View Full Splunk SPLK-2002 Exam Dumps and Practice Test Dumps.

 

Question 281

An architect notices that replicated buckets are frequently being repaired after temporary peer disruptions. What should be examined to determine whether the cluster has adequate resilience?

1. Dashboard refresh intervals
2. Current replication and searchability requirements compared with peer capacity
3. Number of saved searches
4. User interface settings

Correct Answer: 2

Explanation

Frequent bucket repair activity can indicate that peers are repeatedly becoming unavailable or that the cluster has limited capacity to maintain required copies. The architect should review replication and searchability requirements, peer health, bucket distribution, storage capacity, network performance, and the resources available for recovery operations. Temporary disruptions may be acceptable, but repeated recovery activity can consume significant resources and create additional workload. Dashboard settings and interface options do not explain bucket repair behavior. Comparing configured resilience requirements with actual peer capacity helps determine whether the architecture can consistently maintain required data availability during disruptions.

Question 282

A Search Head Cluster administrator needs to introduce an application update without creating inconsistent application states across members. Which approach is appropriate?

1. Modify each member independently
2. Restart only the captain
3. Use the SHC application deployment mechanism and validate the package
4. Remove the application from all members

Correct Answer: 3

Explanation

Applications intended for a Search Head Cluster should be managed through the cluster’s appropriate application deployment workflow rather than by independently modifying individual members. The package should be reviewed and validated before deployment, including its configuration, dependencies, permissions, and expected behavior. Controlled distribution helps maintain consistency among members and reduces configuration drift. Independently changing members can create different application states that are difficult to troubleshoot. Restarting only the captain or removing the application does not address the requirement for consistent application deployment across the Search Head Cluster.

Question 283

A Splunk deployment experiences ingestion delays only when network utilization reaches its daily peak. Which architectural relationship should be investigated first?

1. Network contention between ingestion and other distributed traffic
2. Search dashboard colors
3. Password policy settings
4. Frozen bucket naming

Correct Answer: 1

Explanation

If ingestion delays consistently occur during network peaks, the architect should investigate whether ingestion traffic competes with replication, distributed search, recovery, management, or other network workloads. Available bandwidth, interface utilization, latency, packet loss, and traffic patterns should be reviewed across relevant paths. Network contention can cause forwarding queues to grow even when individual Splunk components have sufficient CPU and storage capacity. Dashboard colors and password settings are unrelated to ingestion throughput. Identifying the specific congested network path helps determine whether traffic separation, additional bandwidth, topology changes, or workload adjustments are necessary.

Question 284

An indexer cluster is approaching its storage limit sooner than projected. Which calculation should be revisited?

1. Search-head captain elections
2. Application deployment frequency
3. User authentication volume
4. Effective storage consumption including retention and replication

Correct Answer: 4

Explanation

When storage is consumed faster than projected, the architect should revisit the assumptions used to calculate effective storage consumption. This includes actual ingest volume, retention duration, replication requirements, bucket growth, and available storage capacity. A model based only on raw daily ingest may significantly underestimate the space required by replicated data and longer-than-planned retention. Comparing the original assumptions with current measurements can identify the cause of the discrepancy. Captain elections, application deployment frequency, and authentication activity do not materially determine indexer storage consumption and should not be the primary focus of this capacity review.

Question 285

A Search Head Cluster has sufficient CPU but users report slower searches during business hours. Which additional evidence is most useful?

1. Search concurrency, duration, and storage or network latency
2. Number of application icons
3. Password expiration dates
4. Dashboard background settings

Correct Answer: 1

Explanation

High CPU utilization is only one possible indicator of search performance problems. If CPU remains within acceptable limits, the architect should examine concurrent search volume, search duration, storage latency, network performance, scheduled searches, and workload distribution. A search can become slower because of storage or network constraints even when CPU utilization appears normal. Business-hour patterns can also reveal workload concentration that is hidden by daily averages. Application icons, password expiration, and dashboard background settings do not provide meaningful performance evidence. Correlating user complaints with workload and infrastructure metrics helps identify the actual bottleneck.

Question 286

An organization is designing a new indexer cluster and expects a substantial increase in event volume over the next year. What should capacity planning include?

1. Only current storage usage
2. Current workload, projected growth, peak demand, and resilience overhead
3. Only the number of users
4. Only the number of dashboards

Correct Answer: 2

Explanation

Capacity planning for a growing indexer cluster should account for more than the current workload. The architect should model present ingest rates, projected growth, peak event volume, retention requirements, replication overhead, search activity, and additional resource consumption during recovery. Failure scenarios should also be considered because the surviving peers may need to handle redistributed workloads. Planning only for current storage or user counts can leave insufficient headroom as the environment grows. A forward-looking model allows infrastructure resources to be sized for expected demand while preserving sufficient capacity for resilience and operational events.

Question 287

A peer is scheduled for maintenance while the cluster is processing heavy ingestion. Which factor should influence the maintenance timing?

1. Dashboard ownership
2. Current cluster health and available recovery capacity
3. Number of user accounts
4. Search result formatting

Correct Answer: 2

Explanation

Maintenance timing should consider the cluster’s current health and the resources available to maintain data resilience while one peer is unavailable. Heavy ingestion can increase the amount of data being processed and replicated, leaving less capacity for recovery or redistribution. The architect should review peer status, bucket replication, storage headroom, network capacity, and workload levels before beginning maintenance. Choosing a period with adequate capacity reduces the risk of prolonged recovery activity or performance degradation. Dashboard ownership, account counts, and result formatting do not provide useful information for determining maintenance readiness.

Question 288

A high-volume data source requires routing and transformation before indexing. Which design question is most important?

1. Whether the selected processing tier has sufficient capacity for the additional workload
2. Whether dashboards use custom colors
3. Whether users have short passwords
4. Whether search results use a particular font

Correct Answer: 1

Explanation

Routing and transformation add processing requirements before data reaches the indexing tier. The architect should determine whether the selected processing tier has enough CPU, memory, network throughput, and queue capacity to handle the source at expected peak rates. The complexity of transformations and the number of destinations should also be included in the workload model. Insufficient processing capacity can create queues and ingestion delays before indexers even become involved. Dashboard colors, password length, and search-result fonts have no meaningful relationship to preprocessing throughput and should not influence this architectural decision.

Question 289

An architect wants to determine whether a new indexer peer can be added without creating a resource imbalance. Which information should be reviewed?

1. Current peer utilization, bucket distribution, and expected redistribution workload
2. Search-head dashboard count
3. User password age
4. Number of application icons

Correct Answer: 1

Explanation

Adding an indexer peer can change bucket distribution and generate additional cluster activity as data is redistributed. Before expansion, the architect should review current peer utilization, storage availability, indexing rates, network capacity, bucket distribution, and the expected workload during redistribution. The new peer should provide useful capacity without creating an unexpected bottleneck elsewhere. Dashboard counts, password age, and application icons do not indicate whether the indexer cluster can absorb a topology change. Reviewing current and projected resource utilization helps determine whether the expansion will improve capacity as intended.

Question 290

A Search Head Cluster member shows significantly higher search duration than its peers despite receiving similar user activity. What should be compared?

1. Dashboard names only
2. Application and configuration state along with workload and resource metrics
3. Password expiration policies
4. Index naming conventions only

Correct Answer: 2

Explanation

A single Search Head Cluster member behaving differently from its peers should be investigated by comparing both configuration state and workload/resource metrics. The architect should determine whether the member has the same applications, knowledge objects, configuration, search workload, CPU, memory, and network conditions as other members. Configuration drift or uneven workload distribution can produce different search behavior even when overall user activity appears similar. Dashboard names and password policies are not useful indicators. A peer comparison helps isolate whether the issue originates from configuration differences, resource contention, or another member-specific condition.

Question 291

An organization requires continued search availability when one search head becomes unavailable. Which architectural capability directly supports this requirement?

1. Independent dashboards
2. Search Head Cluster member redundancy
3. Larger index names
4. Longer data retention

Correct Answer: 2

Explanation

Search Head Cluster member redundancy allows search workloads to continue when an individual search head becomes unavailable, provided the remaining members have sufficient capacity and the cluster remains healthy. The architecture should also account for application consistency, knowledge-object replication, cluster coordination, and workload redistribution. Simply having independent dashboards does not provide search-head resilience. Longer retention increases storage requirements rather than search-head availability. The architect should therefore validate not only redundancy but also the capacity of surviving members to handle the workload created by the failed component.

Question 292

A deployment has separate network paths for ingestion and distributed searches. What architectural benefit does this separation provide?

1. It eliminates the need for index replication
2. It can reduce contention between major traffic types
3. It prevents all storage failures
4. It removes search concurrency limits

Correct Answer: 2

Explanation

Separating major traffic types across appropriate network paths can reduce contention between ingestion and distributed-search communication. This can make network behavior more predictable when one workload experiences a temporary increase. However, network separation does not eliminate replication requirements, storage failures, or search concurrency limits. The architect should still evaluate bandwidth, latency, redundancy, and failure behavior for each path. The goal is to prevent unrelated traffic from competing for the same constrained network resources. Proper traffic planning becomes particularly important in large distributed deployments with high ingestion and search activity.

Question 293

A site-aware indexer architecture must preserve searchable data after losing one site. Which design element should be validated?

1. Placement of searchable copies across the relevant sites
2. Dashboard refresh intervals
3. User password history
4. Search result colors

Correct Answer: 1

Explanation

Site-level resilience requires the architecture to place sufficient searchable copies outside a potential single-site failure domain. The architect should verify site-aware replication and searchability requirements, confirm that the intended copies are actually distributed as designed, and evaluate the capacity of surviving sites. Simply having replicated data somewhere in the cluster does not guarantee that searches can continue if all searchable copies are located at the failed site. Dashboard refresh intervals, password history, and search result colors do not affect data availability. Validation should include both planned topology and representative site-failure scenarios.

Question 294

An architect observes that recovery operations consume significant network bandwidth and slow normal ingestion. What should be considered?

1. Disabling all replication permanently
2. Increasing dashboard refresh frequency
3. Recovery traffic requirements and available network headroom
4. Changing search result formatting

Correct Answer: 3

Explanation

Recovery operations can generate substantial replication traffic as the cluster restores required data copies after peer failures. If this traffic competes with ingestion, the architect should evaluate available bandwidth, traffic patterns, inter-site links, and the amount of headroom reserved for failure-state activity. The design may require additional capacity or changes to network topology and workload distribution. Permanently disabling replication would undermine data resilience and is not an appropriate general solution. Dashboard refresh rates and search formatting do not address network contention. Capacity planning should explicitly model both normal and recovery traffic.

Question 295

A new ingestion source produces unexpectedly large event sizes. Which architectural effect should be assessed?

1. Dashboard permissions
2. Parsing, network, indexing, and storage workload changes
3. Search-head colors
4. Password complexity

Correct Answer: 2

Explanation

Larger event sizes can affect multiple stages of a Splunk data pipeline. The architect should evaluate parsing and processing requirements, network throughput, indexing workload, storage consumption, and search behavior. Larger events may change the amount of data transmitted and indexed even if the event count remains similar. Capacity models based solely on event counts may therefore become inaccurate. Dashboard permissions, search-head colors, and password complexity do not materially affect the resource impact of larger events. The source should be measured under representative conditions so the architecture can be adjusted using actual data-volume characteristics.

Question 296

A Search Head Cluster member is repeatedly unavailable during application deployments. Which architectural area should be investigated?

1. Application package, deployment process, and member resource impact
2. Frozen bucket naming
3. Password expiration
4. Dashboard font settings

Correct Answer: 1

Explanation

Repeated member unavailability during application deployments suggests that the application package or deployment process may be imposing excessive resource or configuration impact. The architect should review package contents, dependencies, configuration changes, deployment sequencing, resource consumption, and cluster health before and after deployment. Testing the package in a controlled environment can help identify problematic behavior before production rollout. Frozen bucket naming and dashboard fonts are unrelated. Password expiration also does not normally explain application deployment failures. A controlled deployment process with validation and rollback procedures reduces the operational risk of cluster-wide application changes.

Question 297

An indexer cluster has adequate storage but insufficient performance during large concurrent searches. Which resource should be examined beyond capacity alone?

1. Storage I/O performance and latency
2. User profile pictures
3. Dashboard colors
4. Password history

Correct Answer: 1

Explanation

Storage capacity and storage performance are separate architectural considerations. An indexer can have substantial free disk space while still experiencing slow searches because the storage subsystem cannot provide sufficient I/O throughput or latency under concurrent workloads. The architect should examine disk latency, I/O throughput, queue depth, utilization, and search duration during representative workloads. Correlating these metrics can help determine whether storage performance is limiting search execution. User profile information, dashboard colors, and password history do not affect storage I/O performance and should not be used to diagnose this type of bottleneck.

Question 298

A deployment uses a heavy forwarder for complex event processing. What should determine whether additional heavy forwarders are required?

1. Number of dashboard panels
2. Processing workload, throughput, resource utilization, and expected growth
3. Number of password resets
4. Search result formatting

Correct Answer: 2

Explanation

The decision to add heavy forwarders should be based on measured and projected processing workload rather than unrelated administrative metrics. The architect should evaluate incoming data rates, transformation complexity, CPU and memory utilization, network throughput, queue behavior, processing latency, and expected growth. Peak workload is particularly important because average rates can conceal periods when the forwarding tier becomes saturated. If the current tier cannot maintain required throughput with sufficient headroom, workload distribution or additional processing capacity may be necessary. Dashboard panels, password resets, and search formatting provide no meaningful capacity evidence for this decision.

Question 299

During disaster-recovery testing, the surviving Splunk environment remains available but cannot handle normal search demand. What does this reveal?

1. Availability and capacity requirements both need to be validated
2. Search heads never require redundancy
3. Replication is unnecessary
4. Dashboard configuration is the primary issue

Correct Answer: 1

Explanation

A disaster-recovery test that preserves service availability but fails to support normal search demand demonstrates that resilience cannot be measured only by whether systems remain online. The architect must also validate the capacity of surviving components to handle redistributed indexing, searching, recovery, and user workloads. CPU, memory, storage, network capacity, search concurrency, and workload distribution should be evaluated during failure conditions. This distinction is important because an environment can technically remain operational while delivering unacceptable performance. Replication and redundancy remain important, while dashboard configuration is not the primary capacity concern.

Question 300

A large Splunk deployment is being redesigned to support future growth. Which architectural practice best supports a sustainable design?

1. Size every component only for today’s average workload
2. Ignore recovery scenarios until a failure occurs
3. Base decisions on workload trends, dependencies, peak demand, resilience, and measurable capacity
4. Focus primarily on dashboard customization

Correct Answer: 3

Explanation

A sustainable Splunk architecture should be based on measurable workload characteristics and realistic future requirements. The architect should consider current and projected ingest, search concurrency, peak demand, storage growth, network traffic, component dependencies, failure scenarios, replication and recovery overhead, and available resource headroom. Designing only for today’s average workload can leave the environment vulnerable to growth and operational events. Recovery conditions should be included during planning rather than addressed after a failure. Dashboard customization has little influence on core architecture. Evidence-based capacity planning creates a more predictable foundation for future expansion and resilience.