SPLK-1003 Splunk Enterprise Certified Admin Questions and Answers

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

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/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

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

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

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.

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/7.3.0/Admin/Wheretofindtheconfigurationfiles

"To determine the order of directories for evaluating configuration file precendence, 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"

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.

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

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/Data/Monitornetworkports

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

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.

This is explained in the Splunk documentation1, which states:

If an indexer goes down during a search, the search head notifies you that the results might be incomplete. The search head does not attempt to re-run the search on another indexer.

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/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."

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.

https://docs.splunk.com/Documentation/Splunk/8.0.5/Admin/Inputsconf

[tcp://:]

*Configures the input to listen on a specific TCP network port.

*If a makes a connection to this instance, the input uses this stanza to configure itself.

*If you do not specify , this stanza matches all connections on the specified port.

*Generates events with source set to "tcp:", for example: tcp:514

*If you do not specify a sourcetype, generates events with sourcetype set to "tcp-raw"

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.

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.

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."

https://docs.splunk.com/Documentation/Splunk/8.1.3/Security/ConfigureLDAPwithSplunkWeb

"You can map either users or groups, but not both. If you are using groups, all users must be members of an appropriate group. Groups inherit capabilities form the highest level role they're a member of." "If your LDAP environment does not have group entries, you can treat each user as its own group."

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.

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.

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, license warnings occur when the daily indexing volume exceeds the licensed quota. These warnings are tracked from midnight to midnight based on the system clock of the license manager. If the number of warnings surpasses the allowed threshold within a specified period, a license violation ensues, potentially restricting search capabilities.

To prevent a license warning from escalating to a violation, administrators have until midnight to address the issue. The recommended action is toadd a new licenseto the license manager before midnight. This increases the daily indexing volume quota, ensuring that the current day's data ingestion falls within the permissible limits.

It's important to note that deleting data from indexers or the license manager does not retroactively reduce the recorded license usage for the day. Once data is indexed, it contributes to the day's license volume, and its removal does not negate that contribution.

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

-Scroll down to source =

*Default: the input file path

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 answer to your question is C. services/data/collector. This is the endpoint URI used to collect data in a customer managed Splunk Enterprise environment.According to the Splunk documentation1, “The HTTP Event Collector REST API endpoint is /services/data/collector.You can use this endpoint to send events to HTTP Event Collector on a Splunk Enterprise or Splunk Cloud Platform deployment.” You can also use this endpoint to send events to a specific token or index1. For example, you can use the following curl command to send an event with the token 578254cc-05f5-46b5-957b-910d1400341a and the index main:

curl -k https://localhost:8088/services/data/collector -H 'Authorization: Splunk 578254cc-05f5-46b5-957b-910d1400341a'-d'{"index":"main","event":"Hello, world!"}'

REGEX =

* Enter a regular expression to operate on your data.

FORMAT =

* NOTE: This option is valid for both index-time and search-time field extraction. Index-time field extraction configuration require the FORMAT settings. The FORMAT settings is optional for search-time field extraction configurations.

* This setting specifies the format of the event, including any field names or values you want to add.

DEST_KEY =

* NOTE: This setting is only valid for index-time field extractions.

* Specifies where SPLUNK software stores the expanded FORMAT results in accordance with the REGEX match.

"The forwarder/indexer relationship can be considered platform agnostic (within the sphere of supported platforms) because they exchange their data handshake (and the data, if you wish) over TCP.

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.