Splunk Enterprise Certified Admin Practice Test

What guards against data loss in Splunk?

1. Data Retention Policies

2. Indexer Acknowledgement

3. Data Model Acceleration

4. Index Time Timeouts

The correct answer is: Indexer Acknowledgement

Indexer Acknowledgement is a key feature in Splunk that enhances data durability and resilience by ensuring that data is successfully indexed before it is acknowledged as ingested. When this mechanism is enabled, the forwarding layer (such as Universal Forwarders) will wait for confirmation from the indexers that the data has been received and indexed properly. This acknowledgment helps prevent data loss in cases where network issues might interrupt the transmission or if an indexer encounters a failure. By implementing this feature, organizations can be assured that the data they are sending to Splunk is actively accounted for and securely stored, thus reinforcing the integrity of their analytics. The other options, while related to data management and indexing practices, do not specifically serve the same protective role against data loss. Data Retention Policies focus on how long data is kept rather than preventing loss. Data Model Acceleration allows for faster query performance on complex searches but does not address data loss. Index Time Timeouts dictate the time a system waits for data to be indexed but don't ensure that the data isn't lost if issues occur during transmission or indexing.