SPLK-1003 Splunk Enterprise Certified Admin Questions and Answers

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.

https://docs.splunk.com/Documentation/Splunk/8.0.1/Troubleshooting/Usebtooltotroubleshootconfigurations

"The btool command simulates the merging process using the on-disk conf files and creates a report showing the merged settings."

"The report does not necessarily represent what's loaded in memory. If a conf file change is made that requires a service restart, the btool report shows the change even though that change isn't active."

curl “https://mysplunkserver.example.com:8088/services/collector” \ -H “Authorization: Splunk DF4S7ZE4-3GS1-8SFS-E777-0284GG91PF67” \ -d ‘{“event”: “Hello World”}, {“event”: “Hola Mundo”}, {“event”: “Hallo Welt”}’. This is the correct curl command to send multiple events through 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 command has the following components:

The URL of the HEC endpoint, which consists of the protocol (https), the hostname or IP address of the Splunk server (mysplunkserver.example.com), the port number (8088), and the service name (services/collector).

The header that contains the authorization token, which is a unique identifier that grants access to the HEC endpoint. The token is prefixed with Splunk and enclosed in quotation marks. The token value (DF4S7ZE4-3GS1-8SFS-E777-0284GG91PF67) is an example and should be replaced with your own token value.

The data payload that contains the events to be sent, which are JSON objects enclosed in curly braces and separated by commas. Each event object has a mandatory field called event, which contains the raw data to be indexed. The event value can be a string, a number, a boolean, an array, or another JSON object. In this case, the event values are strings that say hello in different languages.

According to the Splunk documentation1, to manually specify a character set for an input, you need to set the CHARSET key in the props.conf file. You can specify the character set by host, source, or sourcetype, but not by index.

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

Quoting the following Splunk URL reference https://docs.splunk.com/Documentation/Splunk/8.2.2/DMC/DMCprerequisites "Monitoring Console setup prerequisites. Forward internal logs (both $SPLUNK_HOME/car/log/splunk and $SPLUNK_HOME/var/log/introspection) to indexers from all other components. Without this step, many dashboards will lack data."

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

-Scroll down to source =

*Default: the input file path

 The setting that allows the configuration of Splunk to allow events to span over more than one line is SHOULD_LINEMERGE. This setting determines whether consecutive lines from a single source should be concatenated into a single event. If SHOULD_LINEMERGE is set to true, Splunk will attempt to merge multiple lines into one event based on certain criteria, such as timestamps or regular expressions. Therefore, option A is the correct answer. References: Splunk Enterprise Certified Admin | Splunk, [Configure event line merging - Splunk Documentation]

A bucket is the object that stores events inside of an index. According to the Splunk documentation1, “An index is a collection of directories, also called buckets, that contain index files. Each bucket represents a specific time range.” A bucket can be in one of several states, such as hot, warm, cold, frozen, or thawed1. Buckets are managed by indexers or clusters of indexers1.

"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

The correct answer is D. No, because the event time is greater than the retention time.

According to the Splunk documentation1, the frozenTimePeriodInSecs setting in indexes.conf determines how long Splunk software retains indexed data before deleting it or archiving it to a remote storage. The default value is 188697600 seconds, which is equivalent to six years. The setting can be overridden on a per-index basis.

In this case, the cat_facts index has a frozenTimePeriodInSecs setting of 2630000 seconds, which is equivalent to about 30 days. This means that any event that is older than 30 days from the current time will be removed from the index and will not be searchable.

The event timestamp was 3739283 seconds ago, which is equivalent to about 43 days. This means that the event is older than the retention time of the cat_facts index and will not be searchable.

The other settings in the stanza, such as maxHotSpanSecs and maxTota1DataSizeMB, do not affect the retention time of the events. They only affect the size and duration of the buckets that store the events.

https://docs.splunk.com/Documentation/Splunk/8.0.5/Forwarding/Forwarddatatothird-partysystemsd

"You can specify a SEDCMD configuration in props.conf to address data that contains characters that the third-party server cannot process. "

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

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.

When using a directory monitor input, specific source types can be selectively overridden using the props.conf file. According to the Splunk documentation1, “You can specify a source type for data based on its input and source. Specify source type for an input. You can assign the source type for data coming from a specific input, such as /var/log/. If you use Splunk Cloud Platform, use Splunk Web to define source types. If you use Splunk Enterprise, define source types in Splunk Web or by editing the inputs.conf configuration file.” However, this method is not very granular and assigns the same source type to all data from an input. To override the source type on a per-event basis, you need to use the props.conf file and the transforms.conf file2. The props.conf file contains settings that determine how the Splunk platform processes incoming data, such as how to segment events, extract fields, and assign source types2. The transforms.conf file contains settings that modify or filter event dataduring indexing or search time2. You can use these files to create rules that match specific patterns in the event data and assign different source types accordingly2. For example, you can create a rule that assigns a source type of apache_error to any event that contains the word “error” in the first line2.

Splunk checks role-to-group mapping only during user login for external authentication (e.g., LDAP, SAML). Users already logged in will continue using their previously assigned roles until they log out and log back in.

The changes to role mapping do not disrupt ongoing sessions.

Incorrect Options:

B:Search is not disabled upon role updates.

C:This is incorrect since existing users are also updated upon the next login.

D:Role updates do not terminate ongoing sessions.

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.

According to the Splunk documentation1, a heavy forwarder is a Splunk Enterprise instance that can parse and filter data before forwarding it to an indexer. A heavy forwarder can perform line breaking,which is the process of splitting incoming data into individual events based on a set of rules2. A heavy forwarder can also apply other transformations to the data, such as field extractions, event type matching, or masking sensitive data3.

In Splunk Enterprise and Splunk Universal Forwarder, data inputs are configured using stanzas in inputs.conf. Each stanza defines a listener for a particular input type (for example, TCP or UDP) and a specific port.

Splunk documentation states that a single TCP input stanza can receive data from multiple remote hosts sending to the same TCP port, and similarly, a single UDP input stanza can receive data from multiple devices sending to the same UDP port. Therefore, the number of sending devices does not determine the number of stanzas required; rather, the input protocol and port type do.

In this case:

All three TCP devices can send data to one TCP port (one stanza).

All four UDP devices can send data to one UDP port (one stanza).

Thus, the minimum number of input stanzas required is two — one for TCP and one for UDP.

Example configuration (inputs.conf):

# TCP input for three switches sending via TCP

[tcp://9997]

sourcetype = switch_logs

# UDP input for four switches sending via UDP

[udp://514]

sourcetype = switch_logs

This configuration ensures all seven devices’ logs are collected without creating individual stanzas for each device.

Reference (Splunk Documentation):

Splunk® Enterprise Admin Manual → Configure Data Inputs → “Listen for network data”

inputs.conf.spec and example → “You can configure a single TCP or UDP input to receive data from multiple remote hosts.”

Splunk Universal Forwarder Manual → Configure Forwarding Inputs → “Universal Forwarders can listen on a single TCP or UDP port for multiple remote data sources.”

To remove a search peer from a search head in a distributed search environment using the CLI, Splunk provides the splunk remove search-server command. This command is executed on the search head and removes the specified search peer from its configuration.

The correct syntax for this command is:

splunk remove search-server -auth : :

Where:

: are the credentials for the search head.

: specifies the management port of the search peer to be removed.

For example:

bash

CopyEdit

splunk remove search-server -auth admin:password 123.45.67.89:8089

This command removes the search peer from the search head's configuration. It's important to note that this action does not affect the search peer itself; it merely removes the association from the search head.

homePath = $SPLUNK_DB/hatchdb/db

coldPath = $SPLUNK_DB/hatchdb/colddb

thawedPath = $SPLUNK_DB/hatchdb/thaweddb

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

https://docs.splunk.com/Documentation/Splunk/7.3.1/Admin/Indexesconf#PER_INDEX_OPTIONS

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

The correct answer is D. Place both props . conf and transforms . conf on the Heavy Forwarder for source A, and place both props . conf and transforms . conf on the indexer for source B.

According to the Splunk documentation1, to mask sensitive data from raw events, you need to use the SEDCMD attribute in the props.conf file and the REGEX attribute in the transforms.conf file. The SEDCMD attribute applies a sed expression to the raw data before indexing, while the REGEX attribute defines a regular expression to match the data to bemasked.You need to place these files on the Splunk instance that parses the data, which isusually the indexer or the heavy forwarder2. The universal forwarder does not parse the data, so it does not need these files.

For source A, the data is routed through a heavy forwarder, which can parse the data before sending it to the indexer. Therefore, you need to place both props.conf and transforms.conf on the heavy forwarder for source A, so that the masking takes place before indexing.

For source B, the data is routed directly to the indexer, which parses and indexes the data. Therefore, you need to place both props.conf and transforms.conf on the indexer for source B, so that the masking takes place before indexing.

"Where to place the scripts for scripted inputs. The script that you refer to in $SCRIPT can reside in only one of the following places on the host file system:

$SPLUNK_HOME/etc/system/bin

$SPLUNK_HOME/etc/apps//bin

$SPLUNK_HOME/bin/scripts

As a best practice, put your script in the bin/ directory that is nearest to the inputs.conf file that calls your script on the host file system."

URLhttps://docs.splunk.com/Documentation/Splunk/8.2.2/DistSearch/Configuredistributedsearch

"To activate distributed search, you add search peers, or indexers, to a Splunk Enterprise instance that you desingate as a search head. You do this by specifying each search peer manually."

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/8.1.1/DistSearch/Forwardsearchheaddata

Per the provided Splunk reference URL by @hwangho, scroll to section Forward search head data, subsection titled, 2. Configure the search head as a forwarder. "Create an outputs.conf file on the search head that configures the search head for load-balanced forwarding across the set of search peers (indexers)."

Adding further clarity and quoting same Splunk reference URL from @giubal"

"To keep configuration settings consistent across peer nodes, configuration files are managed from the cluster master, which pushes the files to the slave-app directories on the peer nodes. Files in the slave-app directories have the highest precedence in a cluster peer's configuration. Here is the expanded precedence order for cluster peers:

1.Slave-app local directories -- highest priority

2. System local directory

3. App local directories

4. Slave-app default directories

5. App default directories

6. System default directory --lowest priority

https://docs.splunk.com/Documentation/Splunk/8.2.2/Updating/Aboutdeploymentserver

"The deployment server is the tool for distributing configurations, apps, and content updates to groups of Splunk Enterprise instances."

https://docs.splunk.com/Documentation/Splunk/8.0.4/Admin/Propsconf#props.conf.spec

https://docs.splunk.com/Documentation/Splunk/8.1.1/Admin/Propsconf

"* Reuse of the same field-extracting regular expression across multiple sources, source types, or hosts."https://docs.splunk.com/Documentation/Splunk/8.0.4/Admin/Propsconf#props.conf.spec

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

To verify the integrity of a local bucket. The command ./splunk check-integrity -bucketPath [bucket path] [-verbose] is used to verify the integrity of a local bucket by comparing the hashes stored in the l1Hashes and l2Hash files with the actual data in the bucket1. This command can help detect any tampering or corruption of the data.

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

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

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/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

The correct answer is C. /var/log/host_460352847/bar/file/foo.txt.

The monitor stanza in inputs.conf is used to configure Splunk to monitor files and directories for new data. The monitor stanza has the following syntax1:

[monitor://]

The input path can be a file or a directory, and it can include wildcards (*) and regular expressions. The wildcards match any number of characters, including none, while the regular expressions match patterns of characters. The input path is case-sensitive and must be enclosed in double quotes if it contains spaces1.

In this case, the input path is /var/log//bar/.txt, which means Splunk will monitor any file with the .txt extension that is located in a subdirectory named bar under the /var/log directory. The subdirectory bar can be at any level under the /var/log directory, and the * wildcard will match any characters before or after the bar and .txt parts1.

Therefore, the file /var/log/host_460352847/bar/file/foo.txt will be matched by the monitor stanza, as it meets the criteria. The other files will not be matched, because:

A. /var/log/host_460352847/temp/bar/file/csv/foo.txt has a .csv extension, not a .txt extension.

B. /var/log/host_460352847/bar/foo.txt is not located in a subdirectory under the bar directory, but directly in the bar directory.

D. /var/log/host_460352847/temp/bar/file/foo.txt is located in a subdirectory named file under the bar directory, not directly in the bar directory.

SAML is an open standard for exchanging authentication and authorization data between parties, especially between an identity provider and a service provider1. SAML supports multi-factor authentication by allowing the identity provider to require the user to present two or more factors of evidence to prove their identity2. For example, the user may need to enter a password and a one-time code sent to their phone, or scan their fingerprint and face.

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

- Section: About channels and sending data

Sending events to HEC with indexer acknowledgment active is similar to sending them with the setting off. There is one crucial difference: when you have indexer acknowledgment turned on, you must specify a channel when you send events. The concept of a channel was introduced in HEC primarily to prevent a fast client from impeding the performance of a slow client. When you assign one channel per client, because channels are treated equally on Splunk Enterprise, one client can't affect another. You must include a matching channel identifier both when sending data to HEC in an HTTP request and when requesting acknowledgment that events contained in the request have been indexed. If you don't, you will receive the error message, "Data channel is missing." Each request that includes a token for which indexer acknowledgment has been enabled must include a channel identifier, as shown in the following example cURL statement, where represents the event data portion of the request

The correct answer is C and D. A heavy forwarder and an indexer are the Splunk components that can break a stream of syslog inputs into individual events.

A universal forwarder is a lightweight agent that can forward data to a Splunk deployment, but it does not perform any parsing or indexing on the data. A search head is a Splunk component that handles search requests and distributes them to indexers, but it does not process incoming data.

A heavy forwarder is a Splunk component that can perform parsing, filtering, routing, and aggregation on the data before forwarding it to indexers or other destinations. A heavy forwarder can break a stream of syslog inputs into individual events based on the line breaker and should linemerge settings in the inputs.conf file1.

An indexer is a Splunk component that stores and indexes data, making it searchable. An indexer can also break a stream of syslog inputs into individual events based on the props.conf file settings, such as TIME_FORMAT, MAX_TIMESTAMP_LOOKAHEAD, and line_breaker2.

A Splunk component is a software process that performs a specific function in a Splunk deployment, such as data collection, data processing, data storage, data search, or data visualization.

Syslog is a standard protocol for logging messages from network devices, such as routers, switches, firewalls, or servers. Syslog messages are typically sent over UDP or TCP to a central syslog server or a Splunk instance.

Breaking a stream of syslog inputs into individual events means separating the data into discrete records that can be indexed and searched by Splunk. Each event should have a timestamp, a host, a source, and a sourcetype, which are the default fields that Splunk assigns to the data.

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

The indexing pipeline and the parsing pipeline are the two pipelines that are responsible for transforming the raw data into events and preparing them for indexing. The indexing pipeline applies index-time settings, such as timestamp extraction, line breaking, host extraction, and source type recognition. The parsing pipeline applies parsing settings, such as field extraction, event segmentation, and event annotation.

The failOpen setting in the [duoMFA] stanza determines how Splunk software handles authentication requests when it cannot connect to the Duo Security service. If failOpen is set to True, as in this example, Splunk software allows users to log in without completing a multifactor challenge. If failOpen is set to False, Splunk software denies all logins when it cannot connect to Duo Security. This setting is independent of the authentication type or the secretKey protection. References = Connect to Duo Security for multifactor authentication

The correct answer is C. On Deployment Server, $SPLUNK_HOME/etc/deployment-apps.

A deployment server is a Splunk Enterprise instance that acts as a centralized configuration manager for any number of other instances, called “deployment clients”. A deployment client can be a universal forwarder, a non-clustered indexer, or a search head1.

A deployment app is a directory that contains any content that you want to download to a set of deployment clients. The content can include a Splunk Enterprise app, a set of Splunk Enterprise configurations, or other content, such as scripts, images, and supporting files2.

You create a deployment app by creating a directory for it on the deployment server. The default location is $SPLUNK_HOME/etc/deployment-apps, but this is configurable through the repositoryLocation attribute in serverclass.conf. Underneath this location, each app must have its own subdirectory. The name of the subdirectory serves as the app name in the forwarder management interface2.

The other options are incorrect because:

A. On Universal Forwarder, $SPLUNK_HOME/etc/apps. This is the location where the deployment app resides after it is downloaded from the deployment server to the universal forwarder. It is not the location of the app before it is deployed2.

B. On Deployment Server, $SPLUNK_HOME/etc/apps. This is the location where the apps that are specific to the deployment server itself reside. It is not the location where the deployment apps for the clients are stored2.

D. On Universal Forwarder, $SPLUNK_HOME/etc/deployment-apps. This is not a valid location for any app on a universal forwarder. The universal forwarder does not act as a deployment server and does not store deployment apps3.

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.