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

 

Question 181

A distributed Splunk environment has multiple indexer peers receiving data from several forwarding tiers. Which architectural concern is most important when adding another forwarding tier?

1. Dashboard ownership
2. User role naming
3. Load distribution and downstream indexer capacity
4. Search result formatting

Correct Answer: 3

Explanation

Adding a forwarding tier changes the path through which data reaches the indexing layer. The architect should verify that ingestion remains evenly distributed and that downstream indexers have enough capacity for the additional connections and event volume. Network throughput, connection behavior, load balancing, and existing forwarding configurations should also be reviewed. Simply adding another forwarding tier does not automatically increase end-to-end capacity if indexers or network paths are already constrained. Dashboard ownership, user role naming, and result formatting do not address ingestion architecture. Capacity should therefore be evaluated across the complete forwarding and indexing path.

Question 182

An indexer peer is scheduled for maintenance in a clustered deployment. What should the architect verify before taking the peer offline?

1. That the cluster has sufficient healthy peers and required data copies
2. That all dashboards are deleted
3. That user passwords have changed
4. That scheduled searches are permanently disabled

Correct Answer: 1

Explanation

Before taking an indexer peer offline, the architect should verify cluster health, remaining peer capacity, and the availability of required data copies. The impact of the maintenance depends on replication and searchability requirements, current bucket states, and the number of other healthy peers. The architect should also consider whether the remaining infrastructure can support normal workloads and any recovery activity generated by the maintenance event. Deleting dashboards, changing passwords, or permanently disabling scheduled searches are unrelated actions. Proper pre-maintenance validation reduces the risk of unnecessary data unavailability or excessive recovery activity.

Question 183

A search head receives searches but experiences high CPU utilization while indexers remain lightly loaded. What should be investigated first?

1. Frozen bucket count
2. Search concurrency and workload on the search tier
3. Indexer replication factor only
4. Forwarder authentication settings

Correct Answer: 2

Explanation

When search heads show high CPU utilization while indexers remain lightly loaded, the architect should investigate workload characteristics on the search tier. Important factors include concurrent searches, scheduled searches, search duration, search types, dispatch behavior, and resource-intensive workloads. The imbalance may indicate that search-head capacity or workload management needs attention rather than an indexing bottleneck. Frozen bucket counts and replication settings do not directly explain high search-head CPU utilization in this scenario. Forwarder authentication is also unrelated. Comparing workload and resource metrics across search heads can help identify whether the issue is isolated or systemic.

Question 184

A company requires search continuity if an entire data-center site becomes unavailable. Which architectural capability should receive particular attention?

1. Local dashboard customization
2. User password policies
3. Application naming standards
4. Site-aware redundancy and placement of searchable data

Correct Answer: 4

Explanation

Site-level resilience requires more than simply having multiple copies of data. The architect must ensure that redundant and searchable copies are appropriately distributed across failure domains so that losing an entire site does not remove required data availability. Site-aware replication and searchability settings should therefore be evaluated alongside network capacity, latency, and surviving-site resources. Dashboard customization, password policies, and application naming do not provide site-level resilience. The architecture should be tested against realistic site-failure scenarios to verify that the remaining infrastructure can continue supporting required searches and workloads.

Question 185

A new indexer cluster configuration is prepared for production. Which step helps prevent an invalid configuration from affecting the entire cluster?

1. Validate the configuration before distributing it
2. Disable all peer communication
3. Delete existing cluster settings
4. Restart every search head first

Correct Answer: 1

Explanation

Cluster-wide configuration can affect multiple indexer peers, so validation should occur before the configuration is distributed. The architect should review syntax, required settings, dependencies, and expected behavior before applying the bundle to production peers. Where appropriate, changes should also be tested in a controlled environment and accompanied by a rollback plan. Disabling peer communication or deleting existing settings does not provide meaningful protection against configuration errors. Restarting search heads first is also unrelated to validating indexer cluster configuration. Pre-distribution validation reduces the blast radius of administrative mistakes.

Question 186

A Splunk deployment experiences intermittent ingestion delays during periods of heavy indexing and replication activity. Which resource should be examined closely?

1. Search dashboard count
2. User authentication logs
3. Network bandwidth and contention
4. Application icon configuration

Correct Answer: 3

Explanation

Heavy indexing and replication activity can place significant demand on network infrastructure. If ingestion delays occur during these periods, the architect should examine network bandwidth, utilization, latency, packet loss, and contention between ingestion and replication traffic. Shared network paths may become saturated even when individual components have sufficient CPU and storage capacity. Dashboard counts, authentication logs, and application icon settings do not explain this type of ingestion delay. Network analysis should include both normal and recovery conditions because replication traffic can increase substantially when the cluster is restoring required data copies after failures or maintenance.

Question 187

A Search Head Cluster member has configuration differences that are not present on other members. What is the primary architectural concern?

1. Configuration drift
2. Disk formatting
3. Bucket freezing
4. Forwarder buffering

Correct Answer: 1

Explanation

Configuration differences between Search Head Cluster members can create inconsistent behavior and indicate configuration drift. In a clustered search tier, applications, knowledge objects, and relevant configuration should be managed through the appropriate cluster mechanisms rather than maintained independently without control. The architect should identify the source of the difference, determine whether it was intentional, and restore consistency using supported deployment procedures. Disk formatting, bucket freezing, and forwarder buffering are separate concerns. Configuration drift can become particularly problematic when users access different members and receive different search behavior or application functionality.

Question 188

An architect is evaluating whether a search-head cluster can support increased user activity. Which metric combination is most informative?

1. Number of frozen buckets and index names
2. Concurrent searches, CPU usage, memory usage, and search duration
3. Password expiration count and dashboard colors
4. Forwarder hostname length and user profile count

Correct Answer: 2

Explanation

Search-head capacity is closely related to the workload generated by users and scheduled searches. Concurrent searches, CPU utilization, memory utilization, and search duration provide useful evidence about how the search tier behaves under increasing activity. These metrics should be evaluated during representative peak periods rather than only during quiet periods. Frozen bucket counts and index names do not directly measure search-head capacity. Password expiration, dashboard colors, hostname length, and profile counts are also poor indicators of search workload. Combining resource and workload metrics provides a stronger basis for determining whether additional capacity or workload optimization is necessary.

Question 189

A cluster is recovering replicated data after a peer failure. Why might normal search performance temporarily change?

1. Recovery activity consumes resources that may compete with normal workloads
2. Replication permanently deletes searchable data
3. Recovery disables all dashboards
4. Search heads automatically stop all users

Correct Answer: 1

Explanation

Recovery operations require resources to restore required data copies after a peer failure. Disk I/O, network bandwidth, CPU, and other resources may be consumed by replication and bucket recovery activity. If the surviving infrastructure has limited headroom, this additional workload can compete with normal indexing and search operations and temporarily affect performance. Recovery does not inherently delete searchable data, disable dashboards, or automatically stop all users. Architects should account for recovery overhead when sizing infrastructure and should monitor cluster behavior during both normal operation and failure recovery.

Question 190

A high-volume source requires routing and transformation before indexing. Which design decision should the architect make carefully?

1. Dashboard ownership
2. Password complexity
3. Placement of processing responsibilities
4. Search result color

Correct Answer: 3

Explanation

For a high-volume source requiring routing or transformation, processing placement is an important architectural decision. The architect should determine whether the required work belongs on a forwarding or indexing tier based on the type of processing, expected event volume, CPU requirements, network implications, and configuration consistency. Poor placement can create a bottleneck or cause unnecessary processing on already busy components. Dashboard ownership, password complexity, and search result colors do not affect processing architecture. The chosen design should also be tested with representative data to confirm that throughput and event handling remain within acceptable limits.

Question 191

An organization wants to reduce the risk that one network failure disrupts an entire distributed Splunk deployment. What should the architect evaluate?

1. Dashboard refresh intervals only
2. User role descriptions
3. Search query capitalization
4. Network path redundancy and failure domains

Correct Answer: 4

Explanation

Network path redundancy helps reduce the impact of individual network failures on distributed Splunk components. The architect should identify critical communication paths between forwarders, indexers, search heads, cluster management components, and other required services. Failure domains should be documented so that redundant paths do not unintentionally depend on the same physical infrastructure. Dashboard refresh intervals, role descriptions, and query capitalization do not provide network resilience. The design should also consider bandwidth and latency because a redundant path is useful only if it can support the workload when the primary path becomes unavailable.

Question 192

A search-heavy environment has many scheduled searches starting simultaneously every hour. Which change could improve workload distribution?

1. Stagger scheduled search execution
2. Increase index replication immediately
3. Remove all search peers
4. Disable network monitoring

Correct Answer: 1

Explanation

Staggering scheduled searches can reduce sudden spikes in concurrent workload on the search tier. When many searches start simultaneously, CPU, memory, and other resources can become temporarily saturated even if average utilization appears acceptable. The architect should review search schedules, execution duration, concurrency, and business requirements before changing timing. Increasing index replication would address data resilience rather than search scheduling, while removing search peers would reduce search capability. Disabling network monitoring does not improve search performance. Workload smoothing is often useful when resource contention is caused by predictable scheduling patterns.

Question 193

A multi-site indexer cluster must maintain redundancy across specific sites. Which information is essential when reviewing the design?

1. Dashboard themes
2. Site-specific replication and searchability requirements
3. User interface language
4. Password reset frequency

Correct Answer: 2

Explanation

A multi-site cluster requires the architect to understand how replication and searchability should be distributed between sites. Site-specific requirements determine whether the architecture can continue providing required data availability after losing a peer or an entire site. The design should also account for inter-site bandwidth, latency, local capacity, and failure scenarios. Dashboard themes, interface language, and password reset frequency do not determine data placement or site resilience. Reviewing site-specific replication and searchability requirements ensures that the architecture aligns with the organization’s business continuity objectives.

Question 194

An architect observes that indexers have sufficient CPU but searches remain slow when storage utilization is high. What should be investigated?

1. User naming conventions
2. Dashboard ownership
3. Storage I/O performance and latency
4. Search-head passwords

Correct Answer: 3

Explanation

High storage utilization can be accompanied by increased disk I/O contention, which may affect indexing and search performance even when CPU utilization remains within acceptable limits. The architect should examine disk latency, throughput, IOPS, queue depth, utilization, and the characteristics of the searches generating the workload. Storage capacity and storage performance are related but distinct considerations. User naming conventions, dashboard ownership, and password settings do not explain storage-related search latency. A complete performance assessment should correlate search duration with storage metrics to determine whether the storage subsystem is contributing to the observed bottleneck.

Question 195

A forwarder sends data to several indexers. One destination repeatedly becomes unavailable. What architectural behavior should be reviewed?

1. Load-balancing and connection management behavior
2. Dashboard scheduling
3. User profile synchronization
4. Search result formatting

Correct Answer: 1

Explanation

When one indexer destination repeatedly becomes unavailable, the architect should review forwarding load-balancing and connection-management behavior. The goal is to understand how the forwarder detects unavailable destinations, selects alternate indexers, manages connections, and distributes traffic after recovery. Connection configuration and network conditions should also be examined because repeated destination failures may have causes outside the indexer itself. Dashboard scheduling and user profile synchronization do not control ingestion routing. Understanding forwarding behavior helps determine whether the architecture can continue delivering data reliably when individual indexing destinations experience interruptions.

Question 196

Which factor should be included when estimating indexer capacity for future growth?

1. Current dashboard count only
2. User password expiration
3. Projected ingest growth and peak workload
4. Search-head application names

Correct Answer: 3

Explanation

Future indexer capacity planning should account for projected ingest growth as well as peak workload conditions. The architect should consider expected data-source expansion, daily and hourly ingest patterns, retention requirements, replication overhead, search activity, and available infrastructure headroom. Using only current utilization can underestimate future requirements, particularly when growth is expected to be significant. Dashboard count, password expiration, and application names do not provide meaningful indexer-capacity projections. Capacity planning should be based on measurable workload trends and realistic growth assumptions, with enough margin to accommodate operational events and recovery activity.

Question 197

A configuration update changes how incoming data is parsed. What should be verified after deployment?

1. That parsing behavior is consistent with the intended configuration
2. That user passwords are unchanged
3. That dashboards have identical colors
4. That all frozen buckets are deleted

Correct Answer: 1

Explanation

Changes affecting parsing should be validated against representative incoming events after deployment. The architect should verify event boundaries, timestamps, fields, transformations, and other expected parsing outcomes according to the configuration being changed. Validation is especially important when processing responsibilities are distributed across multiple tiers because inconsistent configuration can produce different results for similar data sources. User passwords, dashboard colors, and frozen bucket deletion do not validate parsing behavior. Post-deployment testing should confirm that the new configuration works as intended without introducing unexpected indexing or search-time data differences.

Question 198

An architect is reviewing a disaster recovery design for a distributed Splunk deployment. Which question is most important?

1. Which dashboard has the most panels?
2. How quickly and with what capacity can required services and data be restored?
3. Which user has the most searches?
4. Which application has the longest name?

Correct Answer: 2

Explanation

A disaster recovery architecture should define how required services and data will be restored after a major failure and whether the recovery environment has enough capacity to support business requirements. Important considerations include recovery time objectives, recovery point objectives, data availability, infrastructure dependencies, network connectivity, configuration recovery, and operational procedures. Dashboard complexity or application naming does not establish disaster recovery readiness. User search counts may contribute to workload planning but do not answer the core recovery question. The architecture should be validated through appropriate recovery exercises to identify gaps before an actual disaster occurs.

Question 199

An indexer cluster has adequate storage but insufficient capacity during recovery operations. What should be considered in future sizing?

1. Only normal daily ingest
2. Only average search activity
3. Recovery and replication workload in addition to normal operations
4. Only dashboard refresh frequency

Correct Answer: 3

Explanation

Capacity planning should account for recovery and replication workloads in addition to normal indexing and searching. When a peer fails, surviving peers may need to participate in recovery activities that consume disk I/O, CPU, storage, and network resources. If sizing is based only on normal daily ingest or average search activity, the cluster may become overloaded during a failure precisely when resilience mechanisms are most needed. Architects should model realistic failure scenarios and maintain sufficient headroom so that recovery can proceed without causing unacceptable degradation to normal workloads.

Question 200

A final architecture review identifies dependencies between forwarding, indexing, search, management, and network layers. Why should these dependencies be documented?

1. To make dashboards more attractive
2. To simplify password creation
3. To increase the number of indexes automatically
4. To understand failure impact and support capacity planning

Correct Answer: 4

Explanation

Documenting dependencies across forwarding, indexing, search, management, and network layers helps architects understand how a failure or capacity constraint in one component can affect other parts of the deployment. Dependency mapping supports troubleshooting, resilience planning, maintenance procedures, and capacity analysis. It can reveal shared network paths, management dependencies, processing bottlenecks, and potential single points of failure that might otherwise remain hidden. Dashboard appearance and password creation are unrelated to architectural dependency analysis. A well-documented dependency model provides an important reference for future changes and operational decision-making.