Which of the following features can the Add-on Builder configure in a new add-on?

The Add-on Builder in Splunk allows users to create and customize add-ons that enhance the data ingestion and processing capabilities of Splunk. One of the primary features that the Add-on Builder can configure in a new add-on is the normalization of data.

Normalization refers to the process of transforming data into a consistent format, making it easier to analyze, search, and correlate across various datasets. This is particularly important in Splunk, where data can come from diverse sources and may be in different formats. The Add-on Builder provides tools to define how incoming data should be normalized, such as specifying field mappings and data types, ensuring that the data is usable within the Splunk platform for further analysis.

The other options, while relevant to data handling in Splunk, do not fall under the specific functionalities of the Add-on Builder. Expiring data is typically managed through retention policies, summarizing data is more related to report generation and results optimization rather than the add-on's configuration, and translating data concerns localization rather than structural normalization. This distinction reinforces the importance of accurate data transformation, which is precisely what normalization aims to achieve. Thus, selecting normalization as a feature that the Add-on Builder can configure accurately reflects its capabilities in enhancing Splunk’s data handling efficiency