IgnoreOlderThan:This setting filters files for indexing based on their age. It does not prevent indexing of old data already in the file.

allowList:This setting allows specifying patterns to include files for monitoring, but it does not control indexing of pre-existing data.

monitor:This is the default method for monitoring files but does not address indexing pre-existing data.

followTail:This attribute, when set in inputs.conf, ensures that Splunk starts reading a file from the end (tail) and does not index existing old data. It is ideal for scenarios with large files where only new updates are relevant.

"When ingesting event data, the measured data volume is based on the new raw data that is placed into the indexing pipeline. Because the data is measured at the indexing pipeline, data that is filetered and dropped prior to indexing does not count against the license volume qota."

https://docs.splunk.com/Documentation/Splunk/8.0.6/Admin/HowSplunklicensingworks

When there are conflicting settings within two or more configuration files, the setting with the highest precedence is used. The precedence of configuration files is determined by a combination of the file type, the directory location, and the alphabetical order of the file names.

In Splunk Enterprise, when you configure the server.conf file with strict pool quota=false, it means that license pools are allowed to share the total available license quota rather than being restricted to their individually allocated quotas. However, this does not prevent pools from issuing warnings if they exceed their allocated limits.

Given the environment with a 1000 GB/day license split into three pools:

Pool X: 500 GB/day license, 100 GB used

Pool Y: 350 GB/day license, 400 GB used

Pool Z: 150 GB/day license, 300 GB used

Let's analyze the usage:

Pool X is allocated 500 GB/day but has only used 100 GB, well within its limit.

Pool Y is allocated 350 GB/day but has used 400 GB, which exceeds its limit by 50 GB.

Pool Z is allocated 150 GB/day but has used 300 GB, which exceeds its limit by 150 GB.

Even with strict pool quota=false, pools Y and Z have exceeded their individual allocated quotas and will issue warnings. Pool X has not exceeded its quota and thus will not issue any warnings. Therefore, the pools that are issued warnings are Y and Z.

The coldPath parameter defines the path for the cold buckets, which are the oldest and least frequently accessed data in an index1. By setting the coldPath to point to the NAS mount point, the Splunk administrator can achieve the retention strategy of having older data on slower NAS storage.

https://docs.splunk.com/Documentation/Splunk/8.0.5/Deploy/Datapipeline

"In the input segment, Splunk software consumes data. It acquires the raw data stream from its source, breaks in into 64K blocks, and annotates each block with some metadata keys."

When a user is assignedmultiple rolesin Splunk and each has a defined srchFilter, Splunk combines these filters using alogical ANDoperation. This ensures that the user can only search within the intersection of constraints imposed by each role.

From Splunk Docs:

"If a user has multiple roles assigned and multiple roles specify srchFilter, Splunk softwareANDs the filters together."

— Source: Splunk Documentation – authorize.conf

Let’s break it down:

role_A specifies: sourcetype!=json AND index=main

role_B specifies: sourcetype=csv

To evaluate the effective search filter for the user, Splunk willANDthe two conditions:

(sourcetype=csv) AND (sourcetype!=json AND index=main)

This means the user's search is limited to events where:

sourcetype=csv (from role_B)

sourcetype!=json AND index=main (from role_A)

Combining them together logically:

srchFilter = ((sourcetype=csv) AND (sourcetype!=json AND index=main))

This is exactly what is shown inOption A.

https://docs.splunk.com/Documentation/Splunk/latest/Forwarding/Typesofforwarders

"A heavy forwarder parses data before forwarding it and can route data based on criteria such as source or type of event."

Search-time field extractions are the process of extracting fields from events after they are indexed. Search-time field extractions are specified on the search head, which is the Splunk component that handles searching and reporting. Search-time field extractions are configured in props.conf and transforms.conf files, which are located in the etc/system/local directory on the search head. Therefore, option D is the correct answer. References: Splunk Enterprise Certified Admin | Splunk, [About fields - Splunk Documentation]

https://docs.splunk.com/Documentation/Splunk/latest/Forwarding/Protectagainstlossofin-flightdata#:~:text=The%20default%20for%20the%20maxQueueSize,wait%20queue%20size%20is%2021MB.

https://docs.splunk.com/Documentation/Splunk/latest/Forwarding/Protectagainstlossofin-flightdata

Splunk uses alayered configuration modelwhere settings are loaded in a specific order. This order determines which configuration takes precedence when multiple settings conflict. Atindex time(the point when data is parsed and indexed), the configuration precedence is clearly defined in the official documentation.

FromSplunk Docs(props.conf precedence):

Configuration file resolution order (highest to lowest precedence):

$SPLUNK_HOME/etc/users///local

$SPLUNK_HOME/etc/apps//local

$SPLUNK_HOME/etc/apps//default

$SPLUNK_HOME/etc/system/local

$SPLUNK_HOME/etc/system/default

However, forindex-time configurations, a slight difference applies:

system/local and users/local areoften treated specially, butin practice and according to Splunk Docs, thesystem/localconfigs override apps/default, and so on.

InOption C, the correct precedence fromhighest to lowestis:

/etc/users/local (Highest)

/etc/system/default

/etc/apps/aaa/local

/etc/apps/zzz/default

/etc/system/local (Lowest of these listed)

Though system/local typically has high precedence,when users/local is involved, that is the ultimate override. Splunk Docs confirms this in:

Configuration file precedence

Configuration layering reference

Therefore, Option C reflects the correct Splunk configuration file precedence order at index time.

Splunk REST API is a valid method to create a Splunk user. The Splunk REST API allows administrators to create, edit, and delete users programmatically using HTTP requests. The other options are not valid methods to create a Splunk user. Creating a support ticket does not create a user, but requests assistance from Splunk support. Creating a user on the host operating system does not create a Splunk user, but a system user. Adding the username to users.conf does not create a user, but modifies the configuration file that stores user information. References = Configure users with the CLI, Configure users and roles

https://docs.splunk.com/Documentation/Splunk/latest/Data/Monitornetworkports

When configuring multiple LDAP strategies in Splunk, the order in which they are listed in the authentication.conf file determines the sequence in which Splunk searches them during authentication.

From the official Splunk documentation:

"To configure multiple LDAP strategies, set the authSettings setting to a comma-separated list of all strategies, in the order in which you want to query the strategies."

— Configure LDAP using configuration files - Splunk Documentation

Therefore, Splunk will search each LDAP strategy in the order specified in the authSettings parameter of the authentication.conf file.

https://docs.splunk.com/Documentation/Splunk/latest/Admin/Outputsconf

# Compression

#

# This example sends compressed events to the remote indexer.

# NOTE: Compression can be enabled TCP or SSL outputs only.

# The receiver input port should also have compression enabled.

[tcpout]

server = splunkServer.example.com:4433

compressed = true

https://docs.splunk.com/Documentation/Splunk/8.2.2/Data/UsetheHTTPEventCollector

"The HTTP Event Collector (HEC) lets you send data and application events to a Splunk deployment over the HTTP and Secure HTTP (HTTPS) protocols. HEC uses a token-based authentication model. You can generate a token and then configure a logging library or HTTP client with the token to send data to HEC in a specific format. This process eliminates the need for a Splunk forwarder when you send application events."

Users log on to the search head and run reports: – The search head dispatches searches to the peers – Peers run searches in parallel and return their portion of results – The search head consolidates the individual results and prepares reports

https://docs.splunk.com/Documentation/Splunk/latest/Security/Aboutusersandroles#Role_inheritance

https://docs.splunk.com/Documentation/Splunk/7.3.1/Security/Aboutusersandroles#How_users_inherit_capabilities

https://docs.splunk.com/Documentation/Splunk/8.2.2/Data/Anonymizedata

Scrolling down to the section titled "Define the sed script in props.conf shows the correct syntax of an example which validates that the number/character /1 immediately preceded the /g

https://docs.splunk.com/Documentation/Splunk/8.2.2/Knowledge/Usedefaultfields splunk_server

The splunk server field contains the name of the Splunk server containing the event. Useful in a distributed Splunk environment. Example: Restrict a search to the main index on a server named remote. splunk_server=remote index=main 404

https://docs.splunk.com/Documentation/Splunk/8.0.4/Data/Whitelistorblacklistspecificincomingdata

"It is not necessary to define both an allow list and a deny list in a configuration stanza. The settings are independent. If you do define both filters and a file matches them both, Splunk Enterprise does not index that file, as the blacklist filter overrides the whitelist filter." Source:https://docs.splunk.com/Documentation/Splunk/8.1.0/Data/Whitelistorblacklistspecificincomingdata

The Data Preview feature should be used when validating the parsing of data. The Data Preview feature allows you to preview how Splunk software will index your data before you commit the data to an index. You can use the Data Preview feature to check the following aspects of data parsing1:

Timestamp recognition: You can verify that Splunk software correctly identifies the timestamps of your events and assigns them to the _time field.

Event breaking: You can verify that Splunk software correctly breaks your data stream into individual events based on the line breaker and should linemerge settings.

Source type assignment: You can verify that Splunk software correctly assigns a source type to your data based on the props.conf file settings. You can also manually override the source type if needed.

Field extraction: You can verify that Splunk software correctly extracts fields from your events based on the transforms.conf file settings. You can also use the Interactive Field Extractor (IFX) to create custom field extractions.

The Data Preview feature is available in Splunk Web under Settings > Data inputs > Data preview. You can access the Data Preview feature when you add a new input or edit an existing input1.

The other options are incorrect because:

A. When extracting fields for ingested data. The Data Preview feature can be used to verify the field extraction for data that has not been ingested yet, but not for data that has already been indexed. To extract fields from ingested data, you can use the IFX or the rex command in the Search app2.

B. When previewing the data before searching. The Data Preview feature does not allow you to search the data, but only to view how it will be indexed. To preview the data before searching, you can use the Search app and specify a time range or a sample ratio.

C. When reviewing data on the source host. The Data Preview feature does not access the data on the source host, but only the data that has been uploaded or monitored by Splunk software. To review data on the source host, you can use the Splunk Universal Forwarder or the Splunk Add-on for Unix and Linux.

https://docs.splunk.com/Documentation/Splunk/8.2.2/DistSearch/Whatisdistributedsearch

Parallel reduce search processing If you struggle with extremely large high-cardinality searches, you might be able to apply parallel reduce processing to them to help them complete faster. You must have a distributed search environment to use parallel reduce search processing.

Referencehttps://docs.splunk.com/Documentation/Splunk/8.2.3/Admin/Configurationparametersandthedatapipeline

 The parsing phase is the process of extracting fields and values from raw data. The parsing phase respects LINE_BREAKER, SHOULD_LINEMERGE, BREAK_ONLY_BEFORE_DATE, and all other line merging settings in props.conf. These settings determine how Splunk breaks the data into events based on certain criteria, such as timestamps or regular expressions. The event boundaries are defined by the props.conf file, which can be modified by the administrator. Therefore, the parsing phase is the last opportunity for defining event boundaries.

https://docs.splunk.com/Documentation/Splunk/latest/Data/Configureeventlinebreaking

Attribute : SHOULD_LINEMERGE = [true|false]

Description : When set to true, the Splunk platform combines several input lines into a single event, with configuration based on the settings described in the next section.

https://docs.splunk.com/Documentation/Splunk/latest/Admin/Wheretofindtheconfigurationfiles

To determine the order of directories for evaluating configuration file precedence, Splunk software considers each file's context. Configuration files operate in either a global context or in the context of the current app and user: Global. Activities like indexing take place in a global context. They are independent of any app or user. For example, configuration files that determine monitoring or indexing behavior occur outside of the app and user context and are global in nature. App/user. Some activities, like searching, take place in an app or user context. The app and user context is vital to search-time processing, where certain knowledge objects or actions might be valid only for specific users in specific apps.

Immediately after installation, a universal forwarder will start generating internal Splunk logs that contain information about its own operation, such as configuration changes, data inputs, and forwarding activities1. These logs are stored in the $SPLUNK_HOME/var/log/splunk directory on the universal forwarder machine1. The universal forwarder will not automatically detect any indexers in its subnet and begin routing data, as it needs to be configured with the IP address and port number of the indexer or the deployment server2. The universal forwarder will not begin reading local files on its server, as it needs to beconfigured with the data inputs that specify which files or directories to monitor2. The universal forwarder will not send an email to the operator that the installation process has completed, as this is not a default behavior of the universal forwarder and would require additional configuration3.

Using the Splunk reference URLhttps://docs.splunk.com/Splexicon:Searchpeer

"search peer is a splunk platform instance that responds to search requests from a search head. The term "search peer" is usally synonymous with the indexer role in a distributed search topology. However, other instance types also have access to indexed data, particularly internal diagnostic data, and thus function as search peers when they respond to search requests for that data."

You can have a role inherit certain properties from one or more existing rolehttps://docs.splunk.com/Documentation/Splunk/8.0.5/Security/Aboutusersandroles

https://docs.splunk.com/Documentation/Splunk/8.2.2/Data/Configureyourinputs

Add your data to Splunk Enterprise. With Splunk Enterprise, you can add data using Splunk Web or Splunk Apps. In addition to these methods, you also can use the following methods. -The Splunk Command Line Interface (CLI) -The inputs.conf configuration file. When you specify your inputs with Splunk Web or the CLI, the details are saved in a configuartion file on Splunk Enterprise indexer and heavy forwarder instances.

https://docs.splunk.com/Documentation/Forwarder/8.0.5/Forwarder/Configuretheuniversalforwarder

--Key configuration files are: inputs.conf controls how the forwarder collects data. outputs.conf controls how the forwarder sends data to an indexer or other forwarder server.conf for connection and performance tuning deploymentclient.conf for connecting to a deployment server

Set the stanza to have a server value equal to a comma-separated list of IP addresses and indexer ports for each of the indexers in the environment. This is explained in the Splunk documentation1, which states:

To enable automatic load balancing, set the stanza to have a server value equal to a comma-separated list of IP addresses and indexer ports for each of the indexers in the environment. For example:

[tcpout] server=10.1.1.1:9997,10.1.1.2:9997,10.1.1.3:9997

The forwarder then distributes data across all of the indexers in the list.

Data integrity controls in Splunk ensure that indexed data has not been tampered with.

When enabled, Splunk calculates hashes for each bucket and stores these hash files in the rawdata directory of the corresponding bucket.

Incorrect Options:

A, C, D:These directories do not store hash files.

https://docs.splunk.com/Documentation/Splunk/8.0.5/Updating/Updateconfigurations First line says it all: "The deployment server distributes deployment apps to clients."

According to the Splunk system admin course PDF, When adding native users, Username and Password ARE REQUIRED

The correct answer is C. Distributed search is the feature that allows search heads in a company’s European offices to search data in their New York offices. Distributed search also enables restricting access to certain indexers by using the splunk_server field or the server.conf file1.

Distributed search is a way to scale your Splunk deployment by separating the search management and presentation layer from the indexing and search retrieval layer. With distributed search, a Splunk instance called a search head sends search requests to a group of indexers, or search peers, which perform the actual searches on their indexes. The search head then merges the results back to the user2.

Distributed search has several use cases, such as horizontal scaling, access control, and managing geo-dispersed data. For example, users in different offices can search data across the enterprise or only in their local area, depending on their needs and permissions2.

The other options are incorrect because:

A. Indexer clustering is a feature that replicates data across a group of indexers to ensure data availability and recovery. Indexer clustering does not directly affect distributed search, although search heads can be configured to search across an indexer cluster3.

B. LDAP control is a feature that allows Splunk to integrate with an external LDAP directory service for user authentication and role mapping. LDAP control does not affect distributed search, although it can be used to manage user access to data and searches.

D. Search head clustering is a feature that distributes the search workload across a group of search heads that share resources, configurations, and jobs. Search head clustering does not affect distributed search, although the search heads in a cluster can search across the same set of indexers.

When creating new user roles in Splunk, it's recommended to define roles that incorporate the necessary capabilities and index access permissions. This approach allows for granular control over user access and aligns with best practices for role-based access control.

"You can create custom roles and assign those roles to your users. Custom roles let you make granular adjustments to user access, including... Role inheritance... Capabilities... Allowed and default indexes..."

— About configuring role-based user access -

By creating roles that incorporate both capabilities and index access, administrators can efficiently manage user permissions and maintain a secure Splunk environment.

https://docs.splunk.com/Splexicon:Serverclass

https://docs.splunk.com/Documentation/Splunk/8.1.1/Knowledge/Configureadvancedextractionswithfieldtransforms

use transformations with props.conf and transforms.conf to:

– Mask or delete raw data as it is being indexed

–Override sourcetype or host based upon event values

– Route events to specific indexes based on event content

– Prevent unwanted events from being indexed

The Splunk indexing process consists of three main phases: Input, Parsing, and Indexing. Understanding these phases is crucial for configuring data inputs and managing data flow within Splunk.

Input Phase: Splunk receives data from various sources, such as files, network ports, or scripted inputs.

Parsing Phase: Splunk breaks the data into individual events, applies transformations, and extracts timestamps.

Indexing Phase: Splunk writes the parsed events to disk and creates indexes for efficient searching.

From the official Splunk documentation:

"The data pipeline consists of three main phases: input, parsing, and indexing."

— How the Splunk platform indexes data - Splunk Documentation

Therefore, the correct order of the indexing process is: Input phase → Parsing phase → Indexing phase.

 Indexers, search head, deployment server, license master, universal forwarder. This is the combination of Splunk component instances that are needed to handle the volume of data from collecting log files from 50 Linux servers and 200 Windows servers, following the best practices. The roles and functions of these components are:

Indexers: These are the Splunk instances that index the data and make it searchable. They also perform some data processing, such as timestamp extraction, line breaking, and field extraction. Multiple indexers can be clustered together to provide high availability, data replication, and load balancing.

Search head: This is the Splunk instance that coordinates the search across the indexers and merges the results from them. It also provides the user interface for searching, reporting, and dashboarding. A search head can also be clustered with other search heads to provide high availability, scalability, and load balancing.

Deployment server: This is the Splunk instance that manages the configuration and app deployment for the universal forwarders. It allows the administrator to centrally control the inputs.conf, outputs.conf, and other configuration files for the forwarders, as well as distribute apps and updates to them.

License master: This is the Splunk instance that manages the licensing for the entire Splunk deployment. It tracks the license usage of all the Splunk instances and enforces the license limits and violations. It also allows the administrator to add, remove, or change licenses.

Universal forwarder: These are the lightweight Splunk instances that collect data from various sources and forward it to the indexers or other forwarders. They do not index or parse the data, but only perform minimal processing, such as compression and encryption. They are installed on the Linux and Windows servers that generate the log files.

The CLI command "Splunk add forward-server indexer:" is used to define the indexer and the listening port on forwards. The command creates this kind of entry "[tcpout-server://:]" in the outputs.conf file.

https://docs.splunk.com/Documentation/Forwarder/8.2.2/Forwarder/Configureforwardingwithoutputs.conf

https://docs.splunk.com/Documentation/Splunk/8.2.2/Admin/Inputsconf

-Scroll down to source =

*Default: the input file path

This is the endpoint URI used to collect data using the HTTP Event Collector (HEC), which is a token-based API that allows you to send data to Splunk Enterprise from any application that can make an HTTP request. The endpoint URI consists of the protocol (http or https), the hostname or IP address of the Splunk server, the port number (default is 8088), and the service name (services/collector). For example:

https://mysplunkserver.example.com:8088/services/collector