Huawei H13-624_V5.5 - HCIP-Storage V5.5

The OceanStor Pacific parallel file system service is designed for high-performance file access. The *HCIP-Storage V5.5 Training Material (Module 3: Scale-Out Storage Technologies)* explains: “The parallel file system aggregates small I/Os in cache to optimize latency and small file utilization. Large I/Os are forwarded to the home node, bypassing scale-out locks to reduce latency. Large I/Os use passthrough mode for direct disk writes, enhancing bandwidth. The system uses dynamic indexing, not fixed-length large-granularity indexes, to adapt to varying I/O patterns.” Let’s evaluate:

- Option A: True. The material confirms small I/O aggregation in cache for better latency.

- Option B: False. The system uses dynamic, not fixed-length, indexing, making this statement incorrect.

- Option C: True. Direct forwarding to the home node reduces lock overhead and latency.

- Option D: True. Passthrough mode for large I/Os improves bandwidth, as per the material.

Thus, option B is false.

The *HCIP-Storage V5.5 Training Material (Module 5: Storage System Maintenance and Troubleshooting)* outlines troubleshooting principles: “Basic troubleshooting principles include prioritizing high-severity alarms, analyzing external factors (e.g., network or host issues) before internal storage issues, and addressing network alarms before network element (NE) alarms to rule out connectivity issues.” Let’s evaluate:

- Option A: Correct principle. Network alarms are analyzed first to exclude external connectivity issues.

- Option B: Not a principle. The material does not prioritize general alarms over specific ones; it focuses on severity and context.

- Option C: Correct principle. Higher-severity alarms are addressed first to mitigate critical issues.

- Option D: Correct principle. External factors are checked before internal storage issues.

Thus, option B is not a basic troubleshooting principle.

This question tests knowledge of disk status indicators in Huawei OceanStor Pacific 9950 systems. The *HCIP-Storage V5.5 Training Material (Module 5: Storage System Maintenance and Troubleshooting)* provides details on disk module indicators: “A steady yellow location indicator on a main storage disk module indicates that the disk is faulty or about to fail. This status signals that the disk requires attention, such as replacement, to prevent data loss or service disruption.” The material further clarifies the following for other options:

- Option A: Incorrect. A blinking yellow indicator, not a steady one, typically indicates that the disk is being located (e.g., via DeviceManager or CLI).

- Option B: Incorrect. A steady green indicator signifies that the disk is running properly.

- Option C: Incorrect. A powered-off disk would have no indicator light or a specific power-off signal, not a steady yellow light.

Thus, option D accurately describes the disk’s status.

This question pertains to Quality of Service (QoS) features in Huawei OceanStor Pacific series storage systems. The *HCIP-Storage V5.5 Training Material (Module 3: Scale-Out Storage Technologies)* describes: “The OceanStor Pacific series supports the traffic shaping feature, which uses the classic token bucket algorithm to control the upper limit of traffic. When tokens in the bucket are insufficient, the system generates and adds tokens based on the operations per second (OPS) and bandwidth limits defined for the QoS control object.” Traffic shaping regulates data flow to prevent network congestion and ensure fair resource allocation, making it the correct feature name for this description.

SmartDedupe and SmartCompression are data reduction technologies in Huawei all-flash storage systems, such as OceanStor Dorado. The *HCIP-Storage V5.5 Training Material (Module 2: Flash Storage Technologies)* provides details:

- Option A: True. The material states: “Post-process compression involves writing data to storage media first, then reading it back for compression during idle periods.”

- Option B: True. The material confirms: “Inline deduplication divides data into blocks and calculates fingerprints to identify duplicates before writing.”

- Option C: False. The material clarifies: “Similarity-based deduplication, whether inline or background, requires dividing data into blocks to calculate fingerprints for similarity detection. Direct calculation without block division is not supported.” This makes the statement incorrect.

- Option D: True. The material notes: “Backup storage supports deduplication and compression for file systems to optimize space usage.”

Thus, option C is false.