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

 

Question 381

An architect needs to estimate indexer storage for a new deployment. Which combination provides the most useful foundation for the calculation?

1. Number of dashboards and user roles
2. Daily ingest, retention, replication, and storage overhead
3. Password policies and authentication methods
4. Number of search-head applications

Correct Answer: 2

Explanation

Indexer storage planning should begin with the expected volume of data entering the system and how long that data must remain available. Retention directly affects the amount of data stored, while replication increases the physical storage requirement because multiple copies may be maintained. The architect should also account for expected growth and appropriate capacity headroom rather than sizing only for current ingestion. Dashboard counts, authentication settings, and search-head application counts do not provide the primary inputs for storage modeling. A realistic storage model should therefore combine ingest volume, retention objectives, replication requirements, growth assumptions, and operational headroom.

Question 382

A deployment must route events from several source types to different indexer groups based on organizational requirements. Which architectural capability should be evaluated?

1. Search-result formatting
2. Dashboard scheduling
3. Data routing and forwarding configuration
4. User password complexity

Correct Answer: 3

Explanation

When different source types must reach specific indexer groups, the architect needs to evaluate the forwarding and routing architecture. Source classification, destination configuration, load balancing, processing requirements, and network paths all influence whether events can be routed reliably. The design should also consider what happens when a destination becomes unavailable and whether routing creates uneven workloads across indexers. Search-result formatting and dashboard scheduling do not determine event routing. Password complexity is unrelated as well. A clear data-flow model should show where events originate, which processing tier handles them, and how they ultimately reach the appropriate indexing destinations.

Question 383

A high-volume data source requires extensive event transformation before indexing. What should an architect primarily assess when selecting the processing tier?

1. Available CPU, memory, throughput, and queue capacity
2. Number of dashboards
3. Search-head captain election frequency
4. Historical search-result formatting

Correct Answer: 1

Explanation

Extensive event transformation can consume substantial processing resources before data reaches the indexers. The architect should therefore evaluate CPU, memory, throughput, queue behavior, network capacity, and expected growth on the selected processing tier. The workload should be tested with realistic event rates and transformation complexity because theoretical hardware specifications may not represent actual performance. A processing tier that appears adequate for average traffic can become a bottleneck during peak ingestion. Dashboard counts, captain elections, and search-result formatting do not determine preprocessing capacity. The architecture should provide sufficient headroom for both current processing and expected future workload.

Question 384

An organization wants to minimize the effect of a single network-device failure on its Splunk deployment. Which architectural approach directly addresses this requirement?

1. Increase dashboard refresh frequency
2. Use independent network paths or redundant network components
3. Increase search retention
4. Add more scheduled reports

Correct Answer: 2

Explanation

Independent network paths or redundant network components can reduce the effect of a single network-device failure. The architect should identify critical communication paths between forwarders, processing tiers, indexers, search heads, and management components, then determine whether a shared switch, router, interface, or other device represents a common failure point. Simply adding more searches or increasing retention does not improve network resilience. Redundancy should also be evaluated for genuine independence because two paths that ultimately depend on the same physical device may not provide meaningful protection. Failure testing can verify whether traffic continues when an individual network component becomes unavailable.

Question 385

A Search Head Cluster application contains configuration files that differ from the intended deployment package. What should the architect verify before correcting the environment?

1. The effective configuration and source of the differing settings
2. The number of frozen buckets
3. The physical location of dashboards
4. The password expiration interval

Correct Answer: 1

Explanation

Before correcting configuration differences, the architect should determine which settings are actually effective and where the differences originated. Configuration precedence, application contents, deployment procedures, local changes, and member-specific state can all contribute to unexpected behavior. Simply replacing files without understanding the source may cause another inconsistency or overwrite an intentional setting. Frozen buckets, dashboard locations, and password expiration do not explain application configuration drift. A controlled comparison between the intended package and effective member configuration helps establish the correct remediation path and supports consistent application behavior across the Search Head Cluster.

Question 386

An indexer cluster experiences prolonged bucket recovery after a peer failure. Which additional measurement would best help determine the cause?

1. Dashboard count
2. Password reset frequency
3. Recovery data-transfer rate and available network capacity
4. Number of user roles

Correct Answer: 3

Explanation

Prolonged bucket recovery can result from insufficient data-transfer throughput, network contention, storage limitations, or competing workloads. Measuring recovery data-transfer rates together with available network capacity provides useful evidence about whether the recovery path is constrained by network resources. The architect should also correlate these measurements with storage I/O and peer workload to determine whether another resource is limiting recovery. Dashboard counts, password resets, and user roles do not meaningfully explain bucket recovery duration. Recovery should be treated as a workload of its own when evaluating resilience, especially in environments where large amounts of replicated data must be restored after failures.

Question 387

A Splunk deployment has strong average performance but frequently slows during predictable business peaks. What should the architect use when evaluating capacity?

1. Average workload only
2. Peak workload measurements and projected growth
3. Dashboard count only
4. Password policy requirements

Correct Answer: 2

Explanation

Average utilization can conceal short periods of significant resource saturation. For capacity planning, the architect should examine peak ingestion, search concurrency, storage I/O, network utilization, scheduled-search activity, and other workload measurements during the busiest periods. Projected growth should then be applied to those peak conditions rather than only to average traffic. This approach provides a more realistic estimate of future requirements and helps preserve operational headroom. Dashboard counts and password policies do not describe infrastructure workload. Designing around peak and projected conditions is especially important when business activity follows predictable patterns that regularly create short but intense demand.

Question 388

A Search Head Cluster remains available after losing one member, but searches become noticeably slower. What should be assessed first?

1. Increased workload and resource utilization on surviving members
2. Historical retention settings
3. Forwarder naming conventions
4. Dashboard colors

Correct Answer: 1

Explanation

When an SHC remains available but searches slow after a member failure, the surviving members may be handling additional workload. The architect should compare search concurrency, CPU, memory, search duration, scheduled searches, and workload distribution before and after the failure. If the remaining members become heavily utilized, the architecture may require additional headroom or improved workload management. Retention settings and forwarder naming do not directly explain increased search-head load, while dashboard colors are irrelevant. This scenario illustrates that availability and performance are separate architectural objectives and that resilience testing should measure both service continuity and resource behavior.

Question 389

A new indexer is added to an existing cluster. Which activity is most important before declaring the expansion complete?

1. Confirm peer health, data redistribution, and stable resource utilization
2. Change all dashboard names
3. Disable replication temporarily
4. Remove scheduled searches

Correct Answer: 1

Explanation

Adding an indexer can trigger bucket redistribution and changes in workload across the cluster. The architect should verify that the new peer is healthy, properly participating in the cluster, receiving the expected workload, and that redistribution or replication activity has reached an acceptable stable state. Resource utilization should be compared across the cluster to identify unexpected imbalance. Disabling replication would undermine data resilience, while dashboard renaming and removing scheduled searches are unrelated to validating the indexer expansion. Completion should be based on observed cluster health and workload behavior rather than simply confirming that the new server has joined.

Question 390

A deployment uses a dedicated management tier for centralized administration. Which concern should remain part of the architecture review?

1. Whether management traffic and dependencies have adequate capacity and resilience
2. Whether dashboards use identical colors
3. Whether users have the same search history
4. Whether retention is completely disabled

Correct Answer: 1

Explanation

A dedicated management tier can centralize important administrative functions, but it also introduces dependencies that should be included in architecture planning. The architect should evaluate management traffic, connectivity, configuration distribution, authentication dependencies, monitoring requirements, and failure behavior. If a shared management component becomes unavailable, the impact on administration or operational workflows should be understood. Dashboard appearance and user search history do not determine management-tier resilience, while disabling retention would be inappropriate for most deployments. Centralization can improve operational control, but the associated dependencies and potential failure domains must still be documented and tested.

Question 391

A deployment receives event data through HTTP-based ingestion. What should an architect consider when sizing this ingestion path?

1. Incoming event volume, connection behavior, processing requirements, and downstream capacity
2. Number of dashboards only
3. Search-history length only
4. Password expiration only

Correct Answer: 1

Explanation

HTTP-based ingestion can introduce workload on the receiving tier before events reach indexing infrastructure. The architect should consider incoming event rates, connection behavior, payload characteristics, processing requirements, network throughput, queueing, and downstream indexer capacity. Authentication and access controls may also create supporting dependencies that should be accounted for operationally. Dashboard count, search-history length, and password expiration do not provide a meaningful basis for sizing the ingestion path. Capacity testing should use realistic event rates and payload sizes so that bottlenecks can be identified across the entire path rather than assuming that the receiving endpoint alone determines performance.

Question 392

An architect wants to identify whether search latency originates on the search head or indexers. Which approach is most appropriate?

1. Compare search-head and indexer resource metrics with search duration and concurrency
2. Change dashboard colors
3. Reduce retention without measuring workload
4. Rename search applications

Correct Answer: 1

Explanation

Distributed search performance should be evaluated across the complete search path. The architect can correlate search duration and concurrency with search-head CPU, memory, workload, indexer CPU, storage latency, network activity, and other relevant resource measurements. If search heads are saturated while indexers remain lightly utilized, the constraint may be concentrated in the search tier. Conversely, high indexer resource usage or storage latency may point to the indexing layer. Dashboard appearance, arbitrary retention changes, and application renaming do not provide diagnostic evidence. Correlating workload and resource metrics is more reliable than attributing latency to a single tier without measurement.

Question 393

A multi-site indexer cluster must remain operational when an entire site becomes unavailable. Which design characteristic should be validated?

1. Search-head application versions
2. Cross-site data placement and sufficient surviving capacity
3. Dashboard ownership
4. Password complexity

Correct Answer: 2

Explanation

Whole-site resilience requires more than simply having multiple sites. The architect should validate that required data copies are appropriately distributed across failure domains and that surviving sites have sufficient storage, compute, network, and search capacity to continue required operations. Site-aware placement should align with the organization’s availability and recovery objectives. If all usable copies or too much workload remain concentrated at one site, a site failure can still interrupt service. Application versions, dashboard ownership, and password complexity do not establish site-level resilience. A failure simulation can provide evidence that the architecture behaves as intended when an entire site is unavailable.

Question 394

A configuration change is expected to affect all indexer peers. What should happen before distributing the change broadly?

1. Apply it everywhere immediately
2. Validate the configuration and assess its potential cluster-wide impact
3. Disable monitoring
4. Remove all replicated data

Correct Answer: 2

Explanation

A configuration change affecting all indexer peers should be validated before broad distribution because an incorrect setting can produce widespread operational impact. The architect should review the configuration, test it where appropriate, assess dependencies, consider workload effects, and confirm that the resulting behavior matches the intended architecture. Cluster health and recovery implications should also be considered. Immediately applying an unverified change increases the risk of simultaneous failures or inconsistent behavior. Disabling monitoring removes useful operational visibility, while deleting replicated data is unrelated and could compromise resilience. Controlled validation provides a safer path for cluster-wide configuration changes.

Question 395

A storage platform performs well during normal ingestion but develops high latency during simultaneous recovery and search activity. What does this indicate?

1. The platform should be evaluated against combined peak and failure-state workloads
2. Storage performance no longer matters
3. Search heads should always be removed
4. Replication should be permanently disabled

Correct Answer: 1

Explanation

Storage behavior during normal ingestion does not necessarily represent performance during recovery and concurrent search activity. Recovery can generate additional reads and writes while users continue accessing data, creating a combined workload that may expose storage latency or throughput limitations. The architect should therefore test and model normal, peak, and failure-state conditions when evaluating storage suitability. Permanently disabling replication would undermine resilience, and removing search heads does not solve the underlying storage constraint. The finding indicates that capacity planning should account for concurrent workloads rather than relying exclusively on isolated normal-operation benchmarks.

Question 396

A forwarding architecture must continue sending data when one destination indexer becomes unavailable. Which behavior should be verified?

1. Automatic traffic redistribution or failover to available destinations
2. Dashboard replication
3. Password synchronization
4. Search-result formatting

Correct Answer: 1

Explanation

Forwarding resilience depends on how traffic is distributed among available destinations and what happens when a destination becomes unavailable. The architect should verify connection behavior, load balancing, destination health detection, retry behavior, queueing, and the capacity of surviving indexers. A design may appear redundant but still create delays if failed destinations are not handled effectively or if surviving destinations lack sufficient capacity. Dashboard replication and password synchronization do not provide forwarding resilience. Search-result formatting is unrelated. Failure testing with an unavailable destination can demonstrate whether ingestion continues within the expected operational requirements.

Question 397

An architect observes that storage usage grows faster than ingestion volume. Which factors should be reviewed?

1. Retention changes, replication, bucket behavior, and actual data-growth patterns
2. Dashboard colors
3. Password length
4. Search-result font settings

Correct Answer: 1

Explanation

Storage consumption can increase faster than raw ingestion because of longer retention, replication requirements, changes in data distribution, or differences between modeled and actual workload behavior. The architect should compare current storage growth with ingest trends and review retention settings, replication configuration, bucket lifecycle behavior, and projected data growth. Unexpected changes in these areas may explain why the storage model is being exceeded. Dashboard appearance, password length, and search-result formatting do not materially affect indexer storage consumption. Continuous comparison between actual measurements and the capacity model helps identify when architectural assumptions need to be updated.

Question 398

A company wants to verify that its Splunk architecture can recover within a defined business objective after a major failure. What should the architect perform?

1. A representative recovery test measuring restoration time and resource usage
2. A dashboard redesign
3. A password audit only
4. A search-history cleanup

Correct Answer: 1

Explanation

Recovery objectives should be validated through representative testing rather than assumed from theoretical architecture diagrams. A recovery test should measure how long it takes to restore required service, how much data must be recovered, and how CPU, memory, storage, and network resources behave during the process. The test should reflect realistic failure conditions and workload levels. Dashboard redesign, password auditing, and search-history cleanup do not demonstrate recovery capability. Measuring actual recovery performance allows the architect to identify resource constraints and determine whether the environment can meet the organization’s defined recovery expectations under realistic conditions.

Question 399

A Splunk architecture has multiple redundant components, but all depend on one shared storage service. What should the architect identify?

1. A potential shared failure dependency
2. Improved dashboard performance
3. Reduced retention requirements
4. Automatic search optimization

Correct Answer: 1

Explanation

Redundant application or server components do not provide full resilience if they depend on a single shared infrastructure service that can fail. The architect should identify the shared storage service as a potential common failure dependency and determine which components and functions would be affected if it became unavailable. The design should then evaluate whether the dependency is intentional, sufficiently resilient, or replaceable with an architecture that better matches the required failure tolerance. Dashboard performance, retention requirements, and search optimization do not resolve this dependency. Mapping shared infrastructure is essential for discovering hidden single points of failure.

Question 400

Before approving a major Splunk Enterprise architecture, which validation approach provides the strongest evidence that the design meets operational requirements?

1. Review only the hardware specifications
2. Test only normal daily ingestion
3. Validate normal, peak, maintenance, and representative failure scenarios
4. Confirm that all dashboards load successfully

Correct Answer: 3

Explanation

A complete architecture validation should cover more than normal daily operation. The architect should evaluate expected workloads, peak ingestion and search activity, planned maintenance, component failures, recovery behavior, network constraints, storage performance, workload redistribution, and resource headroom. Testing these scenarios provides evidence that the architecture can continue operating when conditions differ from the average workload. Hardware specifications alone cannot demonstrate end-to-end behavior, while dashboard availability is only a small part of operational validation. A combination of normal, peak, maintenance, and representative failure testing provides a much more comprehensive basis for confirming architectural readiness.