SPLK-1003 Questions and Answers

The Splunk Deployment Server is a centralized component used to distribute configurations and apps to multiple deployment clients , such as forwarders, indexers, or other Splunk instances.

By default, all deployment apps that the Deployment Server manages are stored in the directory:

$SPLUNK_HOME/etc/deployment-apps/

Each subdirectory under this path represents a deployment app that can be pushed to one or more clients based on rules defined in serverclass.conf.

The Deployment Server stages updates in /etc/deployment-apps/ and deploys them to clients based on matching server classes. This mechanism allows centralized management and configuration consistency across distributed Splunk environments.

Reference (Splunk Documentation):

Splunk® Enterprise Admin Manual → Use the deployment server to deploy configurations

serverclass.conf.spec and example → “Deployment server staging area is $SPLUNK_HOME/etc/deployment-apps/.”

Splunk Docs: “About deployment server”

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

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.

The following items in the phases below are listed in the order Splunk applies them (ie LINE_BREAKER occurs before TRUNCATE).

Input phase

inputs.conf

props.conf

CHARSET

NO_BINARY_CHECK

CHECK_METHOD

CHECK_FOR_HEADER (deprecated)

PREFIX_SOURCETYPE

sourcetype

wmi.conf

regmon-filters.conf

Structured parsing phase

props.conf

INDEXED_EXTRACTIONS, and all other structured data header extractions

Parsing phase

props.conf

LINE_BREAKER, TRUNCATE, SHOULD_LINEMERGE, BREAK_ONLY_BEFORE_DATE, and all other line merging settings

TIME_PREFIX, TIME_FORMAT, DATETIME_CONFIG (datetime.xml), TZ, and all other time extraction settings and rules

TRANSFORMS which includes per-event queue filtering, per-event index assignment, per-event routing

SEDCMD

MORE_THAN, LESS_THAN

transforms.conf

stanzas referenced by a TRANSFORMS clause in props.conf

LOOKAHEAD, DEST_KEY, WRITE_META, DEFAULT_VALUE, REPEAT_MATCH

- etc/system/local/ has better precedence at index time - for identical settings in the same file, the last one overwrite others, see :https://community.splunk.com/t5/Getting-Data-In/What-is-the-precedence-for-identical-stanzas-within-a-single/m-p/283566

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

 The eval command is a distributable streaming command, which means that it can run on the search peers in a distributed environment1. The search peers are the indexers that store the data and perform the initial steps of the search processing2. The eval command calculates an expression and puts the resulting value into a search results field1. In your search, you are using the eval command to create a new field called “responsible_team” based on the values in the “account” field.

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.

The Universal Forwarder (UF) handles data forwarding to indexers. When monitoring a continuous and high-volume syslog stream over TCP, the UF may not detect an end-of-file (EOF) condition, which is typicallyrequired to trigger load balancing between multiple indexers. This can result in the UF continuously sending data to a single indexer, potentially leading to uneven load distribution.

To address this, Splunk provides the forceTimebasedAutoLB setting in the outputs.conf configuration file. Enabling this setting allows the UF to switch between indexers at regular time intervals, regardless of EOF detection. This ensures a more balanced distribution of data across multiple indexers, even in scenarios with continuous data streams like syslog.

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/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

" The search head replicates the knowledge bundle periodically in the background or when initiating a search. " " As part of the distributed search process, the search head replicates and distributes its knowledge objects to its search peers, or indexers. Knowledge objects include saved searches, event types, and other entities used in searching accorss indexes. The search head needs to distribute this material to its search peers so that they can properly execute queries on its behalf. "

In Splunk Enterprise , when knowledge bundles (which include lookup files, configurations, and other knowledge objects) are replicated between search heads and indexers, administrators can control the maximum size of lookup files that are eligible for replication.

The correct parameter to use is excludeReplicatedLookupSize , defined in distsearch.conf . This parameter specifies a maximum file size (in megabytes) beyond which lookup files are excluded from bundle replication . By setting this to 500, any lookup file larger than 500 MB will not be replicated to search peers.

This is especially important for performance optimization and preventing unnecessary network load during search head to indexer communication.

Example configuration (distsearch.conf):

[replicationSettings]

excludeReplicatedLookupSize = 500

Reference (Splunk Documentation):

distsearch.conf.spec and example → excludeReplicatedLookupSize

Splunk® Enterprise Distributed Search Manual → “Control knowledge bundle replication between search heads and indexers”

Splunk Admin Manual → “Prevent large lookup files from being replicated”

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. "

" 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 "

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. "

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

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.

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.

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/Splexicon:Searchpeer

" A Splunk platform instance that responses to search requests from a search head. The term " Search peer " is usually synonymous with the indexer role in a distributed search topology... "

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/8.0.1/Forwarding/Aboutforwardingandreceivingdata

https://docs.splunk.com/Documentation/Forwarder/8.1.1/Forwarder/Configureforwardingwithoutputs.conf#:~:text=compressed%3Dtrue%20This%20tells%20the,the%20forwarder%20sends%20raw%20data.

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

Per the provided Splunk reference URL

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

" While HEC has precautions in place to prevent data loss, it ' s impossible to completely prevent such an occurrence, especially in the event of a network failure or hardware crash. This is where indexer acknolwedgment comes in. "

Reference https://docs.splunk.com/Documentation/Splunk/8.0.5/Data/AboutHECIDXAck

http://www.splunk.com/view/SP-CAAAGPR

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.

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.

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/8.1.1/Data/Monitornetworkports

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.

The outputs.conf file defines how forwarders send data to receivers1. You can specify some output configurations at installation time (Windows universal forwarders only) or the CLI, but most advanced configuration settings require that you edit outputs.conf1.

The [tcpout:…] stanza specifies a group of forwarding targets that receive data over TCP2. You can define multiple groups with different names and settings2.

The server setting lists one or more receiving hosts for the group, separated by commas2. If you specify multiple hosts, the forwarder load balances the data across them2.

Therefore, option A is correct, because the forwarder will send data to both inputsl.mysplunkhfs.corp:9997 and inputs2.mysplunkhfs.corp:9997, even if 145.188.183.184:9097 is unreachable.

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/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 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.

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 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.

The correct answer is A. splunk add one shot / opt/ incident [data . log —index incident

According to the Splunk documentation1, the splunk add one shot command adds a single file or directory to the Splunk index and then stops monitoring it. This is useful for ingesting static files that do not change or update. The command takes the following syntax:

splunk add one shot < file > -index < index_name >

The file parameter specifies the path to the file or directory to be indexed. The index parameter specifies the name of the index where the data will be stored. If the index does not exist, Splunk will create it automatically.

Option B is incorrect because the splunk edit monitor command modifies an existing monitor input, which is used for ingesting files or directories that change or update over time. This command does not create a new monitor input, nor does it stop monitoring after indexing.

Option C is incorrect because the splunk add monitor command creates a new monitor input, which is also used for ingesting files or directories that change or update over time. This command does not stop monitoring after indexing.

Option D is incorrect because the splunk edit oneshot command does not exist. There is no such command in the Splunk CLI.

https://docs.splunk.com/Documentation/Splunk/8.1.0/Data/ConsiderationsfordecidinghowtomonitorWindowsdata

" The Splunk platform collects remote Windows data for indexing in one of two ways: From Splunk forwarders, Using Windows Management Instrumentation (WMI). For Splunk Cloud deployments, you must use the Splunk Universal Forwarder on a Windows machines to montior remote Windows data. "

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.

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/ < username > / < appname > /local

$SPLUNK_HOME/etc/apps/ < appname > /local

$SPLUNK_HOME/etc/apps/ < appname > /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.