Splunk SPLK-2002 Dumps - Pass Splunk Enterprise Certified Architect Exam in First Attempt 2026

The correct action to take first if a deployment client is not updating apps is tochoose a corrective action based on the splunkd.log of the deployment client.This log file contains information about the communication between the deployment server and the deployment client, and it can help identify the root cause of the problem1. The other actions may or may not help, depending on the situation, but they are not the first steps to take.Choosing a longer phone home interval may reduce the load on the deployment server, but it will also delay the updates for the deployment clients2.Increasing the number of CPU cores or the amount of memory for the deployment server may improve its performance, but it will not fix the issue if the problem is on the deployment client side3. Therefore, option C is the correct answer, and options A, B, and D are incorrect.

1: Troubleshoot deployment server issues2: Configure deployment clients3: Hardware and software requirements for the deployment server

Splunk internal indexes are the indexes that store Splunk's own data, such as internal logs, metrics, audit events, and configuration snapshots. By default, Splunk internal indexes are stored in the SPLUNK_HOME/var/lib/splunk directory, along with other user-defined indexes. The SPLUNK_HOME/bin directory contains the Splunk executable files and scripts. The SPLUNK_HOME/var/run directory contains the Splunk process ID files and lock files. The SPLUNK_HOME/etc/system/default directory contains the default Splunk configuration files.

Splunk's KV Store management documentation specifies that when converting a static CSV lookup to a KV Store lookup, the lookup data is stored in a MongoDB-based collection defined in collections.conf. To ensure that the KV Store lookup is replicated and available across all search head cluster members, administrators must include the attribute replicate=true within the collections.conf file.

This configuration instructs Splunk to replicate the KV Store collection's data to all members in the Search Head Cluster (SHC), enabling consistent access and reliability across the cluster. Without this attribute, the KV Store collection would remain local to a single search head, making it unavailable for automatic lookups performed by other members.

Here's an example configuration snippet from collections.conf:

[customer_lookup]

replicate = true

field.name = string

field.age = number

The attribute repFactor=true (mentioned in Options A and D) is unrelated to KV Store behavior---it applies to index replication, not KV Store replication. Similarly, replicate=true in lookups.conf (Option B) has no effect, as KV Store replication is controlled exclusively via collections.conf.

Once properly configured, the lookup can be defined in transforms.conf and referenced in props.conf for automatic lookup functionality.

Reference (Splunk Enterprise Documentation):

* KV Store Collections and Configuration -- collections.conf Reference

* Managing KV Store Data in Search Head Clusters

* Automatic Lookup Configuration Using KV Store

* Splunk Enterprise Admin Manual -- Distributed KV Store Replication Settings

Splunk Deployment Server documentation clearly states that server class scalability is a primary factor in managing large numbers of forwarders. Each server class contains one or more apps and targets a set of deployment clients. Splunk recommends limiting the number of deployment clients per server class to maintain responsiveness and avoid configuration bottlenecks.

For large environments with tens of thousands of forwarders, Splunk explicitly advises splitting deployment clients across multiple server classes, typically in blocks of several thousand clients per class. This ensures that the Deployment Server can efficiently process configuration bundles, client check-ins, and app updates without delays or timeouts.

Increasing the phone-home interval (option A) may reduce check-in frequency but does not address server class scalability. Workload management (option B) is unrelated to Deployment Server operations. Reducing polling intervals (option C) actually increases load and is discouraged at scale.

Therefore, ensuring that server classes do not exceed approximately 5,000 deployment clients is the correct and recommended approach.

Splunk Deployment Server Manual; Forwarder Management at Scale; Deployment Server Performance Best Practices.

According to the Splunk documentation1, the CHARSET setting in props.conf specifies the character set encoding of the source data. This setting has the least impact on indexing performance, as it only affects how Splunk interprets the bytes of the data, not how it processes or transforms the data. The other options are false because:

The SHOULD_LINEMERGE setting in props.conf determines whether Splunk breaks events based on timestamps or newlines.This setting has a significant impact on indexing performance, as it affects how Splunk parses the data and identifies the boundaries of the events2.

The TRUNCATE setting in props.conf specifies the maximum number of characters that Splunk indexes from a single line of a file.This setting has a moderate impact on indexing performance, as it affects how much data Splunk reads and writes to the index3.

The TIME_PREFIX setting in props.conf specifies the prefix that directly precedes the timestamp in the event data.This setting has a moderate impact on indexing performance, as it affects how Splunk extracts the timestamp and assigns it to the event