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

In the context of Splunk’s mechanisms for ensuring data integrity, file encryption is primarily used to protect data at rest and in transit, rather than directly ensuring the integrity or authenticity of the data itself. While encryption is crucial for maintaining confidentiality and protecting sensitive information from unauthorized access, it does not inherently verify that the data has not been altered or corrupted during storage or transmission.

Data redundancy, checksums during data transfer, and indexing processes all play a pivotal role in maintaining data integrity. Data redundancy involves storing copies of data to prevent loss and ensure availability, while checksums are specifically designed to detect errors that may occur during data transmission, confirming that the data received matches what was sent. Indexing processes also offer integrity checks by organizing and managing data efficiently, ensuring consistency in how data is stored and retrieved.

By understanding the distinct roles of these mechanisms, it's clear that file encryption is not directly related to ensuring data integrity in the way the other options are.