Splunk SPLK-1003 Dumps

"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."

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

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.

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.

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.

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.

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

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.

The possible causes of the load balancing issue on the Universal Forwarder are A and C. The receiving port and the DNS record are both factors that affect the ability of the Universal Forwarder to distribute data across multiple receivers. If the receiving port is not properly set up to listen on the right port, or if the DNS record used is not set up with a valid list of IP addresses, the Universal Forwarder might fail to connect to some or all of the receivers, resulting in poor load balancing.

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 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.

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.

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.

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.

"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."

The correct answer is C. Distributed search is the feature that allows search heads in a company’s European offices to search data in their New York offices. Distributed search also enables restricting access to certain indexers by using the splunk_server field or the server.conf file1.

Distributed search is a way to scale your Splunk deployment by separating the search management and presentation layer from the indexing and search retrieval layer. With distributed search, a Splunk instance called a search head sends search requests to a group of indexers, or search peers, which perform the actual searches on their indexes. The search head then merges the results back to the user2.

Distributed search has several use cases, such as horizontal scaling, access control, and managing geo-dispersed data. For example, users in different offices can search data across the enterprise or only in their local area, depending on their needs and permissions2.

The other options are incorrect because:

A. Indexer clustering is a feature that replicates data across a group of indexers to ensure data availability and recovery. Indexer clustering does not directly affect distributed search, although search heads can be configured to search across an indexer cluster3.

B. LDAP control is a feature that allows Splunk to integrate with an external LDAP directory service for user authentication and role mapping. LDAP control does not affect distributed search, although it can be used to manage user access to data and searches.

D. Search head clustering is a feature that distributes the search workload across a group of search heads that share resources, configurations, and jobs. Search head clustering does not affect distributed search, although the search heads in a cluster can search across the same set of indexers.

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]

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///local

$SPLUNK_HOME/etc/apps//local

$SPLUNK_HOME/etc/apps//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.

After an app is downloaded, it resides under $SPLUNK_HOME/etc/apps on the deployment clients. But it resided in the $SPLUNK_HOME/etc/deployment-apps location in the deployment server.

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 -index

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.

"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."

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."

Scroll down to section titled, How the cluster handles concurrent search quotas, "Overall search quota. This quota determines the maximum number of historical searches (combined scheduled and ad hoc) that the cluster can run concurrently. This quota is configured with max_Searches_per_cpu and related settings in limits.conf."

A role in Splunk is a classification that determines what capabilities and indexes a user has.A capability is a permission to perform a specific action or access a specific feature on the Splunk platform1.An index is a collection of data that Splunk software processes andstores2. By assigning roles to users, you can control what they can do and what data they can access on the Splunk platform.

Therefore, the correct answers are A and D. A role in Splunk determines what capabilities and indexes a user has. Option B is incorrect because Splunk servers do not use roles to remotely control each other.Option C is incorrect because Splunk servers use instances and components to determine what functions they control3.

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.

IgnoreOlderThan:This setting filters files for indexing based on their age. It does not prevent indexing of old data already in the file.

allowList:This setting allows specifying patterns to include files for monitoring, but it does not control indexing of pre-existing data.

monitor:This is the default method for monitoring files but does not address indexing pre-existing data.

followTail:This attribute, when set in inputs.conf, ensures that Splunk starts reading a file from the end (tail) and does not index existing old data. It is ideal for scenarios with large files where only new updates are relevant.

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.

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.

A Splunk Enterprise trial license gives you access to all the features of Splunk Enterprise for a limited period of time, usually 60 days1. After the trial period expires, you can either purchase a Splunk Enterprise license or switch to a Free license1.

A Splunk Enterprise Free license allows you to index up to 500 MB of data per day, but some features are disabled, such as authentication, distributed search, and alerting2. You can switch to a Free license at any time during the trial period or after the trial period expires1.

A Splunk Enterprise Forwarder license is used with forwarders, which are Splunk instances that forward data to other Splunk instances. A Forwarder license does not allow indexing or searching of data3. You can install a Forwarder license on any Splunk instance that you want to use as a forwarder4.

A Splunk Enterprise commercial end-user license is a license that you purchase from Splunk based on either data volume or infrastructure. This license gives you access to all the features of Splunk Enterprise within a defined limit of indexed data per day (volume-based license) or vCPU count (infrastructure license). You can purchase and install this license after the trial period expires or at any time during the trial period1.

"You can specify a SEDCMD configuration in props.conf to address data that contains characters that the third-party server cannot process. "

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 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://]

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.

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.

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

 [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.

"Every Splunk instance has a fishbucket index, except the lightest of hand-tuned lightweight forwarders, and if you index a lot of files it can get quite large. As any other index, you can change the retention policy to control the size via indexes.conf"

Reference

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