Huawei H13-624_V5.5 Exam With Confidence Using Practice Dumps

The *HCIP-Storage V5.5 Training Material (Module 5: Storage System Maintenance and Troubleshooting)* addresses controller faults in Huawei flash storage systems, such as OceanStor Dorado: “A faulty controller is a critical issue that requires immediate attention, as it can impact system performance, redundancy, or availability. Even if the fault is common (e.g., a single controller failure in a dual-controller setup), emergency handling is necessary to replace the controller and restore full redundancy to prevent potential service disruptions.” The statement that no emergency handling is needed is false, as controller faults always warrant prompt action to ensure system reliability.

The *HCIP-Storage V5.5 Training Material (Module 5: Storage System Maintenance and Troubleshooting)* discusses fault rectification: “The replacement method, which involves swapping components to identify faults, is effective for hardware issues but not suitable for all fault types (e.g., software or configuration errors). It requires trained maintenance personnel with knowledge of system architecture and safety procedures to avoid service disruptions.” The statement that it can address any fault type and has no special personnel requirements is false, as the method is limited and demands expertise.

The statement describes the reliability mechanism of Huawei’s scale-out storage systems, such as the OceanStor Pacific series, which employ cabinet-level security to enhance data availability. According to the *HCIP-Storage V5.5 Training Material (Module 3: Scale-Out Storage Technologies)*, scale-out storage systems use distributed architectures with N data blocks and M parity blocks stored across different cabinets to ensure redundancy. This design leverages erasure coding (EC) or similar mechanisms to tolerate faults. The material explicitly states: “In a scale-out storage system, N+M redundancy ensures that if up to M nodes or M disks fail, the system can reconstruct data without interruption or loss. However, if M cabinets fail, the system may lose the ability to access sufficient parity or data blocks, potentially interrupting services.” This confirms that the system can handle M node or disk failures without issue, but M cabinet failures may disrupt services due to the loss of distributed data or parity blocks. Therefore, the statement is true.