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Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Admin/
Configurationparametersandthedatapipeline

According to the Splunk documentation1, a bucket within a clustered index contains two key types of files:
the raw data in compressed form (rawdata) and the indexes that point to the raw data (tsidx files). A bucket can be either replicated or searchable, depending on whether it has both types of files or only the rawdata file.
A replicated bucket is a bucket that has been copied from one peer node to another for the purpose of data replication. A searchable bucket is a bucket that has both the rawdata and the tsidx files, and can be searched by the search heads. The types of files that exist in a bucket within a clustered index are:
* Inside a searchable bucket, there is tsidx and rawdata. This is true because a searchable bucket contains both the data and the index files, and can be searched by the search heads1.
* Inside a replicated bucket, there is both tsidx and rawdata. This is true because a replicated bucket can also be a searchable bucket, if it has both the data and the index files. However, not all replicated buckets are searchable, as some of them might only have the rawdata file, depending on the replication factor and the search factor settings1.
The other options are false because:
* Inside a replicated bucket, there is only rawdata. This is false because a replicated bucket can also have the tsidx file, if it is a searchable bucket. A replicated bucket only has the rawdata file if it is a non- searchable bucket, which means that it cannot be searched by the search heads until it gets the tsidx file from another peer node1.
* Inside a searchable bucket, there is only tsidx. This is false because a searchable bucket always has both the tsidx and the rawdata files, as they are both required for searching the data. A searchable bucket cannot exist without the rawdata file, as it contains the actual data that the tsidx file points to1.

The splunk_instrumentation.log file is the least helpful in troubleshooting a crash, because it contains information about the Splunk Instrumentation feature, which collects and sends usage data to Splunk Inc. for product improvement purposes. This file does not contain any information about the Splunk processes, errors, or crashes. The other options are more helpful in troubleshooting a crash, because they contain relevant information about the Splunk daemon, the standard error output, and the crash report12
1: https://docs.splunk.com/Documentation/Splunk/9.1.2/Troubleshooting
/WhatSplunklogsaboutitself#splunk_instrumentation.log 2: https://docs.splunk.com/Documentation/Splunk/9.
1.2/Troubleshooting/WhatSplunklogsaboutitself#splunkd_stderr.log

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.

Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.1/Data/ Troubleshoottheinputprocess#Troubleshoot_your_tailed_files

Explanation
Migration from single-site to multisite index replication only affects new data, not existing data. Multisite policies apply to new data only, meaning that data that is ingested after the migration will follow the multisite replication and search factors. Existing data, or data that was ingested before the migration, will retain the single-site policies, unless they are manually converted to multisite buckets. Single-site buckets do not instantly receive the multisite policies, nor do they automatically convert to multisite buckets. Multisite total values can exceed any single-site factors, as long as they do not exceed the number of peer nodes in the cluster. A master node is not required at each site, only one master node is needed for the entire cluster

The average run time of all searches increases as the number of CPU cores on the indexers decreases. The CPU cores are the processing units that execute the instructions and calculations for the data. The number of CPU cores on the indexers affects the search performance, because the indexers are responsible for retrieving and filtering the data from the indexes. The more CPU cores the indexers have, the faster they can process the data and return the results. The less CPU cores the indexers have, the slower they can process the data and return the results. Therefore, the average run time of all searches is inversely proportional to the number of CPU cores on the indexers. The average run time of all searches is not independent of the number of CPU cores on the indexers, because the CPU cores are an important factor for the search performance. The average run time of all searches does not decrease as the number of CPU cores on the indexers decreases, because this would imply that the search performance improves with less CPU cores, which is not true. The average run time of all searches does not increase as the number of CPU cores on the indexers increases, because this would imply that the search performance worsens with more CPU cores, which is not true

In search head clustering, there are two methods to transfer captaincy to a different member. One method is to use the Search Head Clustering settings menu from Splunk Web on any member. This method allows the user to select a specific member to become the new captain, or to let Splunk choose the best candidate. The other method is to run the splunk transfer shcluster-captain command from the member that the user wants to become the new captain. This method requires the user to know the name of the target member and to have access to the CLI of that member. Using the Monitoring Console is not a method to transfer captaincy, because the Monitoring Console does not have the option to change the captain. Running the splunk transfer shcluster-captain command from the current captain is not a method to transfer captaincy, because this command will fail with an error message

Splunk Enterprise licensing is based on the amount of data that is ingested and indexed by the Splunk platform per day1. The data that counts against the license is the data that is stored in the indexes that are visible to the users and searchable by the Splunk software2. The indexes that are visible and searchable by default are the main index and any custom indexes that are created by the users or the apps3. The main index is the default index where Splunk Enterprise stores all data, unless otherwise specified4.
Option B is the correct answer because the data for the main index will count against the ingest-based license, as it is a visible and searchable index by default. Option A is incorrect because the summary index is a special type of index that stores the results of scheduled reports or accelerated data models, which do not count against the license. Option C is incorrect because the _metrics index is an internal index that stores metrics data about the Splunk platform performance, which does not count against the license. Option D is incorrect because the _introspection index is another internal index that stores data about the impact of the Splunk software on the host system, such as CPU, memory, disk, and network usage, which does not count against the license.
References:
1: How Splunk Enterprise licensing works – Splunk Documentation 2: What data counts against my license? – Splunk Documentation 3: [About indexes and indexers – Splunk Documentation] 4: [The main index – Splunk Documentation] : [Summary indexing – Splunk Documentation] : [About metrics indexes – Splunk Documentation] : [About the Monitoring Console – Splunk Documentation]

The Splunk deployer sends apps to the search head cluster members by default to the path etc/shcluster/< app-name>/default. The deployer is a Splunk component that distributes apps and configurations to members of a search head cluster.
Splunk’s documentation recommends placing the configuration bundle in the
$SPLUNK_HOME/etc/shcluster/apps directory on the deployer, which then gets distributed to the search head cluster members. However, it should be noted that within each app’s directory, configurations can be under default or local subdirectories, with local taking precedence over default for configurations. The reference to etc/shcluster/<app-name>/default is not a standard directory structure and might be a misunderstanding. The correct path where the deployer pushes configuration bundles is
$SPLUNK_HOME/etc/shcluster/apps

Explanation
https://docs.splunk.com/Documentation/Splunk/7.3.2/DistSearch/SHCarchitecture

According to the Splunk documentation1, determining data capacity for an index is a complex task that depends on several factors, such as:
* Average size of event data. This is the average number of bytes per event that you send to Splunk. The larger the events, the more storage space they require and the more indexing time they consume.
* Number of data sources. This is the number of different types of data that you send to Splunk, such as logs, metrics, network packets, etc. The more data sources you have, the more diverse and complex your data is, and the more processing and parsing Splunk needs to do to index it.
* Peak data rates. This is the maximum amount of data that you send to Splunk per second, minute, hour, or day. The higher the peak data rates, the more load and pressure Splunk faces to index the data in a timely manner.
The other option is false because:
* Number of concurrent searches on data. This is not a factor that affects daily indexing volume, as it is related to the search performance and the search scheduler, not the indexing process. However, it can affect the overall resource utilization and the responsiveness of Splunk2.

The index=_internal component=DC* host=<uf> search will show all deployment client messages from the universal forwarder. The component field indicates the type of Splunk component that generated the message, and the host field indicates the host name of the machine that sent the message. The index=_audit component=DC* host=<uf> search will not return any results, because the deployment client messages are not stored in the _audit index. The index=_internal component=DS* host=<ds> search will show the deployment server messages from the deployment server, not the client. The index=_audit component=DS* host=<ds> search will also not return any results, for the same reason as above

Intermediate forwarders are forwarders that receive data from other forwarders and then send that data to indexers. They can be useful in some scenarios, such as when network bandwidth or security constraints prevent direct forwarding to indexers, or when data needs to be routed, cloned, or modified in transit.
However, intermediate forwarders also introduce additional complexity and overhead to the data pipeline, which can affect the performance and reliability of data ingestion. Therefore, intermediate forwarders should be avoided when possible, and used only when there is a clear benefit or requirement for them. Some of the drawbacks of intermediate forwarders are:
* They increase the number of hops and connections in the data flow, which can introduce latency and increase the risk of data loss or corruption.
* They consume more resources on the hosts where they run, such as CPU, memory, disk, and network bandwidth, which can affect the performance of other applications or processes on those hosts.
* They require additional configuration and maintenance, such as setting up inputs, outputs, load balancing, security, monitoring, and troubleshooting.
* They can create data duplication or inconsistency if they are not configured properly, such as when using cloning or routing rules.
Some of the references that support this answer are:
* Configure an intermediate forwarder, which states: “Intermediate forwarding is where a forwarder receives data from one or more forwarders and then sends that data on to another indexer. This kind of setup is useful when, for example, you have many hosts in different geographical regions and you want to send data from those forwarders to a central host in that region before forwarding the data to an indexer. All forwarder types can act as an intermediate forwarder. However, this adds complexity to your deployment and can affect performance, so use it only when necessary.”
* Intermediate data routing using universal and heavy forwarders, which states: “This document outlines a variety of Splunk options for routing data that address both technical and business requirements.
Overall benefits Using splunkd intermediate data routing offers the following overall benefits: … The routing strategies described in this document enable flexibility for reliably processing data at scale.
Intermediate routing enables better security in event-level data as well as in transit. The following is a list of use cases and enablers for splunkd intermediate data routing: … Limitations splunkd intermediate data routing has the following limitations: … Increased complexity and resource consumption. splunkd intermediate data routing adds complexity to the data pipeline and consumes resources on the hosts where it runs. This can affect the performance and reliability of data ingestion and other applications or processes on those hosts. Therefore, intermediate routing should be avoided when possible, and used only when there is a clear benefit or requirement for it.”
* Use forwarders to get data into Splunk Enterprise, which states: “The forwarders take the Apache data and send it to your Splunk Enterprise deployment for indexing, which consolidates, stores, and makes the data available for searching. Because of their reduced resource footprint, forwarders have a minimal performance impact on the Apache servers. … Note: You can also configure a forwarder to send data to another forwarder, which then sends the data to the indexer. This is called intermediate forwarding.
However, this adds complexity to your deployment and can affect performance, so use it only when necessary.”

The correct answer is B. Set the Replication Factor based on allowed indexer failure. This is a best practice for adding data resiliency to a single-site indexer cluster, as it ensures that there are enough copies of each bucket to survive the loss of one or more indexers without affecting the searchability of the data1. The Replication Factor is the number of copies of each bucket that the cluster maintains across the set of peer nodes2. The Replication Factor should be set according to the number of indexers that can fail without compromising the cluster’s ability to serve data1. For example, if the cluster can tolerate the loss of two indexers, the Replication Factor should be set to three1.
The other options are not best practices for adding data resiliency. Option A, setting the Replication Factor to
49, is not recommended, as it would create too many copies of each bucket and consume excessive disk space and network bandwidth1. Option C, always using the default Replication Factor of 3, is not optimal, as it may not match the customer’s requirements and expectations for data availability and performance1. Option D, setting the Replication Factor based on allowed search head failure, is not relevant, as the Replication Factor does not affect the search head availability, but the searchability of the data on the indexers1. Therefore, option B is the correct answer, and options A, C, and D are incorrect.
1: Configure the replication factor 2: About indexer clusters and index replication

Splunk’s documentation on summary indexing and data-model acceleration clarifies that summary data is stored as additional indexed data on the indexers. Summary indexing produces new events-aggregations, rollups, scheduled search outputs-and stores them in summary indexes. Splunk explains that these summaries accumulate over time and require additional bucket storage, retention considerations, and sizing adjustments.
The documentation for accelerated data models further confirms that acceleration summaries are stored alongside raw data on indexers, increasing disk usage proportional to the acceleration workload. This makes summary indexing the only listed feature that strictly increases indexer storage demand.
In contrast, Search Head Clustering replicates configuration and knowledge objects across search heads-not on indexers. Indexer Discovery affects forwarder behavior, not storage. Indexer Acknowledgement controls data-delivery guarantees but does not create extra indexed content.
Therefore, only Index Summarization (summary indexing) directly increases indexer storage requirements.
References:Splunk Summary Indexing Documentation; Splunk Data Model Acceleration Guidelines; Splunk Storage and Capacity Planning Documentation.