Which are the capabilities of Oracle Autonomous Database that can accelerate innovation? (Choose three)

The capabilities of Oracle Autonomous Database that can accelerate innovation encompass several key features that enhance performance, efficiency, and speed of adaptation in data management.

Instant scaling of storage enables organizations to respond to varying data needs without the lengthy downtime often associated with traditional database environments. This functionality is crucial for businesses that require flexibility in managing large volumes of data, thereby allowing them to focus on innovation rather than the complexities of database management.

Scaling of CPUs with very minimum downtime is equally significant, as it ensures that organizations can adjust their processing power in real-time to accommodate spikes in demand or workload changes. This capability helps maintain continuous operation and performance without interruptions, fostering an environment where innovation can flourish.

The built-in AI and ML features serve as powerful tools for data analysis, enabling the database to automatically detect patterns and anomalies that may not be easily identifiable through manual processes. This ability to harness advanced technologies enhances decision-making processes, driving innovation by allowing businesses to respond swiftly to insights derived from their data.

Provisioning a data warehouse in seconds highlights the speed at which organizations can set up environments tailored to specific analytical needs. This rapid deployment accelerates the time-to-insight and empowers teams to experiment and innovate without getting bogged down by lengthy setup times.

Together, these capabilities of Oracle