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Huawei H13-629_V2.5-ENU Exam Syllabus Topics:

Huawei HCIE-Storage V2.5 Sample Questions:

1. Under what circumstances can distributed storage not cause refactoring?

A) Normally shut down a node
B) The hard disk is offline for 10 minutes without recovery
C) The hard disk goes offline 5 times within 10 minutes
D) Long-term damage to the hard disk

2. The Erasure code redundancy technology used in Huawei OceanStor 9000 supports higher reliability and more flexible redundancy strategies than traditional RAID algorithms. Which of the following is the wrong description of the principle of Erasure code MH?

A) When data is written, it is cut into N data blocks with the same size.
B) For every N consecutive data block, M check blocks are calculated by the Erasure Code algorithm (M<N)
C) In Erasure Code storage mode, the system supports up to N hard disk failures.
D) The system stores N+M data blocks in different hard disks in parallel.

3. There are two services, A and B, in the storage system of an Internet company that are constantly competing for cache and network resources, resulting in longer waiting times for other services. Among them, A business is a transaction processing application program, and B business is an analysis and query application program, which needs to ensure the immediate response of A business. To solve this problem, engineers configure the QoS priority of A service to be higher than that of B service.

A) TRUE
B) FALSE

4. Huawei's hybrid flash storage adopts the RAID2.0+ software architecture, which realizes the virtualization of the underlying media and the virtualization of upper-level resources, and solves the problem of rapid data reconstruction and intelligent resource allocation.

A) TRUE
B) FALSE

5. Which of the following statements about distributed storage is correct? (Multiple Choice)

A) Can support large scale horizontal scaling
B) Does not support elastic EC data redundancy protection
C) Implement storage resource pooling and virtualization
D) The capacity is expanded in units of nodes, and the computing power and storage space increase simultaneously

Solutions: