What fault-tolerance practices are common in CRC data processing?

• A. Redundant processors, duplicate data paths, regular backups, and automatic failover mechanisms
• B. Single-point-of-failure design
• C. Manual-only recovery
• D. Frequent hardware replacements only

Answer: (A)

Fault tolerance in CRC data processing relies on redundancy and automatic recovery to keep operations running despite failures. Redundant processors provide spare compute power so processing can continue without interruption if one processor fails. Duplicate data paths ensure that if a network link or route goes down, data can still flow through an alternative path, avoiding a single point of failure. Regular backups protect data integrity and allow quick restoration to a known-good state after an incident. Automatic failover mechanisms continuously monitor system health and switch processing to standby resources without requiring manual intervention, minimizing downtime.

The other approaches fall short: relying on a single point of failure creates risk of total disruption, manual-only recovery introduces delays and human error, and hardware replacement alone doesn’t ensure continuous operation or data protection.