Splunk SPLK-1003 - Splunk Enterprise Certified Admin

Immediately after installation, a universal forwarder will start generating internal Splunk logs that contain information about its own operation, such as configuration changes, data inputs, and forwarding activities1. These logs are stored in the $SPLUNK_HOME/var/log/splunk directory on the universal forwarder machine1. The universal forwarder will not automatically detect any indexers in its subnet and begin routing data, as it needs to be configured with the IP address and port number of the indexer or the deployment server2. The universal forwarder will not begin reading local files on its server, as it needs to beconfigured with the data inputs that specify which files or directories to monitor2. The universal forwarder will not send an email to the operator that the installation process has completed, as this is not a default behavior of the universal forwarder and would require additional configuration3.

Splunk Enterprise supports multifactor authentication integrations with MFA providers such as Duo Security and RSA Security. These are commonly referenced options for MFA with Splunk Enterprise authentication.

Option A is incorrect because Google Authenticator and Okta Verify are not the listed Splunk Enterprise MFA options in this administration context.

Option B is incorrect because LastPass and Microsoft Entra ID are not the expected answer pair for Splunk Enterprise MFA in this question.

Option C is incorrect because Ping Identity is an identity provider and CrowdStrike Falcon is an endpoint security platform, not the expected Splunk Enterprise MFA answer pair.

Option D is correct because Duo Security and RSA Security are the MFA options associated with Splunk Enterprise administration documentation.

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.

When using a directory monitor input, specific source types can be selectively overridden using the props.conf file. According to the Splunk documentation1, “You can specify a source type for data based on its input and source. Specify source type for an input. You can assign the source type for data coming from a specific input, such as /var/log/. If you use Splunk Cloud Platform, use Splunk Web to define source types. If you use Splunk Enterprise, define source types in Splunk Web or by editing the inputs.conf configuration file.” However, this method is not very granular and assigns the same source type to all data from an input. To override the source type on a per-event basis, you need to use the props.conf file and the transforms.conf file2. The props.conf file contains settings that determine how the Splunk platform processes incoming data, such as how to segment events, extract fields, and assign source types2. The transforms.conf file contains settings that modify or filter event dataduring indexing or search time2. You can use these files to create rules that match specific patterns in the event data and assign different source types accordingly2. For example, you can create a rule that assigns a source type of apache_error to any event that contains the word “error” in the first line2.

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.

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/8.1.1/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

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.