Huawei  H13-624 Exam Dumps & Practice Test Questions

Question 1:

A team member recommends using SmartMigration to boost write performance on specific LUNs. Under what circumstances is this recommendation feasible?

A. This cannot be done in any scenario
B. This approach works under all conditions
C. This method is effective in certain scenarios
D. This offers only a short-term improvement

Answer: C

Explanation:

SmartMigration is a specialized feature available in enterprise storage solutions like Huawei OceanStor. Its primary purpose is to allow seamless data movement from one storage resource to another without interrupting application operations. It is especially valuable when organizations want to optimize performance, balance workloads, or relocate data from aging infrastructure to more efficient platforms.

When considering performance improvement—especially write performance—SmartMigration may play a beneficial role. However, it’s important to understand that it is not universally effective in every environment. The feature's actual impact depends on numerous variables, such as the nature of the workload, the underlying hardware, system configuration, and the source and target of the migration process.

Let’s evaluate the answer choices:

A claims that SmartMigration is never a viable solution. This is inaccurate. There are documented cases where SmartMigration significantly improves write performance, especially when moving data from slower disks (like traditional HDDs) to faster storage devices (such as SSDs or NVMe). Additionally, it helps in load balancing by redistributing data across less utilized resources, which can enhance overall write speeds.

B implies that SmartMigration is guaranteed to work in every situation. This too is incorrect. If the storage bottleneck is caused by external factors—like limited network bandwidth, CPU saturation, or software limitations—migrating data between disks will not resolve the issue. Therefore, SmartMigration cannot universally ensure better write performance.

C is correct. SmartMigration can improve write performance in specific situations, particularly when the existing LUN is located on a slow disk or an overloaded storage pool. If the data is moved to a faster or less utilized resource, the performance benefits can be considerable. This, however, depends entirely on a case-by-case analysis of the environment.

D suggests that SmartMigration only offers a temporary solution. This is a misunderstanding. Although the migration process itself is temporary, the performance gains achieved after migrating to a more optimized or modern storage tier can be long-lasting. Therefore, it's not inherently a short-term fix.

In summary, SmartMigration is a powerful tool that, when used appropriately, can improve write performance. It’s especially helpful in environments where performance is degraded due to outdated or overloaded storage systems. However, its success is context-dependent, which is why the best answer is C—SmartMigration is effective in some situations.

Question 2:

A gaming company uses Huawei OceanStor all-flash systems with FlashLink technology. Which of the following accurately describe the characteristics of FlashLink’s multi-core technology?

A. Virtual nodes are tied to specific CPUs to minimize cross-CPU overhead
B. Read/write I/O operations are separated from other types to avoid resource conflicts
C. Each request is handled by one core from start to finish, using a lock-free process
D. Storage performance scales linearly with increases in CPU and core counts

Answer: A, B, C, D

Explanation:

Huawei’s FlashLink technology is purpose-built for high-performance environments, especially those requiring ultra-low latency and massive throughput, such as real-time gaming platforms. A key component of FlashLink is its intelligent multi-core architecture, which ensures that data access processes are both efficient and scalable.

Each of the statements describes a critical part of this system’s optimization mechanism. Let’s analyze them one by one:

A is accurate. FlashLink uses virtual nodes (vNodes) that are explicitly bound to specific CPU cores. This strategic binding minimizes the performance penalty often caused by inter-CPU data transfers and scheduling delays. By reducing cross-CPU traffic, the system avoids unnecessary processing overhead, which directly contributes to faster and more reliable data handling.

B is also correct. In FlashLink's design, read and write I/O operations are placed into distinct groups, separating them from metadata or control operations. This segregation ensures that performance-critical I/O paths do not interfere with one another. This isolation significantly reduces I/O contention and enables more predictable, low-latency performance—an essential factor for platforms that rely on consistent throughput like online games.

C is valid and demonstrates the system’s lock-free design. In this model, once a processing core is assigned a request, it handles that request through to completion without transferring it to another core. This lock-free architecture prevents delays that typically occur due to thread locking or core switching. The result is smoother request handling, decreased latency, and increased efficiency.

D correctly highlights FlashLink’s scalable nature. The multi-core processing technology is engineered so that as additional CPUs or cores are added to the system, performance improves proportionally. This linear scalability ensures that storage infrastructure can grow with rising demand, which is critical for applications like gaming that continuously face higher user loads and real-time data requirements.

In summary, Huawei’s FlashLink technology integrates an intelligent multi-core structure that enhances CPU utilization, reduces interference, and ensures requests are processed quickly and efficiently. All four statements accurately represent how FlashLink optimizes data flow and scalability. Therefore, the correct answer is A, B, C, D.

Question 3:

A server is connected to a storage device via a Fibre Channel SAN, but it fails to detect any of the LUNs assigned to it after scanning. What could be the possible reasons for this issue?

A. The Fibre Channel module on the server is malfunctioning
B. Multipathing software has not been installed on the server
C. Zoning is improperly configured
D. The connection is being blocked by a firewall

Answer: A, B, C

Explanation:

When a service host connected to a Fibre Channel SAN fails to recognize its assigned LUNs after a scan, it often indicates underlying issues with the hardware setup, software configuration, or Fibre Channel zoning. Understanding the root causes can help in quickly resolving the connectivity problem.

A is a valid reason. If the Fibre Channel module—commonly the Host Bus Adapter (HBA)—on the server is damaged or not functioning correctly, it can disrupt the communication path between the server and the storage device. The HBA is responsible for managing the Fibre Channel protocol and initiating storage communications. A faulty module would prevent the server from seeing or accessing any mapped LUNs.

B is also correct. Multipathing software is crucial in SAN environments, especially for high availability and redundancy. It allows a server to recognize and manage multiple paths to a single storage resource. Without it, the server might only see partial connections or may not recognize any LUNs at all, particularly in environments where paths are load-balanced or failover configurations exist.

C is another likely cause. Zoning in a Fibre Channel SAN restricts which devices can communicate with each other. Zones must be properly set up to include both the initiator (the host) and the target (the storage). If zoning is misconfigured or if the server is not added to the correct zone, it will not be able to access the storage device and therefore will not detect any LUNs.

D, however, is not a valid cause. Fibre Channel communication operates outside of the IP-based network stack, meaning it does not depend on or interact with typical firewalls that govern IP traffic. Firewalls generally apply to TCP/IP-based communication and are irrelevant to Fibre Channel SANs, which work at a different protocol level. Hence, a firewall blocking traffic would not impact Fibre Channel operations.

In conclusion, the most likely causes of the LUN detection issue are a malfunctioning Fibre Channel module, missing multipathing software, or incorrect zoning configuration. A firewall would not interfere with Fibre Channel-based connectivity. Therefore, the correct options are A, B, and C.

Question 4:

Which of the following statements about global deduplication is incorrect

A. Deduplicated copies across different storage policies use the same DDB
B. Deduplicated copies in different storage policies share the same disk library and deduplication settings
C. Deduplicated copies in different storage policies utilize the same deduplication pools as the backup target
D. All storage policies involved must have identical backup data retention periods

Answer: D

Explanation:

Global deduplication is a technology used to optimize storage by identifying and eliminating duplicate data blocks across different backup jobs and storage policies. This process significantly reduces the overall storage footprint and improves backup efficiency. It relies on a shared infrastructure that allows different components of the backup system to reference common data blocks instead of storing them repeatedly.

A is true because deduplication across different storage policies requires a shared Deduplication Database (DDB). The DDB is responsible for tracking unique and duplicate data chunks. When various storage policies are configured under a global deduplication framework, they can access the same DDB, ensuring that identical data is only stored once, regardless of which policy performs the backup.

B is also correct. For global deduplication to be effective, the different policies must use the same disk library and deduplication configuration. If deduplication parameters such as block size or compression method differ, the system may treat similar data as unique, defeating the purpose of deduplication. Using a unified disk library ensures data blocks are processed consistently.

C is valid as well. Deduplication pools serve as logical containers where deduplicated data resides. When multiple storage policies write backups to the same deduplication pool, they benefit from the shared pool of deduplicated data. This setup ensures maximum space efficiency and enables effective global deduplication.

D, however, is incorrect and is the false statement. Global deduplication does not require all storage policies to have the same data retention periods. Each policy can define its own retention schedule based on organizational needs, such as regulatory requirements or backup cycles. The deduplication system will manage the reference counts for each data block accordingly and only remove data when all references (from different policies) to a block expire. Retention is independent of deduplication and does not interfere with the elimination of redundant data.

Therefore, the incorrect—or false—statement is D, making it the correct answer to the question.

Question 5:

An enterprise runs several applications including desktop virtualization, database storage, video-on-demand (VoD), and backup services. These applications demand substantial storage resources. The company now plans to implement deduplication and compression features. 

Which of the following configuration recommendations are most appropriate in this scenario?

A Deduplication and compression should be avoided for VoD workloads since video files are already compressed and further compression would yield little benefit.
B Deduplication is suitable for desktop virtualization as there is significant data duplication among virtual machine images.
C Compression is advised for database workloads due to the large data volumes involved.
D Deduplication is unsuitable for backup operations because all backed-up data must be preserved without alteration.

Answer: A, B, C

Explanation:

In enterprise storage optimization, deduplication and compression play essential roles in conserving capacity and improving efficiency. However, their applicability varies depending on the workload type. Let's evaluate each scenario based on technical practicality and efficiency.

A is correct. In the case of VoD, media files are typically already compressed by encoding software such as H.264 or H.265. These files contain little redundancy and further compression or deduplication will not significantly reduce size. Moreover, attempting to recompress such files can actually lead to increased processing overhead without meaningful storage gains. This makes additional optimization techniques like deduplication inefficient for VoD.

B is correct. Desktop cloud environments often involve dozens or hundreds of virtual machines (VMs) using similar operating system images, libraries, and application stacks. This results in a high level of redundant data across the storage system. Deduplication is particularly effective in this context, as it eliminates repetitive blocks, drastically reducing the total storage footprint. Many enterprise virtualization platforms actively leverage deduplication for this reason.

C is also correct. Database systems manage large quantities of structured data, much of which contains repeating patterns and is ideal for compression. While databases can be performance-sensitive, compression algorithms designed for such environments typically strike a balance between space savings and read/write efficiency. This allows enterprises to store more data within the same capacity, making compression a beneficial technique for database storage.

D is incorrect. Contrary to the statement, deduplication is widely used in backup scenarios and can be very effective. Backup systems, especially those using incremental or differential methods, often contain multiple versions of nearly identical files. Deduplication eliminates these redundancies without violating retention policies. Storage systems can keep all required backup points while physically storing only one copy of identical data blocks, resulting in massive storage savings. Deduplication does not prevent full data retention; it only optimizes how that data is stored.

Thus, deduplication and compression are selectively valuable depending on the use case. The best configurations are reflected in options A, B, and C.

Question 6:

When using Huawei OceanStor 9000 in a file-sharing environment, which of the following elements directly impact the performance experienced by client systems?

A Application behavior
B Feature settings
C Network used for service delivery
D OceanStor 9000 hardware specifications

Answer: A, B, C, D

Explanation:

The performance of file-sharing systems such as Huawei OceanStor 9000 is influenced by multiple layers of the infrastructure stack. From the applications accessing the storage to the underlying hardware and network topology, each element plays a crucial role in the overall client experience.

A is correct. The application layer influences performance based on how it interacts with the storage system. For instance, applications that frequently read or write large files, or generate high I/O operations per second (IOPS), place heavy demand on the storage. File sizes, access patterns, concurrency levels, and caching mechanisms all contribute to how efficiently the OceanStor 9000 responds to requests.

B is correct. Feature configuration refers to how the OceanStor system is set up in terms of services like deduplication, compression, caching, and RAID settings. Some features, while offering benefits such as storage savings, can introduce latency if not aligned with the workload. For example, enabling deduplication for high-throughput file-sharing environments might slow down performance unless proper caching or tiering is implemented. Likewise, compression can help in storing more data but must be tuned to avoid impacting access speed.

C is correct. The network connecting clients to the OceanStor 9000 plays a critical role. File sharing relies on consistent and low-latency connectivity. Bottlenecks such as limited bandwidth, high jitter, or congestion can degrade performance, regardless of how capable the storage system itself is. Network protocols (e.g., NFS, SMB) and switch configurations also affect file access times and throughput.

D is correct. The hardware specifications of the OceanStor 9000, including CPU power, RAM capacity, disk type (e.g., SSD vs. HDD), and controller performance, are central to determining how well it can handle concurrent file operations. Systems equipped with SSDs and higher memory often deliver better random I/O performance, which is essential in file-sharing workloads with multiple users.

In conclusion, performance in OceanStor 9000 file-sharing environments is multi-faceted. All four factors—application characteristics, system configuration, network infrastructure, and hardware resources—interact to shape client experience. Therefore, the correct answer is A, B, C, and D.

Question 7:

Which of the following features is not a capability offered by Huawei’s HyperMetro technology?

A. Data zero copy
B. FastWrite
C. Memory ballooning
D. Optimized cross-site access

Answer: C

Explanation:

Huawei’s HyperMetro is a high-availability, active-active storage solution that provides synchronous data replication between two geographically separated storage systems. This solution ensures continuous data access and automatic failover, making it ideal for mission-critical applications and environments requiring zero recovery time objectives (RTO).

To determine which feature is not supported by HyperMetro, it's essential to understand what each listed option entails and whether it aligns with the scope of what HyperMetro is designed to deliver.

A. Data zero copy is a technique used to improve performance by reducing redundant data movements between memory and storage. In many storage solutions, including HyperMetro, data-handling optimizations often involve minimizing the number of times data is copied. While HyperMetro focuses on data replication, it may incorporate techniques such as zero-copy mechanisms to streamline data movement and ensure high performance. This aligns with the goal of reducing latency and maximizing throughput.

B. FastWrite is another capability closely tied to HyperMetro. This feature enhances write performance by enabling the system to commit writes at both sites simultaneously before acknowledgement, reducing I/O wait times and improving overall response. FastWrite is particularly beneficial in scenarios with write-intensive workloads and is supported as part of the HyperMetro performance optimization toolset.

C. Memory ballooning, however, is unrelated to storage systems. It is a virtualization memory management technique used by hypervisors like VMware or Hyper-V to dynamically allocate memory resources to virtual machines based on demand. This allows for better utilization of host memory in a virtualized environment. Since HyperMetro is a storage replication solution and not a hypervisor or memory manager, it has no function or support for memory ballooning. This makes it the correct answer to the question.

D. Optimized cross-site access is a core feature of HyperMetro. By maintaining synchronous data copies at both active sites, the system enables clients to access data from the nearest available site, improving access speed and reducing network latency. This contributes to load balancing, reliability, and site resiliency, which are primary objectives of deploying HyperMetro.

In conclusion, the feature that is not supported by Huawei’s HyperMetro is memory ballooning, because it pertains to VM memory allocation, which falls outside the functional scope of storage replication technologies.

Question 8:

Is the approach of selecting “All available disks” and then manually choosing specific ones a correct method when creating disk domains?

A. True
B. False

Answer: B

Explanation:

In Huawei OceanStor and similar enterprise storage systems, the concept of a disk domain involves creating a logical grouping of physical disks to organize how storage resources are allocated, managed, and optimized. Disk domains play a crucial role in performance optimization, data distribution, and fault tolerance across the storage infrastructure.

When administrators initiate the process of creating a disk domain, they typically have a few options for selecting which physical disks will be included. These include manual selection, policy-based automatic selection, or selecting all available disks in the system.

The statement in question refers to a method where the user first selects “All available disks” and then proceeds to manually select specific disks from that set. This approach introduces a logical inconsistency. The intent of the “All available disks” option is to automatically include all unassigned, available disks in the new domain. Once this option is selected, there’s no need—nor is it standard practice—to go back and manually reselect disks. Doing so would negate the efficiency and purpose of the initial automatic selection.

In fact, using such a hybrid manual-automatic approach can create confusion in the configuration process and might violate best practices. Huawei’s disk domain creation interfaces are designed to simplify administration. Users can either:

• Let the system intelligently group disks based on disk type, performance characteristics, and available capacity, or

• Manually select specific disks when custom configurations or hardware-level constraints demand it.

However, mixing both methods in the same operation—selecting all disks and then manually filtering them—is not recommended and is not a supported or documented workflow. It may even result in unintended disk assignments or warnings in the configuration interface.

Ultimately, the correct approach is to either select all disks automatically or select specific disks manually based on precise system requirements. Attempting to combine both steps does not follow the intended operational flow of the storage management tools.

Therefore, the statement is false. You should not select "All available disks" and then attempt to manually select disks. That approach contradicts standard disk domain creation logic in Huawei OceanStor systems.

Question 9:

Is it possible for HyperClone to allow write operations on both the primary and the secondary LUNs?

A. True
B. False

Correct answer: B

Explanation:

HyperClone is a functionality offered in Huawei's OceanStor storage systems that facilitates the creation of a duplicate or "clone" of a primary Logical Unit Number (LUN) for purposes like testing, backup, and development, all while ensuring the live production environment is unaffected. This clone mimics the original LUN and is created with the goal of being usable without interfering with the operational data on the primary LUN.

When it comes to how write operations are handled, it's essential to distinguish between the primary and secondary LUNs. The primary LUN serves as the active data container in use by applications and systems. All real-time data writes and updates happen on this LUN. It maintains the integrity of the production workload and is fully writable.

On the other hand, the secondary LUN created by HyperClone is generally not meant for write operations. Instead, it is typically used in a read-only mode. Its primary function is to serve as a duplicate snapshot of the primary LUN that can be accessed for reading without interfering with ongoing writes on the primary. This design ensures the stability and consistency of the clone while minimizing the risk of corruption or conflicts.

Even though HyperClone can synchronize changes from the primary to the secondary LUN to maintain data consistency, this process is managed by the system itself. Direct write access to the secondary LUN is not supported in most use cases. Doing so would introduce complexity and potential data integrity risks, which is why HyperClone architecture restricts such operations.

This read-only behavior of the secondary LUN is also crucial in use cases like backup testing or analytics, where users may need a reliable view of the data at a specific point in time but don’t require or want to make changes.

Thus, the correct conclusion is that HyperClone does not support writing to both the primary and secondary LUNs. Only the primary is writable, while the secondary remains read-only to maintain consistency and stability.

Question 10:

Can the hot spare policy for a storage pool be modified after the pool has been created?

A. True
B. False

Correct answer: B

Explanation:

In most enterprise-grade storage environments, including Huawei's OceanStor systems, configuring a hot spare policy is a critical step during the creation of a storage pool. A hot spare is a disk that remains idle until another drive in the system fails, at which point the spare automatically takes over to maintain redundancy and data protection.

The hot spare policy determines how spare drives are reserved and utilized. This configuration includes the number of spare drives, their scope (global vs. dedicated), and whether they should be automatically engaged when a failure occurs. These settings ensure that any disruption due to disk failures can be addressed quickly and automatically.

However, one of the important limitations of this system is that the hot spare policy is not dynamically changeable once the storage pool has been created and the policy applied. This limitation stems from how storage systems handle disk allocations and redundancy. Once disks are assigned roles—whether as active, spare, or reserved—the data layout and redundancy schema are defined around that configuration.

Attempting to change the hot spare policy after the pool is live would require a reconfiguration of the entire storage layout. This might involve redistributing data, altering RAID groups, or even taking parts of the system offline, which could pose significant risks to data availability and integrity. Therefore, most vendors restrict modifications to such foundational configurations post-deployment.

Furthermore, allowing hot spare policy changes dynamically would introduce complexity in managing disk usage, failure recovery, and storage performance. This could impact system reliability, especially in environments where uptime and data safety are paramount.

For these reasons, storage administrators are strongly advised to carefully plan and set the hot spare policy during the initial configuration phase. Any subsequent changes typically involve advanced operations, possibly including the recreation of the storage pool or migrating data to a new pool with the desired settings.

Therefore, the statement that a hot spare policy can be changed later is incorrect. Once set, it cannot be modified without significant reconfiguration. The correct answer is B.