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An enterprise runs a mission-critical financial transaction service on Google Cloud backed by an AlloyDB for PostgreSQL database cluster. The organization's disaster recovery and business continuity policy specifies that the database must achieve a Recovery Point Objective (RPO) of near zero to safeguard against accidental data corruption or malicious table drops, with the ability to restore the database to any specific moment in time over the preceding two weeks.
Which backup and recovery strategy should you configure to meet these requirements?
AlloyDB continuous backup and recovery is a native data protection mechanism that continuously records incremental storage changes and transaction logs. This capability allows administrators to restore an existing cluster to any precise moment in its recent history with microsecond granularity, eliminating data loss gaps between scheduled backup intervals.
Continuous backup and recovery is the native managed solution specifically designed for relational database point-in-time recovery. It achieves an RPO of zero and provides microsecond-level recovery points without requiring custom scheduling logic, external orchestration, or disruptive full-database lock operations.
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