Oracle AI Database: Backup and Recovery Live Class

Course Description

Oracle AI Database: Backup and Recovery Live Class develops practical capability in backup and recovery architecture, RMAN configuration, control files, SPFILE protection, recovery catalog, retention policy and full backups, incremental backups, image copies, archived redo, backup optimization, validation and crosscheck. The learning path connects architecture, configuration, development, or functional processing to ownership, security, data quality, controls, and measurable acceptance criteria.

The later modules address restore operations, media recovery, point-in-time recovery, tablespace recovery, multitenant recovery, failure diagnosis and corruption handling, block media recovery, disaster recovery drills, encryption, automation, operational runbooks. Learners work with RMAN configuration and backup report, recovery catalog and validation output, restore and media recovery transcript, and recovery test results and runbook to distinguish configuration defects from data, access, integration, performance, compliance, or operational failures.

By completing the course, participants can support a production Oracle AI Database protected by recoverable backups, tested restore procedures, and auditable recovery objectives. They also create an improvement plan covering validation, exception handling, rollback, ownership, monitoring, governance, and production support.

What You Will Learn

• Explain the architecture, responsibilities, and prerequisite decisions behind Backup and recovery architecture, RMAN configuration, control files.
• Configure SPFILE protection, recovery catalog, retention policy and confirm readiness using RMAN configuration and backup report.
• Execute Full backups, incremental backups, image copies, archived redo through a traceable sequence with clear ownership and approval boundaries.
• Identify catalog mismatch or retention gap by inspecting recovery catalog and validation output at the earliest reliable checkpoint.
• Integrate Restore operations, media recovery, point-in-time recovery into the wider workflow and document its upstream and downstream dependencies.
• Validate tablespace recovery, multitenant recovery, failure diagnosis with restore and media recovery transcript, including a boundary or failure case.
• Operate Corruption handling, block media recovery, disaster recovery drills, encryption against defined security, reliability, recovery, and support objectives.
• Resolve recovery objective not achieved through evidence-led diagnosis, a reversible correction, retesting, and preventive follow-up.

SkillDynamo Training Approach

Delivery combines course-specific demonstrations, guided hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, peer review, and a final improvement plan. Learners document assumptions, settings, data, outputs, exceptions, corrective actions, rollback needs, approvals, evidence, and operational responsibilities.