H13-629_V3.0 Exam Dumps : HCIE-Storage V3.0

Huawei ' s storage architecture emphasizes distributed active-active processing, in which requests are distributed across controllers for parallel processing. The course states that adding controllers results in automatic balancing of existing LUN or file-system services and that global cache and pool resources are shared among controllers. The architecture also specifically describes “load balancing among all controllers and auto-rebalancing upon scale-out, failover, and failback.” These principles support A, C, and D. Increasing CPU processing capability addresses compute saturation directly. Adding processing modules or parallel service resources increases the number of resources available to execute service workloads concurrently. Where multiple CPUs or processing resources exist, workload distribution is essential to prevent one processor from becoming saturated while another remains underused.

Reducing the data-block buffer size is not a CPU optimization mechanism. It can instead reduce buffering efficiency and potentially increase I/O-processing overhead.

Study Guide Topics: Flash Storage Technology Presentation → SmartMatrix Distributed Active-Active Architecture → Parallel Processing → Global Resource Sharing → Load Balancing → Scale-Out.

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.

Huawei explains that a file-system snapshot is a point-in-time copy. When source data changes, ROW writes the new data to another location while the snapshot continues to reference the original data, thereby preserving the source file system ' s state at snapshot creation time.

The statement is TRUE. Snapshot rollback changes the active file-system data state back to the selected protection point. Active NAS clients must therefore not continue issuing file operations against the source file system while that authoritative state is being replaced. The host share is unmounted before rollback so that active client I/O cannot conflict with restoration of snapshot metadata and data mappings.

The HCIE materials also show the same operational consistency principle in rollback workflows: upper-layer service access is stopped before storage state is reverted. In the Lab Guide ' s rollback procedure, the first action is to stop upper-layer service access and unmount the relevant file system before storage mappings are changed.

This ensures that the post-rollback file system presents one internally consistent point-in-time image when service access resumes.

Study Guide Topics: Data Storage Technology Presentation → HyperSnap → File System Snapshot → ROW → Snapshot Rollback → NAS Data Consistency.