{"id":24360,"date":"2026-09-29T07:18:33","date_gmt":"2026-09-29T07:18:33","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=24360"},"modified":"2026-09-29T07:18:33","modified_gmt":"2026-09-29T07:18:33","slug":"splunk-splk-2002-practice-test-questions-and-exam-dumps-part17-q321-340","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/splunk-splk-2002-practice-test-questions-and-exam-dumps-part17-q321-340\/","title":{"rendered":"Splunk SPLK-2002 Practice Test Questions and Exam Dumps Part17 Q321-340"},"content":{"rendered":"

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

 <\/p>\n

Question 321<\/b><\/h3>\n

An architect is planning additional indexer capacity for a rapidly growing environment. Which factor should be incorporated into the sizing model beyond current ingest volume?<\/b><\/p>\n

    \n
  1. Dashboard color schemes<\/span><\/li>\n
  2. Future growth, peak workload, retention, and resilience overhead<\/span><\/li>\n
  3. Number of user profile images<\/span><\/li>\n
  4. Password reset frequency<\/span><\/li>\n<\/ol>\n

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

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

    Indexer capacity planning should account for future workload rather than relying only on current ingestion. The architect should include projected data growth, peak ingestion rates, retention requirements, replication overhead, search workload, storage performance, and additional resources needed during recovery. Average daily ingestion can hide short periods of substantially higher demand. Similarly, replication and recovery can consume resources beyond those required for steady-state indexing. Dashboard appearance and password-related metrics do not meaningfully affect indexer sizing. A comprehensive model provides sufficient headroom for expected growth while maintaining resilience during operational and failure conditions.<\/span><\/p>\n

    Question 322<\/b><\/h3>\n

    A Search Head Cluster experiences intermittent slow searches only during a scheduled reporting window. Which evidence would most directly help identify the cause?<\/b><\/p>\n

      \n
    1. Concurrent searches and resource utilization during that window<\/span><\/li>\n
    2. Number of frozen buckets<\/span><\/li>\n
    3. Password expiration dates<\/span><\/li>\n
    4. Dashboard theme settings<\/span><\/li>\n<\/ol>\n

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

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

      Intermittent performance problems limited to a scheduled reporting window strongly suggest a workload-related condition. The architect should compare concurrent searches, scheduled-search execution, search duration, CPU, memory, storage I\/O, and network utilization during the affected period with normal periods. This correlation can reveal whether multiple expensive searches are competing for resources at the same time. Frozen bucket counts and password expiration dates do not explain a recurring search-performance pattern. Dashboard themes are also unrelated. Measuring the environment during the actual problem window is particularly important because daily averages may hide short periods of severe resource contention.<\/span><\/p>\n

      Question 323<\/b><\/h3>\n

      A new indexer peer has joined successfully, but the architect wants to confirm that the cluster has reached a stable state. What should be monitored?<\/b><\/p>\n

        \n
      1. Dashboard refresh rates<\/span><\/li>\n
      2. Bucket redistribution, replication activity, peer health, and resource utilization<\/span><\/li>\n
      3. User password history<\/span><\/li>\n
      4. Search result formatting<\/span><\/li>\n<\/ol>\n

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

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

        Adding an indexer peer can initiate bucket redistribution and replication activity. To determine whether the cluster has stabilized, the architect should monitor peer health, bucket distribution, replication activity, storage utilization, network traffic, indexing throughput, and resource consumption. Once the cluster reaches its intended steady state, resource utilization should reflect the new topology without unexpected bottlenecks. Dashboard refresh rates and password history do not indicate indexer-cluster stability. Search-result formatting is also irrelevant. Monitoring the transition from the old topology to the new steady state helps confirm that the additional peer has integrated correctly.<\/span><\/p>\n

        Question 324<\/b><\/h3>\n

        A forwarding architecture must continue sending data when an individual indexer destination becomes unavailable. Which capability should be validated?<\/b><\/p>\n

          \n
        1. Search scheduling<\/span><\/li>\n
        2. Dashboard ownership<\/span><\/li>\n
        3. Forwarder load balancing and destination failover behavior<\/span><\/li>\n
        4. Storage retention policy<\/span><\/li>\n<\/ol>\n

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

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

          Forwarder load balancing and destination failover behavior should be validated when ingestion must continue despite an unavailable indexer. The architect should confirm how forwarding components detect unavailable destinations, select alternate indexers, manage connections, and resume normal distribution when destinations recover. Network connectivity and downstream capacity should also be tested because failover is useful only if alternate destinations can accept the incoming workload. Search scheduling and dashboard ownership do not control forwarding behavior. Retention policies affect storage rather than destination selection. A controlled destination-failure test can verify that ingestion continues as designed.<\/span><\/p>\n

          Question 325<\/b><\/h3>\n

          A multi-site indexer cluster is being configured with different resilience requirements for local and cross-site copies. Which architectural concept should be examined?<\/b><\/p>\n

            \n
          1. Site-specific replication and searchability requirements<\/span><\/li>\n
          2. Dashboard refresh frequency<\/span><\/li>\n
          3. Password policy<\/span><\/li>\n
          4. Search result formatting<\/span><\/li>\n<\/ol>\n

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

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

            Multi-site indexer architectures may require different numbers of data copies within a site and across sites. The architect should therefore examine the intended site-specific replication and searchability requirements and verify that bucket placement satisfies those requirements. The design should also consider available storage, inter-site bandwidth, latency, and the capacity of surviving sites during a failure. Dashboard refresh frequency and password policies do not control data placement. Search-result formatting is unrelated as well. Clearly defining site-level resilience requirements helps ensure that the cluster can meet availability objectives without creating unnecessary resource consumption.<\/span><\/p>\n

            Question 326<\/b><\/h3>\n

            An indexer cluster has adequate CPU but persistent indexing latency. Storage utilization is high and disk latency increases during peak ingest. What is the most likely architectural area to investigate?<\/b><\/p>\n

              \n
            1. Search-head application deployment<\/span><\/li>\n
            2. Storage subsystem performance<\/span><\/li>\n
            3. User authentication<\/span><\/li>\n
            4. Dashboard scheduling<\/span><\/li>\n<\/ol>\n

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

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

              High disk latency during peak ingestion, combined with adequate CPU, points toward the storage subsystem as an important area for investigation. The architect should examine storage throughput, I\/O latency, queue depth, utilization, and the relationship between ingest rate and storage performance. Indexing is heavily dependent on the ability of the storage layer to handle sustained write activity efficiently. Search-head applications and authentication settings do not explain indexer disk latency. Dashboard scheduling may influence search workload but does not directly account for storage pressure during indexing. Performance measurements under representative peak conditions should guide any storage redesign.<\/span><\/p>\n

              Question 327<\/b><\/h3>\n

              A Search Head Cluster has several applications with overlapping configuration files. What should the architect verify before changing one application’s settings?<\/b><\/p>\n

                \n
              1. Configuration precedence and application layering<\/span><\/li>\n
              2. Number of frozen buckets<\/span><\/li>\n
              3. Forwarder hostname length<\/span><\/li>\n
              4. Password expiration intervals<\/span><\/li>\n<\/ol>\n

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

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

                When multiple applications contain overlapping configuration, configuration precedence and application layering become important because the effective setting may not come from the file an administrator expects. The architect should determine which application layer supplies the active value, identify conflicting settings, and understand how the proposed change will affect other applications and cluster members. This is especially important in distributed environments where inconsistent application packages can produce unexpected search behavior. Frozen bucket counts, hostname length, and password expiration do not determine configuration precedence. Reviewing the effective configuration before deployment helps prevent unintended changes.<\/span><\/p>\n

                Question 328<\/b><\/h3>\n

                A company is evaluating whether a high-volume source should bypass an existing processing tier. What should the architect compare?<\/b><\/p>\n

                  \n
                1. Only the number of dashboards<\/span><\/li>\n
                2. Processing requirements, network paths, indexer capacity, and operational dependencies<\/span><\/li>\n
                3. Password complexity<\/span><\/li>\n
                4. Search result colors<\/span><\/li>\n<\/ol>\n

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

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

                  Changing the path of a high-volume source can alter where processing occurs and how network and indexer resources are consumed. The architect should compare the processing requirements, expected data rate, network capacity, downstream indexer capacity, parsing responsibilities, routing behavior, and operational dependencies of each design. Bypassing a processing tier may reduce one bottleneck but could shift processing work elsewhere or create inconsistent event handling. Dashboard counts and password complexity provide no meaningful architectural evidence. The selected path should be evaluated end-to-end rather than judged only by the performance of one component.<\/span><\/p>\n

                  Question 329<\/b><\/h3>\n

                  An architect observes that recovery completes successfully but takes much longer than the organization’s operational target. Which measurement should be reviewed?<\/b><\/p>\n

                    \n
                  1. Recovery workload relative to available storage, network, and compute resources<\/span><\/li>\n
                  2. Dashboard font selection<\/span><\/li>\n
                  3. Password reset frequency<\/span><\/li>\n
                  4. Number of search-result columns<\/span><\/li>\n<\/ol>\n

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

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

                    Successful recovery does not necessarily mean that recovery performance meets operational objectives. The architect should measure recovery workload against available storage I\/O, network throughput, CPU, memory, and the capacity of surviving peers. The amount of data requiring replication and the workload generated by normal ingestion and searching during recovery should also be considered. Dashboard fonts and password resets do not affect recovery duration. Understanding which resource limits recovery speed can guide capacity changes or architectural adjustments. Recovery testing should therefore measure elapsed recovery time as well as whether the required data ultimately becomes available.<\/span><\/p>\n

                    Question 330<\/b><\/h3>\n

                    A deployment has sufficient indexer storage but increasing ingestion queues on forwarders. Which investigation should occur first?<\/b><\/p>\n

                      \n
                    1. Search-head dashboard configuration<\/span><\/li>\n
                    2. Forwarder-to-indexer network connectivity and downstream throughput<\/span><\/li>\n
                    3. Password policy<\/span><\/li>\n
                    4. Bucket naming conventions<\/span><\/li>\n<\/ol>\n

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

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

                      If indexer storage is sufficient but forwarding queues are growing, the bottleneck may exist between the forwarders and their destinations rather than in storage capacity. The architect should examine network connectivity, bandwidth, latency, packet loss, connection behavior, indexer ingestion throughput, and destination availability. Forwarder resource utilization should also be reviewed to determine whether local processing is limiting throughput. Dashboard configuration and password policies are unrelated. Bucket naming does not normally explain forwarding queues. Tracing the data path from source through forwarder to indexer helps identify the actual point where throughput is being constrained.<\/span><\/p>\n

                      Question 331<\/b><\/h3>\n

                      A Search Head Cluster member has configuration differences from the rest of the cluster after a manual administrative change. What risk does this create?<\/b><\/p>\n

                        \n
                      1. Configuration drift and inconsistent search behavior<\/span><\/li>\n
                      2. Automatic storage expansion<\/span><\/li>\n
                      3. Elimination of replication traffic<\/span><\/li>\n
                      4. Guaranteed search acceleration<\/span><\/li>\n<\/ol>\n

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

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

                        Manual changes made to an individual Search Head Cluster member can create configuration drift, causing that member to behave differently from the rest of the cluster. Depending on the setting, this may affect applications, searches, knowledge objects, permissions, or other search behavior. The architect should identify the change, compare the member with its peers, and restore the intended controlled configuration state. Configuration drift does not automatically expand storage or eliminate replication traffic. It also cannot guarantee search acceleration. Controlled deployment and configuration validation are important for maintaining consistent behavior across all search-head members.<\/span><\/p>\n

                        Question 332<\/b><\/h3>\n

                        An organization wants to determine whether its network architecture has enough headroom for a future increase in ingestion and replication. Which method is appropriate?<\/b><\/p>\n

                          \n
                        1. Measure current peak utilization and model projected combined traffic<\/span><\/li>\n
                        2. Count dashboard panels<\/span><\/li>\n
                        3. Review password history<\/span><\/li>\n
                        4. Measure only average daily utilization<\/span><\/li>\n<\/ol>\n

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

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

                          Future network capacity should be based on current measured peak utilization combined with projected traffic growth. The architect should account for ingestion, replication, distributed search, management traffic, and additional recovery traffic where applicable. Average daily utilization alone can be misleading because short periods of high demand may already consume most available bandwidth. Dashboard panels and password history provide no meaningful network-capacity evidence. Modeling projected combined traffic against available bandwidth helps identify whether additional network capacity, traffic separation, or topology changes will be necessary as the Splunk deployment grows.<\/span><\/p>\n

                          Question 333<\/b><\/h3>\n

                          A planned indexer maintenance operation will temporarily reduce available peer capacity. Which condition should be confirmed before proceeding?<\/b><\/p>\n

                            \n
                          1. Remaining peers can maintain required data availability and workload<\/span><\/li>\n
                          2. All dashboards are using the same color<\/span><\/li>\n
                          3. Passwords have recently been changed<\/span><\/li>\n
                          4. Search results have identical formatting<\/span><\/li>\n<\/ol>\n

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

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

                            Before taking an indexer peer offline, the architect should confirm that the remaining peers can maintain required data availability and handle the resulting workload. This includes reviewing peer health, bucket replication and searchability, storage headroom, CPU, memory, network capacity, and expected recovery or redistribution activity. If the cluster is already under stress, maintenance may create additional risk. Dashboard colors and password changes provide no relevant readiness information. Validating the remaining cluster capacity before maintenance helps ensure that a routine operational activity does not unintentionally reduce resilience or cause significant performance degradation.<\/span><\/p>\n

                            Question 334<\/b><\/h3>\n

                            A new business requirement introduces many more concurrent users but does not significantly change ingestion. Which tier should receive particular capacity attention?<\/b><\/p>\n

                              \n
                            1. Search tier<\/span><\/li>\n
                            2. Storage retention policy only<\/span><\/li>\n
                            3. Forwarder naming configuration<\/span><\/li>\n
                            4. Data source hostname length<\/span><\/li>\n<\/ol>\n

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

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

                              A substantial increase in concurrent users primarily increases search workload rather than ingestion volume. The search tier should therefore receive particular capacity attention. The architect should evaluate concurrent searches, scheduled searches, search duration, CPU, memory, workload distribution, and peak user activity. Indexer resources may also need review because searches ultimately consume indexer resources, but the immediate change is in search demand. Forwarder naming and hostname length are irrelevant. Capacity planning should distinguish between ingestion growth and search growth because the two workloads can increase independently and place pressure on different parts of the architecture.<\/span><\/p>\n

                              Question 335<\/b><\/h3>\n

                              An architect wants to identify hidden single points of failure in a distributed Splunk topology. What should be mapped?<\/b><\/p>\n

                                \n
                              1. Component dependencies, shared infrastructure, network paths, and failure domains<\/span><\/li>\n
                              2. Dashboard colors<\/span><\/li>\n
                              3. Password reset schedules<\/span><\/li>\n
                              4. Search-result font choices<\/span><\/li>\n<\/ol>\n

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

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

                                Hidden single points of failure often exist outside the primary Splunk components. The architect should map component dependencies, shared infrastructure, network paths, storage dependencies, management relationships, and physical or logical failure domains. This can reveal situations where several supposedly redundant components depend on one network device, storage system, or other shared service. Dashboard colors and password schedules do not help identify infrastructure dependencies. A complete topology map should show how data and control traffic move through the environment and what happens when each critical dependency becomes unavailable. This supports more realistic resilience planning.<\/span><\/p>\n

                                Question 336<\/b><\/h3>\n

                                A high replication workload is causing network contention between sites. Which architectural response should be evaluated?<\/b><\/p>\n

                                  \n
                                1. Ignore recovery traffic<\/span><\/li>\n
                                2. Assess inter-site bandwidth, traffic patterns, and replication requirements<\/span><\/li>\n
                                3. Remove all searchable copies<\/span><\/li>\n
                                4. Increase dashboard refresh rates<\/span><\/li>\n<\/ol>\n

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

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

                                  High replication traffic between sites can compete with ingestion and distributed search traffic, particularly when inter-site links have limited bandwidth. The architect should assess actual replication requirements, network utilization, latency, peak traffic patterns, and the amount of headroom available for recovery. Depending on the findings, additional bandwidth, traffic separation, topology changes, or workload adjustments may be considered. Ignoring replication traffic would produce an incomplete capacity model. Removing searchable copies could undermine availability, while increasing dashboard refresh rates would add workload rather than solve the underlying network constraint. Network planning should account for both steady-state and failure-state traffic.<\/span><\/p>\n

                                  Question 337<\/b><\/h3>\n

                                  A Search Head Cluster application update causes one member to behave differently from its peers. Which diagnostic comparison is most useful?<\/b><\/p>\n

                                    \n
                                  1. Compare application and configuration state across all members<\/span><\/li>\n
                                  2. Compare password expiration dates<\/span><\/li>\n
                                  3. Compare dashboard background colors<\/span><\/li>\n
                                  4. Compare frozen bucket names<\/span><\/li>\n<\/ol>\n

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

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

                                    When one Search Head Cluster member behaves differently after an application update, the first diagnostic comparison should focus on application and configuration state across the members. The architect should verify package versions, relevant configuration files, application deployment state, dependencies, and effective settings. Resource and workload differences should also be considered if configuration is identical. Password expiration, dashboard appearance, and bucket names do not explain application-state differences on search heads. Comparing members helps identify configuration drift or incomplete deployment and provides evidence for correcting the affected member through the appropriate controlled deployment process.<\/span><\/p>\n

                                    Question 338<\/b><\/h3>\n

                                    An indexer cluster is designed to survive a peer failure without losing required searchable data. Which test most directly validates this objective?<\/b><\/p>\n

                                      \n
                                    1. Change dashboard colors<\/span><\/li>\n
                                    2. Simulate peer loss and verify searchable data and recovery behavior<\/span><\/li>\n
                                    3. Reset user passwords<\/span><\/li>\n
                                    4. Rename the affected index<\/span><\/li>\n<\/ol>\n

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

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

                                      A controlled peer-loss test directly validates whether the architecture can preserve required searchable data when an indexer becomes unavailable. The architect should observe data availability, search behavior, bucket recovery, replication activity, workload redistribution, and resource utilization on surviving peers. The test should also verify that the recovery process behaves within expected operational limits. Dashboard changes, password resets, and index renaming do not test resilience. Failure simulation is valuable because configuration alone cannot always reveal whether actual bucket placement and surviving capacity satisfy the intended resilience requirements.<\/span><\/p>\n

                                      Question 339<\/b><\/h3>\n

                                      A data onboarding design introduces index-time transformations. What should the architect verify before applying them broadly?<\/b><\/p>\n

                                        \n
                                      1. Expected processing behavior, resource impact, and consistency across relevant ingestion paths<\/span><\/li>\n
                                      2. Dashboard refresh frequency<\/span><\/li>\n
                                      3. Password history<\/span><\/li>\n
                                      4. Search result colors<\/span><\/li>\n<\/ol>\n

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

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

                                        Index-time transformations can affect how incoming data is processed, routed, or stored, so they should be validated before broad deployment. The architect should confirm the expected transformation behavior, processing location, CPU and memory impact, throughput requirements, and consistency across equivalent ingestion paths. Incorrect or inconsistent transformations can produce unexpected indexed data and increase troubleshooting complexity. Dashboard refresh frequency and password history are unrelated to transformation behavior. Testing representative data and monitoring processing performance helps determine whether the design produces the intended indexed results without creating an ingestion bottleneck.<\/span><\/p>\n

                                        Question 340<\/b><\/h3>\n

                                        An architect is comparing two proposed distributed Splunk topologies. Which comparison provides the most useful architectural evidence?<\/b><\/p>\n

                                          \n
                                        1. Dashboard appearance and user interface preferences<\/span><\/li>\n
                                        2. Password policy differences<\/span><\/li>\n
                                        3. Workload flow, capacity, dependencies, resilience, and failure behavior<\/span><\/li>\n
                                        4. Number of application icons<\/span><\/li>\n<\/ol>\n

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

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

                                          Comparing distributed Splunk topologies requires an end-to-end assessment of how each design handles workload, dependencies, capacity, resilience, and failure conditions. The architect should examine ingestion paths, processing locations, indexer capacity, search-head workload, network traffic, storage requirements, replication behavior, recovery activity, and failure domains. A topology that performs well during normal operation may still have weaknesses during peak demand or component failure. Dashboard appearance and password policies do not provide meaningful architectural evidence. Evaluating both steady-state and failure-state behavior gives a more complete basis for validating whether a proposed topology meets operational requirements.<\/span><\/p>\n

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

                                          View Full Splunk SPLK-2002 Exam Dumps and Practice Test Dumps.   Question 321 An architect is planning additional indexer capacity for a rapidly growing environment. Which factor should be incorporated into the sizing model beyond current ingest volume? Dashboard color schemes Future growth, peak workload, retention, and resilience overhead Number of user profile images Password […]<\/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\/24360"}],"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=24360"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/24360\/revisions"}],"predecessor-version":[{"id":24361,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/24360\/revisions\/24361"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=24360"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=24360"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=24360"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}