Splunk Enterprise Certified Architect Practice Test 2025 – Complete Exam Prep

The distributed deployment model in Splunk is designed to enhance scalability and performance by allowing multiple indexers and search heads to work in conjunction. In this setup, data is indexed across several indexers, enabling the system to handle larger volumes of data more efficiently. Additionally, search heads can be distributed, allowing multiple queries to be processed in parallel, which accelerates search operations and improves user responsiveness.

This model is essential for organizations that require high availability and resilience, as well as those dealing with large amounts of data or requiring rapid search performance. The architecture can also support load balancing and fault tolerance, making it ideal for enterprise-level deployments.

In contrast, the standalone deployment model is suitable for smaller environments and does not support the scalability provided by multiple indexers and search heads. Similarly, the multisite deployment involves a configuration across different geographical locations, which may include a distributed model but adds complexity associated with data replication and site management. The single-site model typically refers to a simpler setup and is not focused on leveraging multiple components for scalability. Thus, the distributed deployment model distinctly meets the needs for scalability by integrating multiple indexers and search heads.