Splunk Enterprise Certified Architect Practice Test

Adding search peers enhances search throughput with increased load because it allows you to distribute search tasks across multiple indexers. As data grows and the demand for searches increases, incorporating additional search peers allows for parallel processing of queries. This means that more searches can be conducted simultaneously, reducing the time it takes to retrieve search results and increasing overall system efficiency. The architecture of Splunk is designed to scale horizontally, meaning that by adding more search peers, you effectively enhance the system's ability to handle a greater volume of search queries and larger datasets.

In contrast to other choices, adding RAM to search heads primarily improves their ability to manage and distribute searches but does not directly equate to increased search throughput. Similarly, while additional search peers improve performance overall, they do not affect the maximum size of search results. The option regarding adding search heads pertains to scaling the front-end capacity for search management and does not relate to storage for logs, as search heads primarily handle search processing rather than storing data.