What aspect of Oracle Autonomous Database supports performance tuning?

The aspect of Oracle Autonomous Database that supports performance tuning is its machine learning capabilities. Oracle Autonomous Database leverages advanced machine learning algorithms to automatically optimize database performance by analyzing usage patterns, resource consumption, and query execution. This intelligent system continuously monitors the database environment and applies optimizations in real-time, such as automatically tuning indexes and adjusting execution plans to ensure optimal performance.

The use of machine learning allows for dynamic adjustments without human intervention, making it more efficient than traditional manual optimization techniques. By identifying and applying the best strategies for performance tuning without requiring extensive user input, the machine learning capabilities contribute significantly to the autonomous nature of the database, ensuring that users experience optimized performance tailored to their specific workloads and data patterns.

Other options, while relevant to the overall functionality and security of the database, do not specifically address performance tuning. For instance, the focus on security threats relates to protecting sensitive data, daily backups ensure data recovery and consistency, and manual optimization techniques require significant user effort and expertise, contrasting with the autonomous, self-managing capabilities of machine learning.