Master the Splunk Enterprise Architect Challenge 2025 – Build Your Data Dynasty!

The correct answer is that Data Warehouses are not a key component of the Splunk architecture. In Splunk's architecture, the primary components that facilitate data ingestion, processing, and searching include Indexers, Search Heads, and Forwarders.

Indexers are responsible for indexing and storing the data that gets ingested into Splunk, allowing for efficient search and retrieval. Search Heads enable users to perform searches, create dashboards, and visualize data. Forwarders play a critical role in data collection by forwarding log data from different sources to the indexers.

In contrast, Data Warehouses are typically associated with traditional database systems meant for complex queries and data analytics, rather than the real-time processing and searching capabilities that Splunk offers. As such, including Data Warehouses does not align with the core components of the Splunk architecture, which centers around log and machine data analysis in real-time environments.