Huawei HCIE-Storage H13-629_V3.0 New Questions

The course states: “The survey phase includes determining the project scope and collecting design data. Understanding customer needs and project details, and identifying key stakeholders are key success factors in providing designs that meet customer needs. In this phase, the project scope and business objectives are determined.” This directly matches every element of the statement. The survey stage occurs before conceptual design, HLD, and LLD and is intended to establish the technical and business baseline for the entire storage project.

The course further explains that early discussions must cover objectives, restrictions, and project risks. Engineers must evaluate factors such as performance, availability, scalability, cost, and risk because these directly affect subsequent design decisions. Requirements that cannot be met must be discussed with key business personnel before the design proceeds.

This prevents incorrect storage sizing, unsuitable networking, insufficient availability, or a data-protection architecture that fails to meet actual service requirements. Therefore, determining scope, gathering design data, understanding customer requirements and project details, identifying stakeholders, and defining business objectives are all explicitly part of the Huawei survey phase.

Study Guide Topics: Storage Planning and Design → Basic Phases → Survey → Conceptual Design → HLD → LLD.

Huawei states: “LUN information exchange refers to the mapping between LUNs and data volumes. That is, when the LUN IDs of the source LUN and target LUN remain unchanged, the data volume IDs of the source data volume and target data volume are exchanged.”

Therefore, A, B, C, and D are all correct.

Before the exchange, the source LUN ID points to its original source data volume, which validates C. During the information exchange, the logical LUN identifiers remain stable but their associated physical data-volume IDs are exchanged, validating D. Consequently, after the exchange, the source LUN ID—the identity already known by the host—now references the target data volume, validating A.

During synchronization before the swap, SmartMigration uses dual-write and DCL technologies to keep the target LUN consistent while host services continue. Once synchronization is complete, space is exchanged and the migration relationship is interrupted/split. At that stage, normal host writes continue against the migrated target data rather than maintaining the previous dual-write synchronization relationship, which validates B.

Study Guide Topics: Data Migration Solution → SmartMigration → Data Synchronization → LUN Information Exchange → Data Volume ID Exchange → Pair Split.

Huawei explicitly states under Working Principle of the Mirroring Function of Volume Management Software:

“Add the target storage to a VG before the mirroring.”

“Run the lvconvert command to mirror LVs.”

“After the mirroring, remove the source storage and the data migration is complete.”

Therefore, the correct answer is B. lvconvert.

In an LVM-based migration, both the source and target physical volumes are made available within the appropriate volume group. lvconvert converts the existing logical-volume layout into a mirrored configuration so that LVM creates and synchronizes another copy of the logical volume on the target storage.

The HCIE Lab Guide also demonstrates lvconvert during the migration workflow. Once synchronization is complete, the mirror can later be split, allowing the target-side image to become the active migrated copy while the original source-side image can be preserved temporarily for rollback.

lvmigrate, hrmirror, and lvexport are not the command used by Huawei ' s documented Linux LVM migration workflow for creating the mirror.

Study Guide Topics: Data Migration Solution → Host Volume Management Software → Linux LVM → Volume Mirroring → lvconvert.

The flash-storage course describes database applications as having 8 KB I/O, with random reads accounting for 70%, and identifies OLTP as a workload suitable for caching hot, random small-I/O data.

The financial-file material also states that small-file aggregation is applicable to “small check image files in carrier and financial scenarios.” This is inconsistent with option C ' s characterization of document imaging as being dominated by GB-level large-file writes.

Financial OLTP workloads are highly transactional and typically produce small, random I/O with identifiable hot regions, which matches the training material ' s OLTP/SmartCache model. Backup and archiving workflows are throughput-oriented and therefore favor larger sequential transfers, while restoration reverses the dominant direction toward reads. OLAP workloads process substantial datasets and consequently emphasize large sequential read operations.

The directly retrieved training passages do not reproduce the complete four-row financial workload table verbatim, but they specifically support the OLTP pattern and contradict the large-file characterization in option C.

Study Guide Topics: Data Storage Technology Presentation → Typical Application Scenarios → Financial Services → OLTP/OLAP → Document Imaging → I/O Characteristics.