The splunk add cluster-master command is used to configure the same search head to join another

indexer cluster. A search head can search multiple indexer clusters by adding multiple cluster-master

entries in its server.conf file. The splunk add cluster-master command can be used to add a new

cluster-master entry to the server.conf file, by specifying the host name and port number of the

master node of the other indexer cluster. The splunk add cluster-config command is used to configure

the search head to join the first indexer cluster, not the second one. The splunk edit cluster-config

command is used to edit the existing cluster configuration of the search head, not to add a new one.

The splunk edit cluster-master command does not exist, and it is not a valid command.

According to the Splunk documentation1, metrics.log is a file that contains various metrics data for

reviewing product behavior, such as pipeline, queue, thruput, and tcpout_connections. Metrics.log is

stored in the _internal index by default2, which is a special index that contains internal logs and

metrics for Splunk Enterprise. The other options are false because:

main is the default index for user data, not internal data3.

_telemetry is an index that contains data collected by the Splunk Telemetry feature, which sends

anonymous usage and performance data to Splunk4.

_introspection is an index that contains data collected by the Splunk Monitoring Console, which

monitors the health and performance of Splunk components.

When adding or rejoining a member to a search head cluster, and the following error is displayed:

Error pulling configurations from the search head cluster captain; consider performing a destructive

configuration resync on this search head cluster member.

The corrective action that should be taken is to run the splunk resync shcluster-replicated-config

command on this member. This command will delete the existing configuration files on this member

and replace them with the latest configuration files from the captain. This will ensure that the

member has the same configuration as the rest of the cluster. Restarting the search head, running

the splunk apply shcluster-bundle command from the deployer, or running the clean raft command

on all members of the search head cluster are not the correct actions to take in this scenario. For

more information, see Resolve configuration inconsistencies across cluster members in the Splunk

documentation.

A search head cluster is a group of Splunk Enterprise search heads that share configurations, job

scheduling, and search artifacts1. The deployer is a Splunk Enterprise instance that distributes apps

and other configurations to the cluster members1. The local folder of each Splunk app contains the

custom configurations that override the default settings2. The default folder of each Splunk app

contains the default configurations that are provided by the app2.

By default, when the deployer pushes an app to the search head cluster, it merges the local folder of

the app into the default folder and deploys the merged folder to the search heads3. This means that

the custom configurations in the local folder will take precedence over the default settings in the

default folder. However, this also means that the local folder of the app on the search heads will be

empty, unless the app is modified through the search head UI3.

Option B is the correct answer because it reflects the default behavior of the deployer when pushing

apps to the search head cluster. Option A is incorrect because the local folder is not copied to the

local folder on the search heads, but merged into the default folder. Option C is incorrect because all

the .conf files in the local folder are deployed to the search heads, not only certain ones. Option D is

incorrect because the local folder is not ignored, but merged into the default folder.

Reference:

1: Search head clustering architecture - Splunk Documentation 2: About configuration files - Splunk

Documentation 3: Use the deployer to distribute apps and configuration updates - Splunk

Documentation

According to the Splunk documentation1, increasing the current deployment client phone home

interval can minimize performance issues by reducing the frequency of communication between the

clients and the deployment server. This can also reduce the network traffic and the load on the

deployment server. The other options are false because:

Modifying deploymentclient.conf to change from a Pull to Push mechanism is not possible, as Splunk

does not support a Push mechanism for deployment server2.

Reducing the number of apps in the Manager Node repository will not affect the performance of the

deployment server, as the apps are only downloaded when there is a change in the configuration or a

new app is added3.

Decreasing the current deployment client phone home interval will increase the performance issues,

as it will increase the frequency of communication between the clients and the deployment server,

resulting in more network traffic and load on the deployment server1.

The splunk edit licenser-localslave command is used to convert a Splunk instance to a license slave.

This command will configure the Splunk instance to contact a license master and receive a license

from it. This command should be used when the Splunk instance is part of a distributed deployment

and needs to share a license pool with other instances. The splunk add licenses command is used to

add a license to a Splunk instance, not to convert it to a license slave. The splunk list licenser-slaves

command is used to list the license slaves that are connected to a license master, not to convert a

Splunk instance to a license slave. The splunk list licenser-localslave command is used to list the

license master that a license slave is connected to, not to convert a Splunk instance to a license slave.

For more information, see Configure license slaves in the Splunk documentation.

Before deploying Splunk, it is important to gather some information about the current environment,

such as:

Overall goals for the deployment: This includes the business objectives, the use cases, the expected

outcomes, and the success criteria for the Splunk deployment. This information helps to define the

scope, the requirements, the design, and the validation of the Splunk solution1.

Key users: This includes the roles, the responsibilities, the expectations, and the needs of the

different types of users who will interact with the Splunk deployment, such as administrators,

analysts, developers, and end users. This information helps to determine the user access, the user

experience, the user training, and the user feedback for the Splunk solution1.

Data sources: This includes the types, the formats, the volumes, the locations, and the characteristics

of the data that will be ingested, indexed, and searched by the Splunk deployment. This information

helps to estimate the data throughput, the data retention, the data quality, and the data analysis for

the Splunk solution1.

Option B, C, and D are the correct answers because they reflect the essential information that is

needed before deploying Splunk. Option A is incorrect because the list of vendors for network

devices is not a relevant information for the Splunk deployment. The network devices may be part of

the data sources, but the vendors are not important for the Splunk solution.

Reference:

1: Splunk Validated Architectures

The following logs are included in the _introspection index, which contains data that the Splunk

Enterprise deployment logs for platform instrumentation:

disk_objects.log. This log contains information about the disk objects that Splunk creates and

manages, such as buckets, indexes, and files. This log can help monitor the disk space usage and the

bucket lifecycle.

resource_usage.log. This log contains information about the resource usage of Splunk processes,

such as CPU, memory, disk, and network. This log can help monitor the Splunk performance and

identify any resource bottlenecks. The following logs are not included in the _introspection index,

but rather in the _internal index, which contains data that Splunk generates for internal logging:

audit.log. This log contains information about the audit events that Splunk records, such as user

actions, configuration changes, and search activity. This log can help audit the Splunk operations and

security.

metrics.log. This log contains information about the performance metrics that Splunk collects, such

as data throughput, data latency, search concurrency, and search duration. This log can help measure

the Splunk performance and efficiency. For more information, see About Splunk Enterprise

logging and [About the _introspection index] in the Splunk documentation.

A multisite indexer cluster is a type of indexer cluster that spans multiple geographic locations or

sites. A multisite indexer cluster requires only one cluster manager, also known as the master node,

for the entire cluster. The cluster manager is responsible for coordinating the replication and search

activities among the peer nodes across all sites. The cluster manager can reside in any site, but it

must be accessible by all peer nodes and search heads in the cluster. Option C is the correct answer.

Option A is incorrect because having two cluster managers for the entire cluster would introduce

redundancy and complexity. Option B is incorrect because having one cluster manager for each site

would create separate clusters, not a multisite cluster. Option D is incorrect because having two

cluster managers for each site would be unnecessary and inefficient12

1: https://docs.splunk.com/Documentation/Splunk/9.1.2/Indexer/Multisiteoverview 2:

https://docs.splunk.com/Documentation/Splunk/9.1.2/Indexer/Clustermanageroverview

The captain is the search head cluster component that is responsible for pushing knowledge bundles

to search peers, replicating configuration changes to search head cluster members, and scheduling

jobs across the search head cluster. The captain is elected from among the search head cluster

members and performs these tasks in addition to serving search requests. The master is the indexer

cluster component that is responsible for managing the replication and availability of data across the

peer nodes. The deployer is the standalone instance that is responsible for distributing apps and

other configurations to the search head cluster members. The deployment server is the instance that

is responsible for distributing apps and other configurations to the deployment clients, such as

forwarders