Free and Premium Splunk SPLK-1003 Dumps Questions 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:

"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."

"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."

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

Specifies a comma-separated list of tcpout group names. Use this setting to selectively forward your data to specific indexers by specifying the tcpout groups that the forwarder should use when forwarding the data. Define the tcpout group names in the outputs.conf file in [tcpout:] stanzas. The groups present in defaultGroup in [tcpout] stanza in the outputs.conf file.

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”

"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."

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.

 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.

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

The app local directories move to second in the priority list. This is explained in the Splunk documentation, which states:

In a clustered environment, the precedence of configuration files changes slightly from that of a standalone deployment. The app local directories move to second in the priority list, after the peer-apps local directory. This means that any configuration files in the app local directories on the individual peers are overridden by configuration files of the same name and type in the peer-apps local directory on the master node.

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

Per the provided Splunk reference URL

"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

This is because the input type is UDP, which is an unreliable protocol that does not guarantee delivery, order, or integrity of the data packets. UDP does not have any mechanism to resend or acknowledge the data packets, so if Splunk is restarted, any data that was in transit or in the buffer may be dropped and not indexed.

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 -H 'Authorization: Splunk 578254cc-05f5-46b5-957b-910d1400341a'-d'{"index":"main","event":"Hello, world!"}'

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 HTTP Event Collector (HEC) supports indexer acknowledgment to confirm event delivery. Each acknowledgment is associated with a uniqueGUID(Globally Unique Identifier).

GUID ensures events are not re-indexed in the case of retries.

Incorrect Options:

B, C, D:These are not valid channel values in HEC acknowledgments.

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]

To determine the order of directories for evaluating configuration file precedence, 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: Global. Activities like indexing take place in a global context. They are independent of any app or user. For example, configuration files that determine monitoring or indexing behavior occur outside of the app and user context and are global in nature. App/user. Some activities, like searching, take place in an app or user context. The app and user context is vital to search-time processing, where certain knowledge objects or actions might be valid only for specific users in specific apps.

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

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

In this case:

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

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

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

Example configuration (inputs.conf):

# TCP input for three switches sending via TCP

[tcp://9997]

sourcetype = switch_logs

# UDP input for four switches sending via UDP

[udp://514]

sourcetype = switch_logs

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

Reference (Splunk Documentation):

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

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

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

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

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

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

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

The other options are incorrect because:

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

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

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

When a user is assignedmultiple rolesin Splunk and each has a defined srchFilter, Splunk combines these filters using alogical ANDoperation. This ensures that the user can only search within the intersection of constraints imposed by each role.

From Splunk Docs:

"If a user has multiple roles assigned and multiple roles specify srchFilter, Splunk softwareANDs the filters together."

— Source: Splunk Documentation – authorize.conf

Let’s break it down:

role_A specifies: sourcetype!=json AND index=main

role_B specifies: sourcetype=csv

To evaluate the effective search filter for the user, Splunk willANDthe two conditions:

(sourcetype=csv) AND (sourcetype!=json AND index=main)

This means the user's search is limited to events where:

sourcetype=csv (from role_B)

sourcetype!=json AND index=main (from role_A)

Combining them together logically:

srchFilter = ((sourcetype=csv) AND (sourcetype!=json AND index=main))

This is exactly what is shown inOption A.

"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."

"An Enterprise license stack with a license volume of 100 GB of data per day or more does not currently violate."

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.

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.

- Section: About channels and sending data

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

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

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

Hot/warm/cold/thawed bucket types are searchable. Frozen isn't searchable because its either deleted at that state or archived.

Using the provided DUO/Splunk reference

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.

"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."

"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 correct answer is D. The timezone of the forwarder will be added to the event as part of indexing.

According to the Splunk documentation1, Splunk software determines the time zone to assign to a timestamp using the following logic in order of precedence:

Use the time zone specified in raw event data (for example, PST, -0800), if present.

Use the TZ attribute set in props.conf, if the event matches the host, source, or source type that the stanza specifies.

If the forwarder and the receiving indexer are version 6.0 or higher, use the time zone that the forwarder provides.

Use the time zone of the host that indexes the event.

In this case, the event does not have a time zone specified in the raw data, nor does it have a TZ attribute set in props.conf. Therefore, the next rule applies, which is to use the time zone that the forwarder provides. A universal forwarder is a lightweight agent that can forward data to a Splunk deployment, and it knows its systemtime zone and sends that information along with the events to the indexer2. The indexer then converts the event time to UTC and stores it in the _time field1.

The other options are incorrect because:

A. Universal Coordinated Time (UTC) is not the time zone that Splunk adds to the event as part of indexing, but rather the time zone that Splunk uses to store the event time in the _time field. Splunk software converts the event time to UTC based on the time zone that it determines from the rules above1.

B. The timezone of the search head is not relevant for indexing, as the search head is a Splunk component that handles search requests and distributes them to indexers, but it does not process incoming data3. The search head uses the user’s timezone setting to determine the time range in UTC that should be searched and to display the timestamp of the results in the user’s timezone2.

C. The timezone of the indexer that indexed the event is only used as a last resort, if none of the other rules apply. In this case, the forwarder provides the time zone information, so the indexer does not use its own time zone1.

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.