Splunk Enterprise Certified Architect Practice Test 2025 – Comprehensive All-in-One Guide to Exam Success!

When index buckets are created at half the size of incoming data, it indicates a specific data compression methodology used within Splunk to manage and optimize storage. The correct answer reflects the fact that when data is ingested, it is typically uncompressed raw data. However, Splunk uses techniques such as indexing and compression to store this data more efficiently.

When index buckets are set at half the size of incoming data, it suggests that while raw data may take up a certain amount of space, the way Splunk organizes and compresses this data typically results in approximately 30% of that incoming data being used for raw data when considering the entire data lifecycle and storage strategy. This effectively means that Splunk is applying a level of compression to the data that allows for significant storage efficiency while still enabling quick retrieval and search capabilities.

This value aligns with real-world practices seen in Splunk environments, where adequate space is allocated for performance needs while recognizing that compression plays a critical role in how much raw data is retained on disk.