SPLK-1003 Exam Dumps - Splunk Enterprise Certified Admin

"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."

Per the provided Splunk reference URL

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

"While HEC has precautions in place to prevent data loss, it's impossible to completely prevent such an occurrence, especially in the event of a network failure or hardware crash. This is where indexer acknolwedgment comes in."

Reference https://docs.splunk.com/Documentation/Splunk/8.0.5/Data/AboutHECIDXAck

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.

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.

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.

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.