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

 

Question 201

A Splunk Enterprise deployment has several geographically separated indexer sites. During architecture validation, which factor is most important when assessing site-to-site replication?

1. Dashboard layout
2. Inter-site bandwidth and latency
3. User interface theme
4. Number of saved searches

Correct Answer: 2

Explanation

Inter-site replication depends heavily on network bandwidth and latency because replicated bucket data must move between sites according to the cluster’s configured requirements. The architect should determine whether the available network can handle normal replication, recovery traffic, and other distributed Splunk communication without causing unacceptable contention. Latency can also affect how quickly operations complete across sites. Dashboard layout and interface themes have no meaningful effect on replication capacity. Saved searches may influence search workload, but they are not the primary factor when specifically evaluating the network requirements for cross-site replication.

Question 202

An architect is reviewing an indexer cluster before planned maintenance. Which information provides the clearest picture of whether the cluster can tolerate the event?

1. Current peer health and bucket replication status
2. Number of dashboard panels
3. Search-head application names
4. User password expiration dates

Correct Answer: 1

Explanation

Current peer health and bucket replication status provide important evidence about whether an indexer cluster can tolerate planned maintenance. The architect should verify that enough peers remain healthy and that required data copies are available before removing a peer from service. Current storage, indexing load, and recovery activity should also be considered because maintenance can place additional pressure on surviving peers. Dashboard panels, application names, and password expiration dates do not indicate cluster resilience. Reviewing actual cluster state before maintenance reduces the possibility of creating unnecessary data availability or performance problems.

Question 203

A Search Head Cluster is experiencing inconsistent knowledge-object behavior between members. Which area should the architect investigate?

1. Frozen bucket retention
2. Forwarder queue size
3. SHC replication and application configuration
4. Indexer disk formatting

Correct Answer: 3

Explanation

Inconsistent knowledge-object behavior across Search Head Cluster members can indicate a problem with SHC replication, application configuration, or deployment procedures. The architect should determine whether the affected objects are expected to be replicated and whether the relevant application configuration is consistently deployed across members. Cluster health and member communication should also be reviewed. Frozen bucket retention and indexer disk formatting are separate indexing concerns, while forwarder queues relate to ingestion. Investigating the search-head configuration and replication path helps identify why members are producing different behavior for users accessing the cluster.

Question 204

A large organization wants to separate ingestion processing from indexing to reduce unnecessary work on indexers. Which design approach supports this objective?

1. Move all searches to forwarders
2. Disable indexer clustering
3. Remove load balancing
4. Place appropriate preprocessing on a dedicated forwarding tier

Correct Answer: 4

Explanation

A dedicated forwarding tier can perform appropriate preprocessing, routing, or transformation before data reaches the indexers. This can help separate certain ingestion responsibilities from the indexing tier and preserve indexer resources for indexing and search-related workloads. The architect must carefully determine which processing is appropriate for the forwarding layer and ensure that the added tier has sufficient CPU, memory, network, and configuration-management capacity. Disabling clustering or removing load balancing would weaken the architecture rather than improve separation. Searches also remain the responsibility of the search tier rather than forwarders.

Question 205

A cluster manager administrator prepares a configuration bundle containing changes for indexer peers. What is a key consideration before applying the bundle?

1. Validate the bundle and its expected cluster impact
2. Delete all existing indexes
3. Disable every search head
4. Change all user passwords

Correct Answer: 1

Explanation

A configuration bundle intended for indexer peers should be validated before distribution. The architect should confirm that the settings are syntactically correct, compatible with the deployment, and appropriate for the intended cluster behavior. The potential impact on peer operation, indexing, searching, and maintenance should also be considered. A controlled rollout with monitoring and a recovery plan is preferable for significant changes. Deleting indexes, disabling all search heads, or changing user passwords does not provide meaningful protection against configuration errors. Validation helps reduce the operational risk associated with cluster-wide changes.

Question 206

A high-volume Splunk environment has increasing disk latency on indexers while CPU remains below saturation. What does this most strongly suggest?

1. A user authentication problem
2. A dashboard configuration issue
3. A storage I/O bottleneck
4. A search-head captain problem

Correct Answer: 3

Explanation

High disk latency combined with relatively low CPU utilization can indicate that storage I/O is constraining indexer performance. The architect should examine disk latency, throughput, IOPS, queue depth, utilization, and the relationship between storage activity and indexing or search workloads. CPU capacity alone does not guarantee adequate indexing performance because Splunk relies heavily on efficient storage operations. Authentication and dashboard configuration do not normally explain this resource pattern, while Search Head Cluster captain behavior is unrelated to indexer disk performance. Storage should therefore be investigated as a potential limiting resource before adding CPU capacity.

Question 207

A company wants to identify whether an indexer cluster’s current capacity will remain sufficient for the next year. Which approach is most appropriate?

1. Use only today’s CPU utilization
2. Analyze historical growth and projected peak workloads
3. Count dashboard colors
4. Measure password-reset frequency

Correct Answer: 2

Explanation

Long-term capacity planning should use historical workload trends together with projected growth and expected peak conditions. The architect should evaluate ingest volume, retention requirements, search workload, replication overhead, storage consumption, and resource utilization over time. Using only current CPU utilization can miss seasonal peaks and future increases in data volume. Dashboard appearance and password-reset frequency provide no meaningful capacity information. A trend-based approach allows the organization to identify when infrastructure may become constrained and plan additional resources before capacity limitations affect ingestion, retention, search performance, or recovery operations.

Question 208

An indexer peer becomes unavailable unexpectedly. Which architectural behavior should be monitored immediately?

1. Dashboard rendering
2. Search result formatting
3. User profile synchronization
4. Bucket recovery and remaining peer capacity

Correct Answer: 4

Explanation

After an indexer peer becomes unavailable, the architect should monitor bucket recovery and the capacity of the surviving peers. The cluster may need to restore required replicated copies, creating additional storage, CPU, and network workload. At the same time, the remaining peers must continue handling normal indexing and search activity. Monitoring recovery progress helps determine whether the cluster is returning to its desired resilient state. Dashboard rendering, result formatting, and user profile synchronization do not directly measure indexer recovery. The architect should also watch for resource saturation that could prolong the recovery process.

Question 209

A deployment uses multiple forwarding tiers. One tier consistently sends much more data than the others. What should be reviewed?

1. Search-head captain elections
2. Forwarding load distribution and source assignment
3. Dashboard permissions
4. Frozen bucket policies

Correct Answer: 2

Explanation

Uneven data volume across forwarding tiers can result from source assignment, load-balancing configuration, connection behavior, or differences in the sources connected to each tier. The architect should compare ingest rates, active destinations, source distribution, network paths, and forwarding configuration across the tiers. If one tier receives significantly more data, it may become a processing or network bottleneck even when other tiers have unused capacity. Search-head captain elections, dashboard permissions, and frozen bucket policies do not control forwarding distribution. Reviewing the complete ingestion path can reveal whether the imbalance is intentional or configuration-related.

Question 210

A Search Head Cluster requires an application update that contains new knowledge objects and configuration. Which process best supports consistent deployment?

1. Edit each member independently
2. Restart only the captain
3. Use the SHC deployer workflow for the application package
4. Remove the application from all members

Correct Answer: 3

Explanation

Application packages intended for Search Head Cluster members should be managed through the appropriate SHC deployer workflow. This provides a controlled method for distributing application configuration and helps maintain consistency across members. Before deployment, the architect should validate the package, understand dependencies, and consider the effect on existing workloads and knowledge objects. Editing members independently can introduce configuration drift, while restarting only the captain does not distribute application changes. Removing the application is obviously not a deployment strategy. Controlled application distribution supports predictable cluster behavior.

Question 211

A multi-site cluster must continue supporting searches after one complete site is lost. Which capacity consideration is essential?

1. Remaining sites must have enough resources for the redirected workload
2. Dashboard count must be identical at every site
3. Password policies must be synchronized manually
4. User interface settings must change automatically

Correct Answer: 1

Explanation

Site-level resilience requires more than placing redundant data across different locations. The surviving sites must have enough indexing and search capacity to handle the workload after an entire site becomes unavailable. Architects should evaluate CPU, memory, storage, network bandwidth, search concurrency, ingestion requirements, and recovery overhead in the remaining environment. Otherwise, data may technically remain available while the surviving infrastructure becomes overloaded. Dashboard counts and interface settings do not determine capacity. Password policies are also unrelated to workload capacity. Site-failure planning should therefore include both data placement and surviving-resource requirements.

Question 212

A Splunk architect wants to determine whether scheduled searches are causing resource contention. Which evidence is most useful?

1. Number of user accounts
2. Search execution times and concurrent workload during schedule windows
3. Dashboard colors
4. Number of frozen buckets

Correct Answer: 2

Explanation

To determine whether scheduled searches cause contention, the architect should correlate search execution times and concurrent workload with the periods when scheduled searches run. CPU and memory utilization, search duration, skipped searches, and other workload indicators can help establish whether scheduled activity creates resource pressure. Merely counting users does not show when searches execute, while dashboard colors and frozen bucket counts are unrelated to search concurrency. Examining workload patterns around schedule windows can reveal whether staggering, optimizing, or otherwise managing scheduled searches could reduce contention on the search tier.

Question 213

An organization requires predictable recovery after an indexer failure. Which design activity is most valuable before production deployment?

1. Testing a representative failure and recovery scenario
2. Changing dashboard themes
3. Increasing password length
4. Renaming search applications

Correct Answer: 1

Explanation

Testing a representative indexer failure and recovery scenario provides practical evidence that the architecture behaves as intended under failure conditions. The test can verify bucket recovery, search availability, network behavior, surviving-peer capacity, and recovery duration. It may also reveal unexpected resource contention or configuration problems that are not visible during normal operation. Dashboard themes, password length, and application naming do not validate disaster or failure recovery. Controlled resilience testing should be performed with clear objectives and operational safeguards so that results can be used to improve the production architecture.

Question 214

A search workload generates large result sets across many indexers. Which resource should be evaluated carefully between search heads and indexers?

1. User password storage
2. Dashboard image size
3. Network throughput
4. Number of frozen buckets

Correct Answer: 3

Explanation

Large distributed search result sets can generate significant network traffic between indexers and search heads. The architect should evaluate network throughput, latency, concurrent search volume, and other traffic sharing the same paths. Even when indexers and search heads have sufficient CPU and memory, constrained network capacity can increase search duration and reduce overall responsiveness. Password storage, dashboard image size, and frozen bucket counts do not directly address this communication requirement. Network sizing should consider both normal and peak workloads so that large distributed searches do not create avoidable contention.

Question 215

A forwarding tier performs extensive event processing before sending data to indexers. What risk should be considered during capacity planning?

1. Excessive processing can make the forwarding tier a throughput bottleneck
2. Search heads will automatically gain CPU
3. Replication factor will decrease automatically
4. Indexer storage requirements disappear

Correct Answer: 1

Explanation

Extensive preprocessing can consume significant CPU and memory on forwarding systems. If the forwarding tier cannot process events as quickly as sources generate them, queues may grow and ingestion latency can increase. The architect should therefore measure event throughput, processing complexity, CPU utilization, memory use, network capacity, and queue behavior under realistic workloads. Moving processing away from indexers can be beneficial, but it does not eliminate capacity requirements. Search heads do not gain resources automatically, replication settings do not change because of forwarding load, and indexer storage remains necessary.

Question 216

An architect is reviewing an indexer’s bucket distribution after a topology change. What should be verified?

1. That required bucket copies and cluster placement remain consistent with design goals
2. That all dashboards use the same color
3. That user passwords have equal length
4. That search queries contain the same number of terms

Correct Answer: 1

Explanation

After a topology change, bucket distribution should be reviewed to ensure that required replicated and searchable copies remain consistent with the intended resilience design. The architect should consider peer membership, site placement, failure domains, recovery activity, and whether the resulting distribution provides the expected availability. A topology change can alter how data is distributed and may trigger additional replication work. Dashboard colors, password lengths, and query term counts do not validate bucket placement. Verifying the actual cluster state after structural changes helps ensure that the deployment continues to meet architectural requirements.

Question 217

A production environment has frequent configuration changes across several Splunk tiers. What practice best reduces configuration drift?

1. Manual editing on every server
2. Centralized and controlled configuration deployment
3. Disabling monitoring
4. Removing application version information

Correct Answer: 2

Explanation

Centralized and controlled configuration deployment reduces the chance that different servers will receive inconsistent settings. The architect should define which deployment mechanism is appropriate for each Splunk tier and establish validation, version control, change procedures, and post-deployment checks. Manual editing on every server makes drift more likely and complicates troubleshooting. Disabling monitoring removes useful operational visibility, while removing application version information makes change management harder. Consistent configuration management is particularly important in distributed architectures because a small difference between otherwise equivalent components can produce unexpected behavior.

Question 218

A site has sufficient indexer storage but its network connection is frequently saturated. Which consequence should the architect consider?

1. Faster replication automatically
2. Improved search concurrency
3. Reduced forwarding and distributed-search performance
4. Elimination of storage requirements

Correct Answer: 3

Explanation

A saturated network connection can affect multiple communication paths simultaneously. Depending on the architecture, forwarding traffic, distributed search traffic, replication, and recovery operations may compete for available bandwidth. This can increase ingestion latency, slow search result transfer, and delay replication or recovery. Having sufficient local storage does not eliminate network requirements. Faster replication is not a guaranteed result of saturation, and search concurrency generally does not improve when communication is constrained. The architect should identify shared network paths and evaluate both normal and failure-state traffic when assessing the impact of network saturation.

Question 219

A Search Head Cluster member is removed from service. What should be considered before completing the decommissioning process?

1. Cluster health, workload redistribution, and remaining member capacity
2. Dashboard font selection
3. Password character order
4. Frozen bucket naming

Correct Answer: 1

Explanation

Removing a Search Head Cluster member can change workload distribution and reduce available search capacity. Before completing decommissioning, the architect should verify cluster health, confirm that the remaining members can support expected workloads, and follow the appropriate process for removing the member cleanly. Applications, knowledge objects, KV Store considerations, and maintenance procedures may also need review depending on the environment. Dashboard fonts, password character order, and frozen bucket naming do not determine whether an SHC member can safely be removed. Capacity and cluster-state validation are essential to avoid unnecessary service impact.

Question 220

During a final architecture assessment, several components meet their individual specifications, but the overall system still shows performance problems. What should be examined next?

1. Dashboard appearance
2. User naming conventions
3. End-to-end workload flow and interactions between tiers
4. Password expiration settings

Correct Answer: 3

Explanation

A distributed system can experience performance problems even when each individual component appears to meet its specifications. The architect should therefore examine the complete workload path and interactions between forwarding, indexing, search, storage, and network layers. Bottlenecks can arise from communication, workload concentration, shared dependencies, scheduling, replication, or resource contention between components. Focusing only on individual server specifications may miss these system-level constraints. Dashboard appearance, user naming conventions, and password expiration settings do not provide meaningful performance evidence. End-to-end analysis helps identify where workload is actually being delayed or constrained.