Which of the following is a log processing feature of Fortianalyzer?

The log processing feature of FortiAnalyzer that stands out is that logs are indexed on an SQL database. This indexing allows for efficient storage and retrieval of log data, enabling users to search and analyze logs effectively. The use of an SQL database facilitates complex queries and ensures that logs can be accessed quickly, which is essential for monitoring and reporting purposes.

By leveraging an SQL database, FortiAnalyzer can handle large volumes of logs, scale as needed, and maintain performance even as the dataset grows. This structured approach contrasts with simply storing logs as plain files or documents, as it provides a robust framework for data management and enhances functionality such as sorting, filtering, and generating reports on the logged data.

In contrast, simply storing logs in CSV format does not offer the same level of interactivity or database capabilities. Viewing logs only online limits accessibility and usability, while automatic deletion of logs after a set period can hinder long-term analysis and compliance needs.