Free Splunk SPLK-1003 Practice Exam with Questions & Answers | Set: 6

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 C and D. A heavy forwarder and an indexer are the Splunk components that can break a stream of syslog inputs into individual events.

A universal forwarder is a lightweight agent that can forward data to a Splunk deployment, but it does not perform any parsing or indexing on the data. A search head is a Splunk component that handles search requests and distributes them to indexers, but it does not process incoming data.

A heavy forwarder is a Splunk component that can perform parsing, filtering, routing, and aggregation on the data before forwarding it to indexers or other destinations. A heavy forwarder can break a stream of syslog inputs into individual events based on the line breaker and should linemerge settings in the inputs.conf file1.

An indexer is a Splunk component that stores and indexes data, making it searchable. An indexer can also break a stream of syslog inputs into individual events based on the props.conf file settings, such as TIME_FORMAT, MAX_TIMESTAMP_LOOKAHEAD, and line_breaker2.

A Splunk component is a software process that performs a specific function in a Splunk deployment, such as data collection, data processing, data storage, data search, or data visualization.

Syslog is a standard protocol for logging messages from network devices, such as routers, switches, firewalls, or servers. Syslog messages are typically sent over UDP or TCP to a central syslog server or a Splunk instance.

Breaking a stream of syslog inputs into individual events means separating the data into discrete records that can be indexed and searched by Splunk. Each event should have a timestamp, a host, a source, and a sourcetype, which are the default fields that Splunk assigns to the data.

https://docs.splunk.com/Documentation/Splunk/8.2.2/Data/UsetheHTTPEventCollector

"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."

In Splunk Enterprise, when knowledge bundles (which include lookup files, configurations, and other knowledge objects) are replicated between search heads and indexers, administrators can control the maximum size of lookup files that are eligible for replication.

The correct parameter to use is excludeReplicatedLookupSize, defined in distsearch.conf. This parameter specifies a maximum file size (in megabytes) beyond which lookup files are excluded from bundle replication. By setting this to 500, any lookup file larger than 500 MB will not be replicated to search peers.

This is especially important for performance optimization and preventing unnecessary network load during search head to indexer communication.

Example configuration (distsearch.conf):

[replicationSettings]

excludeReplicatedLookupSize = 500

Reference (Splunk Documentation):

distsearch.conf.spec and example → excludeReplicatedLookupSize

Splunk® Enterprise Distributed Search Manual → “Control knowledge bundle replication between search heads and indexers”

Splunk Admin Manual → “Prevent large lookup files from being replicated”

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.

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.

 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.

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