Splunk SPLK-1003 Dumps

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.

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

"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 data pipeline segments in depth. INPUT - In the input segment, Splunk software consumes data. It acquires the raw data stream from its source, breaks it into 64K blocks, and annotates each block with some metadata keys. The keys can also include values that are used internally, such as the character encoding of the data stream, and values that control later processing of the data, such as the index into which the events should be stored. PARSING Annotating individual events with metadata copied from the source-wide keys. Transforming event data and metadata according to regex transform rules."

Quoting the following Splunk URL reference "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."

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"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."

because transforms.conf is the right configuration file to state the regex expression.

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.

homePath = $SPLUNK_DB/hatchdb/db

coldPath = $SPLUNK_DB/hatchdb/colddb

thawedPath = $SPLUNK_DB/hatchdb/thaweddb

 [monitor::/opt/log/crashlog/Jan27crash.txt]. This stanza means that Splunk is monitoring a single local file named Jan27crash.txt in the /opt/log/crashlog/ directory1. The monitor input type is used to monitor files and directories for changes and index any new data that is added2.

"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."

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 be configured 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.

[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"

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

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

Incorrect Options:

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

References:

Splunk Docs: Configure data integrity controls

"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"

Using the provided DUO/Splunk reference URL

Scroll down to the Network Diagram section and note the following 6 similar steps

1 - SPlunk connection initiated

2 - Primary authentication

3 - Splunk connection established to Duo Security over TCP port 443

4 - Secondary authentication via Duo Security's service

5 - Splunk receives authentication response

6 - Splunk session logged in.

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

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.

/Documentation/SplunkCloud/8.2.2106/Admin/ConcurrentLimits

"Set limits for concurrent scheduled searches. You must have the edit_search_concurrency_all and edit_search_concurrency_scheduled capabilities to configure these settings."

The correct answer is C. MonitorNoHandle.

MonitorNoHandle is a type of input stanza that allows a Splunk forwarder to read files on Windows systems as Windows writes to them. It does this by using a kernel-mode filter driver to capture raw data as it gets written to the file1. This input stanza is useful for files that get locked open for writing, such as the Windows DNS server log file2.

The other options are incorrect because:

A. Tail Reader is not a valid input stanza in Splunk. It is a component of the Tailing Processor, which is responsible for monitoring files and directories for new data3.

B. Upload is a type of input stanza that allows Splunk to index a single file from a local or network file system. It is not suitable for files that are constantly being updated, as it only indexes the file once and does not monitor it for changes4.

D. Monitor is a type of input stanza that allows Splunk to monitor files and directories for new data. However, it may not work for files that Windows prevents Splunk from reading while they are open. In such cases, MonitorNoHandle is a better option2.

A Splunk forwarder is a lightweight agent that can forward data to a Splunk deployment. There are two types of forwarders: universal and heavy. A universal forwarder can only forward data, while a heavy forwarder can also perform parsing, filtering, routing, and aggregation on the data before forwarding it5.

An input stanza is a section in the inputs.conf configuration file that defines the settings for a specific type of input, such as files, directories, network ports, scripts, or Windows event logs. An input stanza starts with a square bracket, followed by the input type and the input path or name. For example, [monitor:///var/log] is an input stanza for monitoring the /var/log directory.

References:

1: Monitor files and directories - Splunk Documentation

2: How to configure props.conf for proper line breaking … - Splunk Community

3: How Splunk Enterprise monitors files and directories - Splunk Documentation

4: Upload a file - Splunk Documentation

5: Use forwarders to get data into Splunk Enterprise - Splunk Documentation

[6]: inputs.conf - Splunk Documentation

"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."

This option corresponds to the file path “$SPLUNK_HOME/etc/apps/splunk_TA_nginx/local/inputs.conf”. This is the configuration file that the user needs to edit to ingest the NGINX access logs to ensure it remains unaffected after upgrade. This is explained in the Splunk documentation, which states:

The local directory is where you place your customized configuration files. The local directory is empty when you install Splunk Enterprise. You create it when you need to override or add to the default settings in a configuration file. The local directory is never overwritten during an upgrade.

cs.splunk.com/Documentation/Splunk/8.0.4/Admin/Propsconf#props.conf.spec

"* Reuse of the same field-extracting regular expression across multiple sources, source types, or hosts." c

 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.

ocumentation/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: plunk/8.1.0/Data/Whitelistorblacklistspecificincomingdata

# 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

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, 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.

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 : 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.

https://docs.splunk.com/Documentation/Splunk/8.2.2/Admin/Distdeploylicenses#:~:text=License%20requirements,do%20not%20index%20external%20data.

"All Splunk Enterprise instances functioning as management components needs access to an Enterprise license. Management components include the deployment server, the indexer cluster manager node, the search head cluster deployer, and the monitoring console."

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

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

When 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 data during 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.

Per the provided reference URL ocs.splunk.com/Documentation/Splunk/7.3.1/Admin/User-seedconf

"To set the default username and password, place user-seed.conf in $SPLUNK_HOME/etc/system/local. You must restart Splunk to enable configurations. If the $SPLUNK_HOME/etc/passwd file is present, the settings in this file (user-seed.conf) are not used."

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.

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.

References: 1: Redact data from events - Splunk Documentation

curl \ -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, 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.