Set up automated log aggregation and analysis using tools that can handle large volumes of data, with alerts for anomalies For a large Tableau Server deployment, the best practice is to set up automated log aggregation and analysis using tools capable of handling and processing large volumes of log data. Automated systems with anomaly detection and alerting mechanisms can efficiently identify potential issues, helping administrators to proactively address performance bottlenecks. Option A is incorrect because only analyzing logs in response to user-reported issues may lead to delayed identification and resolution of underlying problems. Option C is incorrect as analyzing logs only during maintenance periods misses the opportunity for ongoing monitoring and quick response to emerging issues. Option D is incorrect because while delegation can be part of the strategy, it does not replace the need for automated and comprehensive log analysis across the entire server deployment.