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

 

Question 101

A Search Head Cluster member is unavailable during a maintenance window. What should the architect verify before proceeding with additional member restarts?

1. The number of frozen buckets
2. The license pool name
3. The remaining healthy SHC members and cluster status
4. The number of dashboard panels

Correct Answer: 3

Explanation

Before restarting additional Search Head Cluster members, the architect should verify that the remaining members are healthy and that the cluster continues operating normally. Restarting too many members at once can reduce cluster availability or interfere with coordination activities. The architect should review member status, captain state, active workloads, and any maintenance-related conditions before continuing. Frozen buckets and dashboard panels do not determine SHC availability, while license pool naming is unrelated to member restart safety. A controlled maintenance process preserves the search tier’s resilience while allowing administrators to perform necessary upgrades or infrastructure work.

Question 102

A Search Head Cluster loses its current captain. What should the architect expect from a healthy cluster?

1. An eligible member can participate in captain election
2. All indexers immediately stop indexing
3. Every knowledge object is permanently deleted
4. The entire cluster must be rebuilt

Correct Answer: 1

Explanation

The Search Head Cluster uses an election process to establish a new captain when the current captain becomes unavailable. A healthy cluster with eligible participating members can continue operating while leadership is re-established. The captain’s role is important for coordinating certain cluster-wide activities, but losing the captain does not inherently require rebuilding the cluster or stopping all indexing operations. Knowledge objects are not automatically deleted because of a captain failure. Architects should design for captain loss and monitor cluster health so that leadership changes do not become unnecessary service disruptions.

Question 103

An architect needs to reduce the operational impact of planned SHC maintenance. Which strategy is appropriate?

1. Restart all members simultaneously
2. Use controlled rolling maintenance
3. Delete scheduled searches permanently
4. Remove the captain before every restart

Correct Answer: 2

Explanation

Controlled rolling maintenance allows individual Search Head Cluster members to be serviced while other members remain available. This approach can preserve search functionality and reduce the impact on users when upgrades, patches, or infrastructure changes are required. The architect should verify cluster health between maintenance steps and account for active searches and other workloads. Restarting every member simultaneously creates an avoidable outage. Permanently deleting scheduled searches is not a general maintenance strategy, and manually removing the captain before each restart is unnecessary when supported cluster procedures are followed.

Question 104

Why should an architect consider KV Store behavior when sizing a Search Head Cluster?

1. Applications may depend on KV Store availability and resources
2. KV Store stores all indexer buckets
3. KV Store replaces distributed search
4. KV Store eliminates search-head clustering

Correct Answer: 1

Explanation

Applications running on search heads may rely on KV Store for structured application data, making its availability and behavior an important architectural consideration. The architect should understand application dependencies, replication, resource requirements, and recovery behavior when designing an SHC. KV Store does not store the primary indexed event data held by indexers, replace distributed search, or eliminate the need for search-head clustering. If applications depend heavily on KV Store, the architect should include those dependencies in capacity planning and maintenance procedures so that cluster changes do not unexpectedly affect application functionality.

Question 105

An indexer cluster has reached its planned storage capacity, but ingest volume is expected to continue growing. What should the architect evaluate?

1. Dashboard ownership
2. Additional indexer capacity and retention requirements
3. User password length
4. Search-head captain frequency

Correct Answer: 2

Explanation

When storage capacity is approaching its limit while ingest continues to grow, the architect should evaluate additional indexer capacity together with retention requirements. Increasing peer capacity may provide more storage and processing resources, but the design should also confirm whether retention policies remain appropriate for business requirements. Replication increases physical storage requirements, so the effective capacity must account for the number of maintained copies. Dashboard ownership and authentication settings do not resolve an indexer storage constraint. Capacity planning should consider current utilization, projected ingest growth, retention, replication, and expected search workloads.

Question 106

Which metric is particularly useful when assessing whether indexer storage can support increasing ingest rates?

1. Disk utilization and I/O latency
2. Number of user roles
3. Dashboard refresh color
4. Search-head captain changes

Correct Answer: 1

Explanation

Disk utilization and I/O latency provide important evidence about whether an indexer’s storage subsystem can handle increasing ingest rates. High utilization can indicate insufficient capacity, while elevated latency can indicate that the storage system cannot process read or write operations efficiently enough for the workload. Architects should also examine throughput, IOPS, queue depth, bucket activity, and growth trends. User roles and dashboard characteristics do not measure storage performance. Captain changes belong to the search tier and should not be used as a direct indicator of indexer storage capacity.

Question 107

An architect wants to determine whether an indexer cluster can tolerate losing one peer without violating its intended data-protection design. Which information is essential?

1. Search dashboard count
2. Current bucket distribution and replication requirements
3. User authentication method
4. Number of saved searches

Correct Answer: 2

Explanation

To determine whether an indexer cluster can tolerate peer loss, the architect needs to understand current bucket distribution and the configured replication requirements. The analysis should establish how many copies exist, where those copies are located, and whether sufficient remaining peers and storage capacity are available to maintain the desired resilience. Search dashboards, authentication methods, and saved-search counts do not directly determine data-protection capability. The architect should also consider failure domains and current cluster health because a design that appears resilient on paper may have reduced protection if peers are already unavailable or under maintenance.

Question 108

What can happen when an indexer peer becomes unavailable and the cluster begins restoring missing bucket copies?

1. Replication activity can increase resource consumption
2. Search heads automatically become indexers
3. License limits disappear
4. User roles are removed

Correct Answer: 1

Explanation

When an indexer peer fails, the cluster may need to perform fix-up activity to restore the configured replication level. This can generate additional network, disk, and processing activity because bucket copies may need to be created on surviving peers. Architects should ensure that the cluster has enough spare capacity to handle recovery without causing unacceptable performance degradation. Search heads do not become indexers automatically, licensing remains a separate concern, and user roles are not removed by replication recovery. Capacity planning should therefore include both normal operations and temporary recovery workloads following failures.

Question 109

A multi-site indexer cluster must maintain searchable data after losing one complete site. Which design element should receive special attention?

1. Cross-site searchable-copy placement
2. Dashboard formatting
3. User role naming
4. Password expiration intervals

Correct Answer: 1

Explanation

Cross-site searchable-copy placement is critical when a cluster must continue serving searches after an entire site becomes unavailable. The architect should ensure that sufficient searchable copies are intentionally distributed outside the affected failure domain. This requires careful consideration of search factor, site-aware configuration, available peer capacity, and network connectivity. Merely having multiple copies somewhere in the cluster does not necessarily guarantee that a surviving site has searchable data. Dashboard formatting and authentication settings do not provide site-level resilience. The architecture should be tested against realistic complete-site failure scenarios.

Question 110

What is a key trade-off when increasing search factor in an indexer cluster?

1. More searchable copies can improve availability but consume additional resources
2. More searchable copies eliminate all replication traffic
3. Search factor reduces required storage
4. Search factor removes the need for search heads

Correct Answer: 1

Explanation

Increasing search factor can improve search availability because more bucket copies remain searchable when individual peers become unavailable. However, maintaining additional searchable copies requires resources and must be considered alongside the replication factor, storage capacity, disk I/O, and network traffic. Search factor does not reduce storage requirements, eliminate replication traffic, or replace search heads. Architects should select values based on resilience objectives, failure scenarios, capacity, and workload requirements. A higher search factor can provide additional availability, but it should be supported by infrastructure capable of maintaining those searchable copies effectively.

Question 111

An architect is comparing two indexer cluster designs with identical ingest rates but different replication factors. What resource difference should be expected?

1. Lower replication always requires more storage
2. Higher replication generally requires more storage and replication traffic
3. Replication factor affects only user authentication
4. Replication has no infrastructure impact

Correct Answer: 2

Explanation

A higher replication factor means that more copies of indexed data are maintained across indexer peers. As a result, the cluster generally requires additional physical storage and more network traffic for creating and maintaining those copies. The impact can also extend to disk I/O and recovery workload after peer failures. Replication is therefore an important input to infrastructure sizing even when the raw ingest rate is unchanged. It does not control user authentication and cannot be treated as having no infrastructure consequences. Architects should model replication overhead when comparing alternative cluster designs.

Question 112

A new indexer peer has been added, but the architect wants to confirm that it is participating correctly before relying on it for production resilience. What should be checked?

1. Cluster membership and peer health
2. Dashboard color settings
3. User profile images
4. Search result formatting

Correct Answer: 1

Explanation

After adding an indexer peer, the architect should verify that the peer has correctly joined the intended cluster and is healthy. Relevant checks include cluster membership, peer status, configuration consistency, connectivity, available resources, and whether expected bucket or workload activity is occurring. This validation confirms that the additional capacity actually contributes to the architecture rather than introducing a partially configured component. Dashboard appearance, user profiles, and search-result formatting do not establish indexer participation. Verification should be completed before depending on the new peer for capacity, resilience, or recovery requirements.

Question 113

Which factor can limit the usefulness of adding more indexers to a deployment?

1. A saturated shared network or storage dependency
2. Dashboard naming conventions
3. User interface language
4. Search result capitalization

Correct Answer: 1

Explanation

Adding indexers does not automatically solve every performance problem. If the deployment depends on a saturated shared network, storage system, or another common infrastructure component, that dependency can remain the bottleneck even after more indexer peers are added. Architects should therefore identify the limiting resource before expanding the cluster. Additional indexers are most effective when the workload can actually be distributed across the new capacity and supporting infrastructure can handle the increased traffic. User interface settings and search-result formatting do not normally constrain the physical scalability of the indexing tier.

Question 114

A forwarding architecture uses multiple indexers, but one indexer consistently receives a disproportionate amount of traffic. What should be investigated?

1. Forwarder load-balancing behavior and connection configuration
2. Search-head knowledge objects
3. Dashboard permissions
4. KV Store collection names

Correct Answer: 1

Explanation

Uneven ingestion across indexers can indicate an issue with forwarder load-balancing behavior, connection configuration, destination availability, or network conditions. The architect should examine how forwarding connections are selected, whether all intended indexers are available, and whether connection settings are causing traffic to remain concentrated on one destination. The investigation should also consider indexer capacity and failure conditions. Search-head knowledge objects, dashboard permissions, and KV Store collection names do not normally control ingestion distribution. Correctly designed forwarding helps spread workload while maintaining reliable delivery to the indexing tier.

Question 115

An architect is designing a critical ingestion path and wants stronger delivery assurance between a forwarder and indexer. Which feature should be considered?

1. Indexer acknowledgment
2. Dashboard scheduling
3. Search-head captain election
4. Bucket naming

Correct Answer: 1

Explanation

Indexer acknowledgment can provide stronger delivery assurance by allowing a forwarder to receive confirmation that downstream indexing has acknowledged data. This is useful for critical ingestion paths where simply sending data over a network connection is not considered sufficient assurance. Architects should understand how acknowledgment interacts with queues, network failures, indexer availability, and throughput. It does not guarantee that every failure or duplicate is impossible, and it does not replace replication. Dashboard scheduling, captain election, and bucket naming belong to different architectural areas and do not provide the same ingestion-delivery mechanism.

Question 116

Why should an architect evaluate queue behavior when designing a high-volume forwarding tier?

1. Queues can absorb temporary processing or destination slowdowns
2. Queues eliminate the need for indexers
3. Queues guarantee unlimited storage
4. Queues prevent every possible duplicate

Correct Answer: 1

Explanation

Forwarding queues can provide temporary buffering when processing or downstream delivery cannot immediately keep pace with incoming data. This can help absorb short-lived bursts or destination slowdowns and reduce the immediate risk of data loss during transient conditions. However, queues have finite capacity and should not be treated as a permanent substitute for adequate indexing resources. Architects should consider queue size, ingest rate, destination performance, disk or memory implications, and expected outage duration. Queues also do not guarantee unlimited storage or automatically prevent every duplicate event in the ingestion pipeline.

Question 117

A Splunk environment has inconsistent behavior between search heads after an application update. What should the architect investigate first?

1. Whether the application configuration is consistent across SHC members
2. Whether index retention is identical everywhere
3. Whether all forwarders use UDP
4. Whether frozen buckets were renamed

Correct Answer: 1

Explanation

If search heads behave differently after an application update, configuration consistency across Search Head Cluster members should be investigated first. The architect should determine whether the updated application was distributed through the appropriate SHC process and whether all members received the expected configuration. Configuration drift can lead to differences in searches, knowledge objects, application behavior, and other functionality. Index retention and forwarding protocol choices are separate concerns, while bucket naming does not explain differences between search-head application states. Comparing member configurations and cluster status can help identify the source of the inconsistency.

Question 118

Which planning approach best supports future Splunk Enterprise architecture growth?

1. Size only for today’s average workload
2. Include projected growth, peak workload, and failure scenarios
3. Ignore storage retention
4. Avoid documenting dependencies

Correct Answer: 2

Explanation

A scalable Splunk Enterprise architecture should account for more than current average usage. Architects should model projected ingest growth, peak search and indexing workloads, retention requirements, replication overhead, network capacity, and expected failure scenarios. Designing only for today’s average workload can leave the environment unable to handle growth or temporary recovery demands. Retention cannot be ignored because it directly influences storage requirements, while undocumented dependencies make future troubleshooting and expansion more difficult. Capacity planning should therefore include measurable assumptions, growth margins, resilience objectives, and dependencies across the complete distributed architecture.

Question 119

An architect needs to troubleshoot whether a performance problem originates in indexing or searching. Which approach is most useful?

1. Compare workload-specific metrics across the affected tiers
2. Change all configurations simultaneously
3. Restart every component immediately
4. Delete historical data first

Correct Answer: 1

Explanation

Separating indexing and searching workloads allows the architect to identify which tier or resource is actually constrained. Relevant metrics can include CPU, memory, disk I/O, network activity, indexing throughput, search concurrency, search duration, and scheduled workload behavior. Comparing these measurements across the affected components provides evidence for identifying the bottleneck. Changing all configurations simultaneously or restarting every component can destroy useful diagnostic information and introduce additional variables. Deleting historical data is also an unnecessarily disruptive response. Effective troubleshooting isolates the affected layer before applying targeted remediation.

Question 120

A production Splunk architecture must support both normal operations and recovery after component failure. What should capacity planning include?

1. Only average daily ingest
2. Only dashboard activity
3. Normal workload plus recovery and replication overhead
4. Only authentication traffic

Correct Answer: 3

Explanation

Resilient capacity planning must account for normal production workload as well as additional activity generated during failures and recovery. When an indexer peer becomes unavailable, replication and fix-up operations can consume storage, network, disk, and processing resources on surviving peers. Search workloads may also shift when components are unavailable. Therefore, sizing only for average ingest can leave insufficient headroom during recovery. Architects should model peak ingestion, search concurrency, replication, recovery activity, retention, and infrastructure dependencies so the environment can maintain acceptable service while restoring resilience after failures.