Which feature is vital for the automatic recovery of the Oracle Autonomous Data Warehouse?

Which feature is vital for the automatic recovery of the Oracle Autonomous Data Warehouse?

• A. Manual intervention during recovery
• B. Daily incremental backups
• C. Single backup per month
• D. Restoration only to the last state

Answer: (B)

The correct choice highlights the significance of daily incremental backups in facilitating the automatic recovery of the Oracle Autonomous Data Warehouse. Daily incremental backups are crucial because they allow the system to capture changes made to the database on a regular basis, which minimizes potential data loss in the event of a failure or corruption. These backups store only the changes since the last backup, making them more efficient in terms of both storage and time required for recovery compared to full backups. In an autonomous system, automation is key, and having frequent backups allows the data warehouse to recover quickly and efficiently without requiring significant human intervention. In contrast, the other options reflect less effective or more limited recovery strategies. Manual intervention can introduce delays and increase the risk of errors during the recovery process. A single backup per month would not provide sufficient granularity to recover to a precise state prior to a failure. Restoration only to the last state would not account for any incremental changes that have occurred, which could lead to a loss of valuable data and affect operational continuity. Thus, daily incremental backups are essential for maintaining an agile, resilient data recovery process in the Oracle Autonomous Data Warehouse.

The correct choice highlights the significance of daily incremental backups in facilitating the automatic recovery of the Oracle Autonomous Data Warehouse.

Daily incremental backups are crucial because they allow the system to capture changes made to the database on a regular basis, which minimizes potential data loss in the event of a failure or corruption. These backups store only the changes since the last backup, making them more efficient in terms of both storage and time required for recovery compared to full backups. In an autonomous system, automation is key, and having frequent backups allows the data warehouse to recover quickly and efficiently without requiring significant human intervention.

In contrast, the other options reflect less effective or more limited recovery strategies. Manual intervention can introduce delays and increase the risk of errors during the recovery process. A single backup per month would not provide sufficient granularity to recover to a precise state prior to a failure. Restoration only to the last state would not account for any incremental changes that have occurred, which could lead to a loss of valuable data and affect operational continuity. Thus, daily incremental backups are essential for maintaining an agile, resilient data recovery process in the Oracle Autonomous Data Warehouse.