SPLK-1003 Exam Dumps - Splunk Enterprise Certified Admin

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.

In Splunk Enterprise, license warnings occur when the daily indexing volume exceeds the licensed quota. These warnings are tracked from midnight to midnight based on the system clock of the license manager. If the number of warnings surpasses the allowed threshold within a specified period, a license violation ensues, potentially restricting search capabilities.

To prevent a license warning from escalating to a violation, administrators have until midnight to address the issue. The recommended action is toadd a new licenseto the license manager before midnight. This increases the daily indexing volume quota, ensuring that the current day ' s data ingestion falls within the permissible limits.

It ' s important to note that deleting data from indexers or the license manager does not retroactively reduce the recorded license usage for the day. Once data is indexed, it contributes to the day ' s license volume, and its removal does not negate that contribution.

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.

The indexing pipeline and the parsing pipeline are the two pipelines that are responsible for transforming the raw data into events and preparing them for indexing. The indexing pipeline applies index-time settings, such as timestamp extraction, line breaking, host extraction, and source type recognition. The parsing pipeline applies parsing settings, such as field extraction, event segmentation, and event annotation.

The HTTP Event Collector (HEC) supports indexer acknowledgment to confirm event delivery. Each acknowledgment is associated with a uniqueGUID(Globally Unique Identifier).

GUID ensures events are not re-indexed in the case of retries.

Incorrect Options:

B, C, D:These are not valid channel values in HEC acknowledgments.

 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.

This is the endpoint URI used to collect data using the 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 endpoint URI consists of the protocol (http or https), the hostname or IP address of the Splunk server, the port number (default is 8088), and the service name (services/collector). For example:

https://mysplunkserver.example.com:8088/services/collector