Splunk SPLK-1003 Splunk Enterprise Certified Admin Exam Practice Test

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.

https://docs.splunk.com/Documentation/Splunk/latest/Forwarding/Protectagainstlossofin-flightdata#:~:text=The%20default%20for%20the%20maxQueueSize,wait%20queue%20size%20is%2021MB.

https://docs.splunk.com/Documentation/Splunk/latest/Forwarding/Protectagainstlossofin-flightdata

- 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 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 inputs.conf file is used to configure inputs, distributed inputs such as forwarders, and file system monitoring in Splunk1.

The [script://myscript.sh] stanza specifies a script input, which means that Splunk runs the script and indexes its output1.

The interval setting determines how often Splunk runs the script. If the interval is set to 0, the script runs only once when Splunk starts up1. If the interval is omitted, the script runs at the default interval of 60 seconds2.

Therefore, option C is correct, and the other options are incorrect.

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 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.

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 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!"}'

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."

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.

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.

Splunk REST API is a valid method to create a Splunk user. The Splunk REST API allows administrators to create, edit, and delete users programmatically using HTTP requests. The other options are not valid methods to create a Splunk user. Creating a support ticket does not create a user, but requests assistance from Splunk support. Creating a user on the host operating system does not create a Splunk user, but a system user. Adding the username to users.conf does not create a user, but modifies the configuration file that stores user information. References = Configure users with the CLI, Configure users and roles

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/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"

https://docs.splunk.com/Documentation/Splunk/latest/Admin/Outputsconf

# 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

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.

"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"

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.

https://docs.splunk.com/Documentation/Splunk/8.1.1/Updating/Definedeploymentclasses#Ways_to_define_server_classes "When you use forwarder management to create a new server class, it saves the server class definition in a copy of serverclass.conf under $SPLUNK_HOME/etc/system/local. If, instead of using forwarder management, you decide to directly edit serverclass.conf, it is recommended that you create the serverclass.conf file in that same directory, $SPLUNK_HOME/etc/system/local."

Adding further clarity and quoting same Splunk reference URL from @giubal"

"To keep configuration settings consistent across peer nodes, configuration files are managed from the cluster master, which pushes the files to the slave-app directories on the peer nodes. Files in the slave-app directories have the highest precedence in a cluster peer's configuration. Here is the expanded precedence order for cluster peers:

1.Slave-app local directories -- highest priority

2. System local directory

3. App local directories

4. Slave-app default directories

5. App default directories

6. System default directory --lowest priority

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.

SAML is an open standard for exchanging authentication and authorization data between parties, especially between an identity provider and a service provider1. SAML supports multi-factor authentication by allowing the identity provider to require the user to present two or more factors of evidence to prove their identity2. For example, the user may need to enter a password and a one-time code sent to their phone, or scan their fingerprint and face.

Per the provided reference URLhttps://docs.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."

https://docs.splunk.com/Documentation/Splunk/8.0.3/Data/Monitornetworkports

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

"Enterprise Trial license. If you get five or more warnings in a rolling 30 days period, you are in violation of your license. Dev/Test license. If you generate five or more warnings in a rolling 30-day period, you are in violation of your license. Developer license. If you generate five or more warnings in a rolling 30-day period, you are in violation of your license. BUT for Free license. If you get three or more warnings in a rolling 30 days period, you are in violation of your license."

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."

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.

https://docs.splunk.com/Documentation/Splunk/9.0.0/DistSearch/Distributedsearchgroups

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

-Scroll down to source =

*Default: the input file path

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/7.3.1/DistSearch/SHCarchitecture

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."

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

https://docs.splunk.com/Documentation/Splunk/6.2.0/Data/Configuretimestamprecognition

"Specify how far (how many characters) into an event Splunk software should look for a timestamp." since TIME_PREFIX = ^ and timestamp is from 0-29 position, so D=30 will pick up the WHOLE timestamp correctly.

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.

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

 Indexers, search head, deployment server, license master, universal forwarder. This is the combination of Splunk component instances that are needed to handle the volume of data from collecting log files from 50 Linux servers and 200 Windows servers, following the best practices. The roles and functions of these components are:

Indexers: These are the Splunk instances that index the data and make it searchable. They also perform some data processing, such as timestamp extraction, line breaking, and field extraction. Multiple indexers can be clustered together to provide high availability, data replication, and load balancing.

Search head: This is the Splunk instance that coordinates the search across the indexers and merges the results from them. It also provides the user interface for searching, reporting, and dashboarding. A search head can also be clustered with other search heads to provide high availability, scalability, and load balancing.

Deployment server: This is the Splunk instance that manages the configuration and app deployment for the universal forwarders. It allows the administrator to centrally control the inputs.conf, outputs.conf, and other configuration files for the forwarders, as well as distribute apps and updates to them.

License master: This is the Splunk instance that manages the licensing for the entire Splunk deployment. It tracks the license usage of all the Splunk instances and enforces the license limits and violations. It also allows the administrator to add, remove, or change licenses.

Universal forwarder: These are the lightweight Splunk instances that collect data from various sources and forward it to the indexers or other forwarders. They do not index or parse the data, but only perform minimal processing, such as compression and encryption. They are installed on the Linux and Windows servers that generate the log files.

https://docs.splunk.com/Documentation/Splunk/latest/Indexer/Setaretirementandarchivingpolicy

https://docs.splunk.com/Documentation/Splunk/latest/Admin/Howtoeditaconfigurationfile#Clear%20a%20setting

https://docs.splunk.com/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 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."

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/8.2.1/Updating/Filterclients