Huawei HCSA-Presales-Storage V4.0 H19-308_V4.0 Exam Dumps: Updated Questions & Answers (August 2026)

The statement is false because the NameNode in an HDFS architecture is not responsible for storing actual user data. HDFS consists mainly of a NameNode, multiple DataNodes, and clients. The NameNode manages the file system namespace, metadata, directory structure, file permissions, and block mapping information. It knows which DataNodes hold the blocks of each file, but it does not store the file data itself. The DataNodes are responsible for storing actual data blocks and handling read/write requests from clients under the coordination of the NameNode. In Huawei distributed storage scenarios, this distinction is important because metadata management and data storage are separated to improve scalability and reliability. Therefore, saying that the NameNode is responsible for data storage is incorrect.

Mainstream disaster recovery protection solutions are usually designed across multiple infrastructure layers. The host layer is included because application servers, operating systems, clusters, and host multipathing must support failover and service recovery. The network layer is included because production and DR sites require reliable inter-site connectivity, routing, bandwidth, latency control, and network failover design. The storage layer is also a core DR layer because data replication, consistency groups, snapshots, and storage failover are implemented at the storage system level. Application-layer protection can exist in some specialized application-aware DR designs, but in the mainstream Huawei storage DR protection model, the commonly emphasized layers are host, network, and storage. Therefore, the correct choices are host layer, network layer, and storage layer.

According to Huawei’s BCManager and HyperReplication guides, " incorrect " statements must be identified to understand the distinction between disaster recovery (DR) and active-active solutions. Option B is incorrect because while HyperMetro supports automatic transparent failover (zero RTO) using a Quorum Server, standard synchronous remote replication typically requires manual intervention or third-party management software to trigger a switchover when the primary site fails. In synchronous replication, the secondary LUN is usually in a read-only state and cannot take over automatically without administrative action.

Option D is incorrect because it describes an " Active-Active " state. In a standard Remote Replication pair, only the primary LUN is accessible for host I/O (Read/Write), while the secondary LUN is locked to maintain data consistency. Only the HyperMetro feature allows both LUNs in the pair to provide simultaneous read and write services to application servers across different sites. Regarding distance, while asynchronous replication is physically less constrained, synchronous and HyperMetro technologies are strictly limited by latency (typically requiring round-trip time < 10ms and distance within 100km to 300km depending on the specific product line) to avoid severe application performance degradation.

Huawei’s SmartQuota feature allows administrators to manage storage consumption at the directory, user, or user-group level using three types of thresholds:

Hard Quota (800 GB): This is a strict limit. Once the used capacity reaches this value, the storage system will immediately prevent any further write operations to that directory. Therefore, Option D will occur.

Soft Quota (700 GB): This is a flexible limit combined with a grace period. When the limit is exceeded, the system issues an alarm but continues to allow data writes until the grace period expires or the hard quota is reached. Therefore, Option B will NOT occur.

Advisory Quota (600 GB): This is purely for monitoring and reporting. When reached, the system simply triggers an administrative alarm or notification; it never restricts data writes . Therefore, Option C will NOT occur.

Option A is also correct because the directory is part of a 1 TB file system; it can never exceed the physical size of its parent container. Thus, only B and C are the actions that " will NOT occur. "

Backup networking modes describe how backup data moves between production hosts, backup servers, storage systems, and backup media. LAN-Based backup sends backup traffic through the production Ethernet network, which is simple but may consume service bandwidth. LAN-Free backup moves backup traffic through a dedicated storage network, usually SAN, reducing pressure on the production LAN. SAN-Based backup uses SAN connectivity to improve backup throughput and isolate backup traffic from ordinary service traffic. Server-Free backup further reduces host involvement by allowing storage systems or backup infrastructure to move data more directly, minimizing the performance impact on application servers. Huawei data protection designs commonly classify backup networking by these modes because each mode has different cost, performance, complexity, and service-impact characteristics. Therefore, all four listed modes are valid backup networking modes.

Huawei provides tailored solutions for Medical PACS based on the specific performance and scale requirements of healthcare providers. OceanStor Dorado NAS (Option D) is recommended for the " Hot Data " or active tier of a PACS system. Because medical images between 100 KB and 1 MB require high-concurrency access and extremely low latency for immediate clinical review, the FlashLink® technology and all-flash architecture of the Dorado series provide the necessary IOPS to prevent bottlenecks during peak hours.

OceanStor Pacific (Option C) is the primary recommendation for the massive, long-term unstructured data storage required by PACS. A single hospital can generate petabytes of data over several years. OceanStor Pacific’s scale-out architecture allows it to handle billions of small files efficiently using a global namespace, and its high-ratio Erasure Coding (EC) ensures maximum capacity utilization and lower TCO for archives. While Hybrid Flash (Option A) can be used, it is often superseded by the superior performance of Dorado or the superior scalability of Pacific in modern medical environments. FusionCube (Option B) is an HCI solution more suited for edge computing or virtualization rather than specialized, large-scale medical imaging repositories.

Huawei OceanStor Pacific scale-out storage is positioned around three key selling points: always efficient, always cost-effective, and always-on services. “Always efficient” refers to its distributed architecture, multi-protocol access, high throughput, and capability to handle massive unstructured data workloads. “Always cost-effective” reflects its ability to use high-density storage, erasure coding, and flexible redundancy policies to reduce the cost per terabyte for large-scale data. “Always-on services” refers to high availability features such as node-level fault tolerance, multi-site protection, and fast service recovery. Option D is incorrect because tolerating the failure of seven out of eight controllers is associated with high-end OceanStor Dorado controller reliability, not OceanStor Pacific scale-out node protection. Therefore, A, B, and C are the correct key selling points.

The statement is true. Flash-to-flash-to-anything, or F2F2X, describes Huawei’s modern data protection approach in which both production data and important backup data can be kept on flash-based storage for high performance, while older or colder data can be tiered or archived to other media. The first “flash” represents high-performance primary storage for business applications. The second “flash” represents fast backup storage, which improves backup and recovery speed compared with traditional disk or tape-only designs. The “anything” part means that data can later be moved to other storage targets such as disk, tape, cloud, or object storage according to cost, retention, and compliance requirements. This model balances fast recovery for critical data with economical long-term retention.

This statement aligns with the market analysis provided in Huawei’s OceanStor Pacific pre-sales documentation regarding the " Yottabyte Era " . Huawei highlights that the nature of data is shifting away from structured databases toward massive volumes of unstructured data, such as high-definition video, medical images, IoT sensor logs, and AI training datasets.

By 2025, it is projected that 80% of new data generated will be unstructured. This trend is the primary driver behind the development of the OceanStor Pacific series, which is a scale-out distributed storage system specifically designed to handle the capacity and performance requirements of unstructured data at scale. Traditional centralized arrays (SAN/NAS) are often ill-equipped to handle the sheer volume and file counts associated with this growth, necessitating the move toward distributed architectures that can scale horizontally to hundreds of petabytes.

This statement is false because it confuses RTO (Recovery Time Objective) with RPO (Recovery Point Objective). In Huawei’s Disaster Recovery (DR) documentation, these two metrics are defined as follows:

RPO (Recovery Point Objective): Refers to the maximum amount of data loss an organization can tolerate, measured in time. It indicates the " point in time " to which data must be recovered (e.g., " we can only lose 1 hour of data " ).

RTO (Recovery Time Objective): Refers to the duration of time within which a business process must be restored after a disaster. It measures how long the system can be down before the business is significantly impacted (e.g., " the system must be back online within 4 hours " ).

The question describes the " point in time " (RPO) but labels it as RTO. In a high-availability solution like HyperMetro , the RTO and RPO are both theoretically zero, meaning no data loss and no downtime.