SPLK-1003 Splunk Enterprise Certified Admin Questions and Answers

According to the Splunk documentation1, to customize a configuration file, you need to create a new file with the same name in a local or app directory. Then, add the specific settings that you want to customize to the local configuration file. Never change or copy the configuration files in the default directory. The files in the default directory must remain intact and in their original location. The Splunk Enterprise upgrade process overwrites the default directory.

To deploy configuration files to deployment clients, you need to use the deployment server. The deployment server is a Splunk Enterprise instance that distributes content and updates to deployment clients2. The deployment server uses a directory called $SPLUNK_HOME/etc/deployment-apps to store the apps and configuration files that itdeploys to clients2. To update the configuration files in this directory, you need to edit them manually and then run the command $SPLUNK_HOME/bin/sp1unk reload deploy—server to make the changes take effect2.

Therefore, option A is incorrect because it does not include the reload command. Option B is incorrect because it makes the change on a deployment client instead of the deployment server. Option D is incorrect because it changes the default directory instead of the local directory.

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

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.

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

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.

Splunk Enterprise supports multifactor authentication integrations with MFA providers such as Duo Security and RSA Security. These are commonly referenced options for MFA with Splunk Enterprise authentication.

Option A is incorrect because Google Authenticator and Okta Verify are not the listed Splunk Enterprise MFA options in this administration context.

Option B is incorrect because LastPass and Microsoft Entra ID are not the expected answer pair for Splunk Enterprise MFA in this question.

Option C is incorrect because Ping Identity is an identity provider and CrowdStrike Falcon is an endpoint security platform, not the expected Splunk Enterprise MFA answer pair.

Option D is correct because Duo Security and RSA Security are the MFA options associated with Splunk Enterprise administration documentation.

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:// < input path > ]

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.

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.

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. "

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. "

--reset Reset the fishbucket for the given key or file in the btree. Resetting the checkpoint for an active monitor input reindexes data, resulting in increased license use.https://docs.splunk.com/Documentation/Splunk/8.1.1/Troubleshooting/CommandlinetoolsforusewithSupport

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

The acceptFrom setting controls which remote hosts are allowed or denied for a network input. It supports IP addresses and CIDR notation. A deny rule is represented with an exclamation mark !.

To allow all hosts in the 10.0.0.0/8 network but deny hosts in the 10.1.0.0/16 network, the configuration must include both:

10.0.0.0/8 to allow the broader network

!10.1.0.0/16 to deny the excluded subnet

The best matching option is:

acceptFrom = !10.1.0.0/16, 10.0.0.0/8

Option A is incorrect because it only accepts the 10.1.0.0/16 network, which is the network that should be excluded.

Option B is incorrect because it accepts all 10.x.x.x hosts and does not exclude 10.1.x.x.

Option C is incorrect because it repeats the acceptFrom setting on separate lines. In Splunk configuration files, repeated attributes in the same stanza can override earlier values, so this is not the correct way to express the allow/deny list.

Option D is correct because it defines the exclusion and the allowed network in one acceptFrom list.

The inputs.conf file is used to configure inputs, distributed inputs such as forwarders, and file system monitoring in Splunk1.

The [script://myscript.sh] stanza specifies a script input, which means that Splunk runs the script and indexes its output1.

The interval setting determines how often Splunk runs the script. If the interval is set to 0, the script runs only once when Splunk starts up1. If the interval is omitted, the script runs at the default interval of 60 seconds2.

Therefore, option C is correct, and the other options are incorrect.

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). "

https://docs.splunk.com/Documentation/Splunk/8.0.5/Data/Usingforwardingagents

Scroll down to the section Titled, How to configure forwarder inputs, and subsection Here are the main ways that you can configure data inputs on a forwarder Install the app or add-on that contains the inputs you wants

https://docs.splunk.com/Documentation/Splunk/6.2.0/Data/Configuretimestamprecognition

" Specify how far (how many characters) into an event Splunk software should look for a timestamp. " since TIME_PREFIX = ^ and timestamp is from 0-29 position, so D=30 will pick up the WHOLE timestamp correctly.

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.

https://docs.splunk.com/Documentation/Splunk/8.0.6/Security/ManageSplunkuserroleswithLDAP

A Splunk deployment server is a system that distributes apps, configurations, and other assets to groups of Splunk Enterprise instances. You can use it to distribute updates to most types of Splunk Enterprise components: forwarders, non-clustered indexers, and search heads2.

A Splunk deployment server is available on every full Splunk Enterprise instance. To use it, you must activate it by placing at least one app into %SPLUNK_HOME%\etc\deployment-apps on the host you want to act as deployment server3.

A Splunk deployment server maintains the list of server classes and uses those server classes to determine what content to distribute to each client. A server class is a group of deployment clients that share one or more defined characteristics1.

A Splunk deployment client is a Splunk instance remotely configured by a deployment server. Deployment clients can be universal forwarders, heavy forwarders, indexers, or search heads. Each deployment client belongs to one or more server classes1.

A Splunk deployment app is a set of content (including configuration files) maintained on the deployment server and deployed as a unit to clients of a server class. A deployment app can be an existing Splunk Enterprise app or one developed solely to group some content for deployment purposes1.

Therefore, option C is correct, and the other options are incorrect.

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.

A Heavy Forwarder is a Splunk instance that can parse and filter data before forwarding it to another Splunk instance, such as an indexer1. A Heavy Forwarder can also perform index-time field extractions using the TRANSFORMS setting2.

The TRANSFORMS setting is used to configure data transformations in the transforms.conf file3. The transforms.conf file contains settings and values that you can use to configure host and source type overrides, anonymize sensitive data, route events to different indexes, create index-time and search-time field extractions, and set up lookup tables3.

The TRANSFORMS setting can be deployed to the Heavy Forwarder where the syslog files are being monitored, so that the logs can be rerouted based on the event message before they are forwarded to the indexer2. This can improve the performance and efficiency of data processing and indexing2.

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.

The correct answer is B. in props.conf:

[identity]

SEDCMD-redact_pw = s/password=([^,|/s]+)/ ####REACTED####/g

According to the Splunk documentation1, to redact sensitive data from raw events, you need to use the SEDCMD attribute in the props.conf file. The SEDCMD attribute applies a sed expression to the raw data before indexing. The sed expression can use the s command to replace a pattern with a substitution string. For example, the following sed expression replaces any occurrence of password= followed by any characters until a comma, whitespace, or slash with ####REACTED####:

s/password=([^,|/s]+)/ ####REACTED####/g

The g flag at the end means that the replacement is applied globally, not just to the first match.

Option A is incorrect because it uses the REGEX attribute instead of the SEDCMD attribute. The REGEX attribute is used to extract fields from events, not to modify them.

Option C is incorrect because it uses the transforms.conf file instead of the props.conf file. The transforms.conf file is used to define transformations that can be applied to fields or events, such as lookups, evaluations, or replacements. However, these transformations are applied after indexing, not before.

Option D is incorrect because it uses both the wrong attribute and the wrong file. There is no REGEX-redact_pw attribute in the transforms.conf file.

" 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/ < your_App > /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. "

https://docs.splunk.com/Documentation/Splunk/latest/Data/Whitelistorblacklistspecificincomingdata#Include_or_exclude_specific_incoming_data

A Splunk Deployment Server is used to centrally manage and distribute apps, configurations, and updates to deployment clients. On the deployment server, the default location for deployment apps is:

$SPLUNK_HOME/etc/deployment-apps/

Apps placed in this directory can be assigned to server classes and deployed to deployment clients.

Important distinction:

$SPLUNK_HOME/etc/deployment-apps/

is used on the deployment server.

$SPLUNK_HOME/etc/apps/

is where apps are normally installed on a Splunk instance, including deployment clients after apps are received.

manager-apps and peer-apps are not the default Deployment Server app staging directory.

https://docs.splunk.com/Documentation/Splunk/8.0.3/Admin/Distdeploylicenses#Clustered_deployments_and_licensing_issues

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. "

Setting: ignoreOlderThan = < time_window > Description: " Causes the input to stop checking files for updates if the file modification time has passed the < time_window > threshold. " Default: 0 (disabled)

According to the Splunk documentation1, event processing occurs at the parsing phase of the data pipeline. The parsing phase is where Splunk software processes incoming data into individual events, extracts timestamp information, assigns source types, and performs other tasks to make the data searchable1. The parsing phase can also apply field extractions, event type matching, and other transformations to the events2.

In Splunk Enterprise, when collecting data from remote Windows machines using Windows Management Instrumentation (WMI), the configurations are defined in the wmi.conf file. This file specifies the parameters for connecting to WMI providers and defines the data inputs.

The wmi.conf file is located in the $SPLUNK_HOME\etc\system\local\ directory. It contains stanzas that define global settings and input-specific configurations for WMI data collection. This setup allows Splunk to collect various types of data from remote Windows systems, such as event logs and performance metrics, without requiring a forwarder on the remote machine.

https://docs.splunk.com/Documentation/Splunk/8.0.5/Indexer/Howindexingworks

https://docs.splunk.com/Documentation/Splunk/8.0.3/Data/Monitornetworkports

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.

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/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. "

The correct methods to connect a deployment client to a deployment server are A and C. You can either run the command splunk set deploy-poll < IP_address/hostname > : < management_port >  from the command line of the deployment client1 or create and edit a deploymentclient.conf file in $SPLUNK_HOME/etc/system/local on the deployment client2. Both methods require you to specify the IP address, hostname, and management port of the deployment server that you want the client to connect to.

The correct answer is B. The network input in Splunk might be found in the $SPLUNK_HOME/etc/apps/$appName/local/inputs.conf file.

A network input is a type of input that monitors data from TCP or UDP ports. To configure a network input, you need to specify the port number, the connection host, the source, and the sourcetype in the inputs.conf file. You can also set other optional settings, such as index, queue, and host_regex1.

The inputs.conf file is a configuration file that contains the settings for different types of inputs, such as files, directories, scripts, network ports, and Windows event logs. The inputs.conf file can be located in various directories, depending on the scope and priority of the settings. The most common locations are:

$SPLUNK_HOME/etc/system/default: This directory contains the default settings for all inputs. You should not modify or copy the files in this directory2.

$SPLUNK_HOME/etc/system/local: This directory contains the custom settings for all inputs that apply to the entire Splunk instance. The settings in this directory override the default settings2.

$SPLUNK_HOME/etc/apps/$appName/default: This directory contains the default settings for all inputs that are specific to an app. You should not modify or copy the files in this directory2.

$SPLUNK_HOME/etc/apps/$appName/local: This directory contains the custom settings for all inputs that are specific to an app. The settings in this directory override the default and system settings2.

Therefore, the best practice is to create or edit the inputs.conf file in the $SPLUNK_HOME/etc/apps/$appName/local directory, where $appName is the name of the app that you want to configure the network input for. This way, you can avoid modifying the default files and ensure that your settings are applied to the specific app.

The other options are incorrect because:

A. There is no network directory under the apps directory. The network input settings should be in the inputs.conf file, not in a separate directory.

C. There is no udp.conf file in Splunk. The network input settings should be in the inputs.conf file, not in a separate file. The system directory is not the recommended location for custom settings, as it affects the entire Splunk instance.

D. The var/lib/splunk directory is where Splunk stores the indexed data, not the input settings. The homePath setting is used to specify the location of the index data, not the input data. The inputName is not a valid variable for inputs.conf.

< https://docs.splunk.com/Documentation/Splunk/8.0.6/Updating/Deploymentserverarchitecture >

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

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 < data > represents the event data portion of the request

The deployer is a Splunk Enterprise instance that you use to distribute apps and certain other configuration updates to search head cluster members. The set of updates that the deployer distributes is called the configuration bundle.https://docs.splunk.com/Documentation/Splunk/8.1.3/DistSearch/PropagateSHCconfigurationchanges#:~:text=The%20deployer%20is%20a%20Splunk,is%20called%20the%20configuration%20bundle.

https://docs.splunk.com/Documentation/Splunk/8.0.5/Updating/Updateconfigurations

First line says it all: " The deployment server distributes deployment apps to clients. "

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.

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.

When Splunk is integrated with LDAP, most of the user attributes are managed by the LDAP server and cannot be changed in the Splunk UI. However, one exception is the default app attribute, which specifies which app a user sees when they log in to Splunk. This attribute can be changed in the Splunk UI by editing the user settings. Therefore, option A is the correct answer. References: Splunk Enterprise Certified Admin | Splunk, [Configure Splunk to use LDAP and map groups - Splunk Documentation]

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/8.1.1/Indexer/HowSplunkstoresindexes

Once further conditions are met (for example, the index reaches some maximum number of warm buckets), the indexer begins to roll the warm buckets to cold, based on their age. It always selects the oldest warm bucket to roll to cold. Buckets continue to roll to cold as they age in this manner. Cold buckets reside in a different location from hot and warm buckets. You can configure the location so that cold buckets reside on cheaper storage.

" You can group your search peers to facilitate searching on a subset of them. Groups of search peers are known as " distributed search groups. " You specify distributed search groups in the distsearch.conf file "

The correct attribute is:

_TCP_ROUTING = < target_group >

In inputs.conf, _TCP_ROUTING is used to route data from a specific input to a specific TCP output group. The target group must be defined in outputs.conf.

Example:

# inputs.conf

[monitor:///var/log/app.log]

index = app_index

_TCP_ROUTING = indexer_group_1

The corresponding group is defined in outputs.conf:

[tcpout:indexer_group_1]

server = indexer1.example.com:9997,indexer2.example.com:9997

This allows specific inputs to be sent to particular indexer groups.

https://docs.splunk.com/Documentation/Splunk/8.1.1/Updating/Definedeploymentclasses#Ways_to_define_server_classes " When you use forwarder management to create a new server class, it saves the server class definition in a copy of serverclass.conf under $SPLUNK_HOME/etc/system/local. If, instead of using forwarder management, you decide to directly edit serverclass.conf, it is recommended that you create the serverclass.conf file in that same directory, $SPLUNK_HOME/etc/system/local. "