1. Dashboard configuration<\/span><\/li>\n
        2. Search result formatting<\/span><\/li>\n
        3. Password policies<\/span><\/li>\n
        4. Site-specific searchable-copy placement and capacity<\/span><\/li>\n<\/ol>\n

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

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

          For site-level resilience, searchable copies must be placed according to the intended site-aware architecture. The architect should verify that searchable copies exist outside the primary failure domain and that surviving sites have sufficient storage, compute, and network capacity to support searches after a site outage. It is not enough to confirm that replicated data exists somewhere in the cluster because data may not be searchable in the required location. Dashboard configuration, formatting, and password policies do not determine data placement. Testing site failure can further confirm that the intended searchable-copy strategy works operationally.<\/span><\/p>\n

          Question 305<\/b><\/h3>\n

          An architect is troubleshooting inconsistent timestamp extraction between two ingestion paths. Which area should be compared?<\/b><\/p>\n

            \n
          1. Relevant parsing and timestamp configuration on both paths<\/span><\/li>\n
          2. Search-head dashboard count<\/span><\/li>\n
          3. User account count<\/span><\/li>\n
          4. Indexer hostname naming<\/span><\/li>\n<\/ol>\n

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

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

            Inconsistent timestamp extraction between equivalent ingestion paths can result from differences in parsing configuration. The architect should compare the relevant props, timestamp settings, processing locations, application versions, and deployment state across both paths. The investigation should determine whether one path is receiving a different configuration or processing events on a different tier. User account counts and dashboard counts do not affect event timestamp extraction. Hostname naming is also unrelated. Consistent parsing configuration is important because timestamp differences can affect event ordering, searches, retention behavior, and the overall accuracy of indexed data.<\/span><\/p>\n

            Question 306<\/b><\/h3>\n

            A forwarding tier is approaching its network throughput limit while ingestion volume continues to grow. Which response should be considered?<\/b><\/p>\n

              \n
            1. Reduce search-head redundancy<\/span><\/li>\n
            2. Increase dashboard refresh frequency<\/span><\/li>\n
            3. Evaluate additional forwarding capacity or network bandwidth<\/span><\/li>\n
            4. Reduce the number of indexes<\/span><\/li>\n<\/ol>\n

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

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

              A forwarding tier approaching its network throughput limit may become an ingestion bottleneck as data volume grows. The architect should determine whether the constraint is the forwarding host’s network interface, upstream connectivity, downstream paths, or another part of the network. Additional forwarding capacity, improved network bandwidth, workload redistribution, or topology changes may be appropriate depending on the measured bottleneck. Reducing search-head redundancy does not solve a forwarding network limitation. Dashboard refresh frequency and index count are also unrelated to forwarding throughput. Capacity decisions should be based on measured peak traffic and projected growth.<\/span><\/p>\n

              Question 307<\/b><\/h3>\n

              During a peer failure, recovery activity causes substantial disk I\/O on surviving indexers. What should be included in future capacity planning?<\/b><\/p>\n

                \n
              1. Only normal daily ingestion<\/span><\/li>\n
              2. Recovery and replication workload in addition to normal workload<\/span><\/li>\n
              3. Dashboard refresh activity<\/span><\/li>\n
              4. User authentication traffic<\/span><\/li>\n<\/ol>\n

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

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

                Recovery following a peer failure can generate additional replication and bucket-management activity on surviving indexers. This workload consumes storage I\/O, CPU, network resources, and potentially other capacity that would otherwise support normal operations. Future capacity planning should therefore model both steady-state workload and failure-state recovery activity. Planning only around normal daily ingestion may leave insufficient headroom during an outage. Dashboard refresh activity and user authentication traffic are not the primary drivers of recovery-related indexer I\/O. Including realistic failure scenarios produces a more accurate assessment of whether the architecture can recover while maintaining acceptable service levels.<\/span><\/p>\n

                Question 308<\/b><\/h3>\n

                An organization is assessing whether a storage platform can support a new indexing workload. Which measurements are most useful?<\/b><\/p>\n

                  \n
                1. Search-head application count<\/span><\/li>\n
                2. User login frequency<\/span><\/li>\n
                3. Dashboard refresh rate<\/span><\/li>\n
                4. Storage latency, throughput, and I\/O behavior under representative load<\/span><\/li>\n<\/ol>\n

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

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

                  Storage suitability depends on both capacity and performance. For a new indexing workload, the architect should measure storage latency, throughput, I\/O operations, queue behavior, and utilization under representative and peak conditions. A platform may have sufficient available space but still fail to provide the performance required for sustained indexing and searching. Testing should reflect realistic event rates and workload patterns rather than relying solely on vendor specifications or average utilization. Application counts, login frequency, and dashboard refresh rates do not meaningfully determine indexer storage performance. Performance testing provides evidence for an informed infrastructure decision.<\/span><\/p>\n

                  Question 309<\/b><\/h3>\n

                  A Search Head Cluster application contains configuration changes that affect search behavior. What should be verified before deployment?<\/b><\/p>\n

                    \n
                  1. Package contents, dependencies, compatibility, and expected cluster behavior<\/span><\/li>\n
                  2. Number of frozen buckets<\/span><\/li>\n
                  3. Password expiration intervals<\/span><\/li>\n
                  4. Indexer hostname length<\/span><\/li>\n<\/ol>\n

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

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

                    An application containing configuration changes that affect search behavior should be carefully validated before deployment to a Search Head Cluster. The architect should review package contents, dependencies, compatibility, permissions, configuration scope, and expected effects on cluster members. Testing can help identify conflicts or unexpected behavior before production deployment. Frozen bucket counts and password expiration intervals do not validate an application’s search configuration. Hostname length is similarly irrelevant. Controlled application deployment reduces the risk of inconsistent member states and allows administrators to identify potential issues before they affect users across the search tier.<\/span><\/p>\n

                    Question 310<\/b><\/h3>\n

                    A new indexer site will receive traffic from existing forwarding infrastructure. What should be evaluated before routing production data there?<\/b><\/p>\n

                      \n
                    1. Dashboard ownership<\/span><\/li>\n
                    2. Site connectivity, ingestion capacity, and failure behavior<\/span><\/li>\n
                    3. Password complexity<\/span><\/li>\n
                    4. Search result appearance<\/span><\/li>\n<\/ol>\n

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

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

                      Before routing production data to a new indexer site, the architect should verify network connectivity, expected ingest throughput, storage capacity, peer health, and the site’s behavior during failures. The effect on forwarding paths and existing load distribution should also be considered. If the site participates in a multi-site architecture, inter-site bandwidth and intended replication or searchability behavior should be validated as well. Dashboard ownership and password complexity do not determine site readiness. Testing the new path before production traffic helps ensure that the additional site integrates correctly without creating unexpected bottlenecks or resilience problems.<\/span><\/p>\n

                      Question 311<\/b><\/h3>\n

                      A cluster configuration bundle contains a change that could affect multiple peers. Which deployment principle should guide the change?<\/b><\/p>\n

                        \n
                      1. Distribute the change without validation<\/span><\/li>\n
                      2. Validate the bundle and expected impact before broad deployment<\/span><\/li>\n
                      3. Disable all peer communication<\/span><\/li>\n
                      4. Modify every peer independently<\/span><\/li>\n<\/ol>\n

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

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

                        A cluster configuration bundle can affect multiple indexer peers, so changes should be validated before broad deployment. The architect should review syntax, dependencies, compatibility, expected behavior, and potential effects on indexing and searching. Controlled testing and a rollback strategy are valuable when changes have significant operational impact. Distributing an unvalidated bundle can introduce the same problem across many peers at once. Independently modifying every peer can also create configuration drift. A controlled bundle-based deployment approach improves consistency while allowing administrators to assess the potential blast radius before production changes are applied.<\/span><\/p>\n

                        Question 312<\/b><\/h3>\n

                        An architect needs to understand whether a search performance problem is caused by workload rather than infrastructure capacity. Which approach is most useful?<\/b><\/p>\n

                          \n
                        1. Compare affected searches with resource and concurrency metrics<\/span><\/li>\n
                        2. Change dashboard colors<\/span><\/li>\n
                        3. Increase retention immediately<\/span><\/li>\n
                        4. Rename the search indexes<\/span><\/li>\n<\/ol>\n

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

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

                          To distinguish workload-related performance issues from infrastructure constraints, the architect should correlate affected searches with concurrency, execution duration, CPU, memory, storage I\/O, and network metrics. Comparing periods with normal and degraded performance can reveal whether the problem occurs when search demand increases or whether infrastructure performance changes independently. Changing dashboard colors and renaming indexes do not provide useful diagnostic evidence. Increasing retention may actually add storage requirements without addressing the underlying issue. Correlation between search behavior and resource metrics provides a stronger basis for deciding whether workload optimization or infrastructure expansion is necessary.<\/span><\/p>\n

                          Question 313<\/b><\/h3>\n

                          A peer repeatedly leaves and rejoins an indexer cluster. Which architectural concern should receive attention?<\/b><\/p>\n

                            \n
                          1. Dashboard scheduling<\/span><\/li>\n
                          2. User password history<\/span><\/li>\n
                          3. Peer connectivity, health, and the resulting recovery workload<\/span><\/li>\n
                          4. Search result formatting<\/span><\/li>\n<\/ol>\n

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

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

                            Repeated peer departures and rejoining can cause recurring recovery and replication activity. The architect should investigate peer health, network connectivity, resource exhaustion, storage problems, and communication reliability. Each disruption may cause the cluster to repair data placement, increasing network, disk, and CPU consumption. Frequent recovery cycles can therefore create secondary performance problems even when the original peer issue appears temporary. Dashboard scheduling, password history, and search formatting are unrelated. The goal should be to identify the underlying cause of the peer instability and assess whether repeated recovery activity is affecting overall cluster capacity.<\/span><\/p>\n

                            Question 314<\/b><\/h3>\n

                            A deployment requires centralized control over configuration changes across many Splunk components. What architectural characteristic is most important?<\/b><\/p>\n

                              \n
                            1. Independent manual changes on every server<\/span><\/li>\n
                            2. Controlled configuration management and consistent deployment processes<\/span><\/li>\n
                            3. Different settings on every peer<\/span><\/li>\n
                            4. Untracked local modifications<\/span><\/li>\n<\/ol>\n

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

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

                              Large distributed Splunk deployments benefit from controlled configuration management because consistency becomes increasingly difficult as the number of components grows. The architect should establish appropriate deployment mechanisms, ownership, validation procedures, version control practices, and change processes for each component type. Independent manual changes can introduce configuration drift and make troubleshooting difficult. Deliberately maintaining different settings without architectural justification can also produce inconsistent behavior. Untracked local modifications increase operational risk. Centralized and controlled deployment processes help ensure that intended configuration changes are applied predictably while preserving visibility into what changed and where.<\/span><\/p>\n

                              Question 315<\/b><\/h3>\n

                              A company expects a predictable increase in both ingestion and search activity. Which planning method provides the strongest basis for future capacity decisions?<\/b><\/p>\n

                                \n
                              1. Use historical trends together with projected growth and peak workload<\/span><\/li>\n
                              2. Use only current average utilization<\/span><\/li>\n
                              3. Count only the number of dashboards<\/span><\/li>\n
                              4. Plan only for storage capacity<\/span><\/li>\n<\/ol>\n

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

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

                                Future capacity decisions should combine historical workload trends with projected growth and expected peak demand. The architect should model ingestion rates, search concurrency, storage consumption, network traffic, resource utilization, retention, and resilience overhead. Average utilization alone can hide short periods of saturation, while storage capacity alone ignores CPU, memory, network, and search constraints. Dashboard counts are not a reliable capacity metric. Using historical measurements together with realistic growth assumptions provides a more defensible model and helps determine when additional infrastructure or workload optimization may be required.<\/span><\/p>\n

                                Question 316<\/b><\/h3>\n

                                A site-loss test shows that data remains available, but recovery traffic saturates the inter-site network. What does this indicate?<\/b><\/p>\n

                                  \n
                                1. The replication factor should always be removed<\/span><\/li>\n
                                2. The architecture has no storage requirements<\/span><\/li>\n
                                3. Recovery network capacity was not adequately modeled<\/span><\/li>\n
                                4. Search heads do not require capacity planning<\/span><\/li>\n<\/ol>\n

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

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

                                  If data remains available during a site-loss test but recovery traffic saturates the inter-site network, the architecture demonstrates a capacity weakness in its recovery path. The architect should review the amount of recovery traffic generated, available bandwidth, network contention, expected recovery duration, and the impact on normal ingestion and searches. This finding does not mean replication should be removed because replication contributes to resilience. It indicates that failure-state network requirements were underestimated or insufficiently provisioned. Recovery testing is valuable because it exposes resource constraints that may not appear during normal steady-state operation.<\/span><\/p>\n

                                  Question 317<\/b><\/h3>\n

                                  An architect wants to verify that an indexer cluster maintains the intended data resilience after a topology change. What should be checked?<\/b><\/p>\n

                                    \n
                                  1. Dashboard ownership<\/span><\/li>\n
                                  2. Current bucket placement, replication state, and peer health<\/span><\/li>\n
                                  3. Password expiration<\/span><\/li>\n
                                  4. Search result colors<\/span><\/li>\n<\/ol>\n

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

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

                                    After a topology change, the architect should verify that bucket placement and replication state still satisfy the intended resilience requirements. Peer health, bucket distribution, replication activity, storage capacity, and recovery status should be reviewed to ensure that the cluster has reached the expected steady state. A topology change can temporarily trigger redistribution or replication, so validation should occur after relevant cluster activity has settled. Dashboard ownership, password expiration, and search-result colors do not provide evidence about indexer data resilience. Reviewing actual cluster state confirms whether the architecture is behaving as designed.<\/span><\/p>\n

                                    Question 318<\/b><\/h3>\n

                                    A Search Head Cluster member has substantially higher memory usage than its peers. Which first step is most appropriate?<\/b><\/p>\n

                                      \n
                                    1. Increase indexer storage immediately<\/span><\/li>\n
                                    2. Remove search redundancy<\/span><\/li>\n
                                    3. Compare its searches, applications, and workload with other members<\/span><\/li>\n
                                    4. Change retention settings<\/span><\/li>\n<\/ol>\n

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

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

                                      Higher memory usage on one Search Head Cluster member should first be investigated through comparison with its peers. The architect should examine active and scheduled searches, application configuration, knowledge objects, workload distribution, search duration, and other member-specific conditions. This can reveal whether the member is handling more work or has configuration differences that explain its memory consumption. Increasing indexer storage or changing retention does not directly address search-head memory usage. Removing search redundancy could reduce resilience without solving the underlying problem. Comparative analysis provides evidence before any architectural capacity change is made.<\/span><\/p>\n

                                      Question 319<\/b><\/h3>\n

                                      A high-volume source is added to a forwarding tier that already handles several transformed data streams. Which metric is especially important during validation?<\/b><\/p>\n

                                        \n
                                      1. Processing throughput and queue behavior<\/span><\/li>\n
                                      2. Dashboard count<\/span><\/li>\n
                                      3. Password reset frequency<\/span><\/li>\n
                                      4. Search result formatting<\/span><\/li>\n<\/ol>\n

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

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

                                        A high-volume source combined with transformation workloads can place substantial pressure on a forwarding tier. Processing throughput and queue behavior are therefore important validation metrics. The architect should monitor event-processing rates, queue growth, CPU, memory, network utilization, processing latency, and peak workload behavior. If queues grow consistently, the tier may lack sufficient capacity to process incoming data at the required rate. Dashboard count and password resets do not indicate forwarding performance. Search-result formatting is also unrelated. Measuring throughput under realistic peak conditions helps determine whether the forwarding architecture can safely accommodate the new source.<\/span><\/p>\n

                                        Question 320<\/b><\/h3>\n

                                        A final architecture review is being conducted before production approval. Which evidence should be included to demonstrate readiness?<\/b><\/p>\n

                                          \n
                                        1. Dashboard screenshots only<\/span><\/li>\n
                                        2. Current user count only<\/span><\/li>\n
                                        3. Normal and peak performance measurements plus relevant resilience and recovery test results<\/span><\/li>\n
                                        4. Password policy documentation only<\/span><\/li>\n<\/ol>\n

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

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

                                          Production approval should be supported by evidence covering both performance and resilience. The architect should review normal workload measurements, peak performance results, resource utilization, search concurrency, ingestion behavior, storage and network performance, and results from relevant failure and recovery tests. This evidence demonstrates whether the architecture can support expected demand and continue operating acceptably when components or sites fail. Dashboard screenshots, user counts, or password policies cannot establish architectural readiness. A comprehensive validation record also provides a useful baseline for future capacity planning and troubleshooting after the environment enters production.<\/span><\/p>\n

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

                                          View Full Splunk SPLK-2002 Exam Dumps and Practice Test Dumps.   Question 301 A Search Head Cluster is experiencing uneven resource utilization among members. Which investigation is most appropriate? Compare workload distribution, search activity, and member configuration Increase data retention immediately Rename the affected indexes Disable bucket replication Correct Answer: 1 Explanation Uneven resource utilization […]<\/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\/24358"}],"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=24358"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/24358\/revisions"}],"predecessor-version":[{"id":24359,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/24358\/revisions\/24359"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=24358"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=24358"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=24358"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}