Splunk SPLK-1003 Splunk Enterprise Certified Admin Exam Practice Test

Users log on to the search head and run reports: – The search head dispatches searches to the peers – Peers run searches in parallel and return their portion of results – The search head consolidates the individual results and prepares reports

https://docs.splunk.com/Documentation/Splunk/8.1.2/Security/Dataintegritycontrol#:~:text=When%20you%20enable%20data%20integrity%20control%2C%20Splunk%20Enterprise%20computes%20hashes,it%20to%20a%20l1Hashes%20file.

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.

When creating new user roles in Splunk, it's recommended to define roles that incorporate the necessary capabilities and index access permissions. This approach allows for granular control over user access and aligns with best practices for role-based access control.

"You can create custom roles and assign those roles to your users. Custom roles let you make granular adjustments to user access, including... Role inheritance... Capabilities... Allowed and default indexes..."

— About configuring role-based user access -

By creating roles that incorporate both capabilities and index access, administrators can efficiently manage user permissions and maintain a secure Splunk environment.

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/7.3.1/Data/Configurecharactersetencoding

"Configure character set encoding. Splunk software attempts to apply UTF-8 encoding to your scources by default. If a source foesn't use UTF-8 encoding or is a non-ASCII file, Splunk software tries to convert data from the source to UTF-8 encoding unless you specify a character set to use by setting the CHARSET key in the props.conf file."

https://docs.splunk.com/Documentation/Splunk/8.1.0/Data/ConsiderationsfordecidinghowtomonitorWindowsdata

"The Splunk platform collects remote Windows data for indexing in one of two ways: From Splunk forwarders, Using Windows Management Instrumentation (WMI). For Splunk Cloud deployments, you must use the Splunk Universal Forwarder on a Windows machines to montior remote Windows data."

https://docs.splunk.com/Documentation/Splunk/8.1.1/Knowledge/Configureadvancedextractionswithfieldtransforms

use transformations with props.conf and transforms.conf to:

– Mask or delete raw data as it is being indexed

–Override sourcetype or host based upon event values

– Route events to specific indexes based on event content

– Prevent unwanted events from being indexed

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.

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

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 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.

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]

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

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

https://docs.splunk.com/Documentation/Splunk/8.0.3/Admin/Distdeploylicenses#Clustered_deployments_and_licensing_issues

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

https://docs.splunk.com/Documentation/Splunk/latest/Forwarding/Typesofforwarders

"A heavy forwarder parses data before forwarding it and can route data based on criteria such as source or type of event."

https://docs.splunk.com/Documentation/Splunk/8.0.5/Data/Usingforwardingagents

Scroll down to the section Titled, How to configure forwarder inputs, and subsection Here are the main ways that you can configure data inputs on a forwarder Install the app or add-on that contains the inputs you wants

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

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.

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.”

curl “https://mysplunkserver.example.com:8088/services/collector” \ -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.

https://docs.splunk.com/Documentation/Splunk/8.0.4/Admin/Propsconf#props.conf.spec

https://docs.splunk.com/Documentation/Splunk/8.1.1/Admin/Propsconf

"* Reuse of the same field-extracting regular expression across multiple sources, source types, or hosts."https://docs.splunk.com/Documentation/Splunk/8.0.4/Admin/Propsconf#props.conf.spec

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/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"

REGEX =

* Enter a regular expression to operate on your data.

FORMAT =

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

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

DEST_KEY =

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

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

The 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!"}'

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

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

https://docs.splunk.com/Documentation/Splunk/8.2.1/Updating/Filterclients

 [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.

https://docs.splunk.com/Documentation/Splunk/8.0.5/Forwarding/Forwarddatatothird-partysystemsd

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

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.

URLhttps://docs.splunk.com/Documentation/Splunk/8.2.2/DistSearch/Configuredistributedsearch

"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."

https://docs.splunk.com/Documentation/Splunk/latest/Deploy/Datapipeline "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."

because transforms.conf is the right configuration file to state the regex expression.https://docs.splunk.com/Documentation/Splunk/8.1.0/Admin/Transformsconf

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.

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 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.

Using the provided DUO/Splunk reference URLhttps://duo.com/docs/splunk

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.

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.

Setting: ignoreOlderThan = Description: "Causes the input to stop checking files for updates if the file modification time has passed the threshold." Default: 0 (disabled)

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.

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

https://docs.splunk.com/Documentation/Splunk/8.1.1/Indexer/HowSplunkstoresindexes

Once further conditions are met (for example, the index reaches some maximum number of warm buckets), the indexer begins to roll the warm buckets to cold, based on their age. It always selects the oldest warm bucket to roll to cold. Buckets continue to roll to cold as they age in this manner. Cold buckets reside in a different location from hot and warm buckets. You can configure the location so that cold buckets reside on cheaper storage.

 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.

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.

"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"