Huawei H13-611 Exam Dumps & Practice Test Questions

Question 1:

Which three of the following represent the core layers that make up a storage system? (Select three options.)

A. Storage Analysis
B. Storage Solution
C. Storage Software
D. Storage Hardware

Correct Answers: C, D, B

Explanation:

Modern storage systems are constructed from multiple layers that work in harmony to store, manage, and protect data efficiently. These layers can broadly be categorized into software, hardware, and integrated solutions. Each component plays a crucial role in the overall functionality and performance of the storage system.

C. Storage Software is one of the fundamental layers. It serves as the control plane that manages data storage and access across the infrastructure. This layer includes applications and services that offer data virtualization, redundancy, access permissions, deduplication, and backup. It also allows administrators to create policies and automate storage tasks. Examples include file systems, RAID controllers, and Software-Defined Storage (SDS) platforms.

D. Storage Hardware constitutes the physical layer. It includes storage devices such as HDDs, SSDs, and hybrid drives, as well as storage arrays and enclosures. These devices physically hold the data. They’re often configured in complex environments such as NAS (Network Attached Storage) and SAN (Storage Area Network), where scalability, performance, and reliability are crucial.

B. Storage Solution refers to the combined package of both hardware and software, forming a cohesive, often vendor-specific, offering. Solutions are designed to meet certain workloads, capacity requirements, and performance standards. A storage solution might include integrated management tools, data protection features, and scalability options tailored for enterprises or small businesses.

A. Storage Analysis, although useful, is not considered a core layer. Instead, it’s a supporting tool used to monitor storage usage, track performance metrics, and provide analytics for planning and troubleshooting. It helps improve efficiency but doesn’t contribute directly to data storage or access.

In summary, the three foundational layers of any modern storage system are Storage Software, Storage Hardware, and Storage Solution. These layers collectively provide the architecture necessary for managing vast amounts of data across various environments.

Question 2:

Which of the following is not considered a benefit of using a converged storage system?

A. A single system can offer both block and file storage capabilities
B. Reduction in physical space requirements due to integration
C. Enhanced data protection over non-converged systems
D. Unified management of all storage resources

Correct Answer: C

Explanation:

Converged storage systems are an innovation in IT infrastructure that combine compute, storage, and networking into a unified solution. They are designed to streamline operations, reduce complexity, and improve hardware utilization by consolidating various technologies into a single system.

A. The ability to support both block and file storage is indeed a key benefit. Many converged storage systems feature unified storage architectures that allow them to handle both storage types within the same appliance. This makes them more flexible and efficient, especially in environments with mixed workloads such as databases (block storage) and file sharing (file storage).

B. Saving physical rack space is another legitimate advantage. Traditional data centers often have separate hardware for servers, storage, and networking. Converged systems eliminate this need by integrating everything into fewer physical devices. This leads to reduced power consumption, less cabling, and more efficient use of rack space.

D. Unified storage management is a hallmark of converged systems. With centralized management software, administrators can oversee all aspects of storage—allocation, monitoring, scaling, and troubleshooting—from a single interface. This reduces administrative overhead and increases productivity.

C. Improved data protection, however, is not an automatic benefit of convergence. While some converged systems may offer strong backup, replication, or disaster recovery features, these are not guaranteed simply because a system is converged. In fact, traditional or non-converged environments can also be configured with equally strong or even superior data protection mechanisms depending on the chosen architecture and solutions.

Therefore, the belief that converged systems inherently offer better data protection is a misconception. Data protection is determined more by system design, redundancy strategies, and backup tools than by whether the environment is converged or not. Hence, C is the correct answer.

Question 3:

Which characteristics are commonly used to describe data in Big Data environments? (Select all that apply.)

A. Variety
B. Velocity
C. Verticality
D. Volume

Correct Answer: A, B, D

Explanation:

When discussing Big Data, professionals often refer to three foundational dimensions that collectively capture the scale and complexity of data—these are known as the Three Vs: Variety, Velocity, and Volume.

Variety pertains to the broad range of data types that Big Data systems must handle. This includes structured data such as relational databases, semi-structured data like JSON, XML, or log files, and unstructured data such as video, audio, social media posts, or emails. The diverse nature of these formats introduces complexities in storage, parsing, and analysis. For instance, analyzing a combination of customer support emails, purchase records, and social media comments requires different tools and methods, making variety a key defining characteristic.

Velocity refers to the speed at which data is produced, transferred, and processed. In the age of IoT devices, mobile technology, and cloud computing, data can be generated in real-time or near-real-time. For example, data from online transactions, clickstreams, or smart sensors flow into systems continuously and must be analyzed quickly to enable actions such as fraud detection or performance monitoring. Managing this constant flow and ensuring timely analysis are essential challenges in Big Data ecosystems.

Volume captures the scale or magnitude of the data involved. Big Data typically deals with terabytes, petabytes, or even exabytes of data. The explosive growth of internet usage, digital devices, and multimedia content has led to massive increases in data storage and management needs. Technologies such as Hadoop and cloud-based storage platforms have evolved precisely to handle these enormous volumes.

Verticality, while it may sound related, is not a recognized dimension in Big Data. It sometimes appears in discussions about industry-specific data applications (e.g., vertical markets like healthcare or finance), but it is not a part of the core conceptual framework used to define Big Data challenges.

In summary, Big Data is best described using the Three Vs: Variety, Velocity, and Volume, all of which highlight the complexity, speed, and magnitude of data encountered in modern analytics. Verticality, while relevant in specific contexts, does not serve as a general descriptor of Big Data. Thus, the correct answers are A, B, and D.

Question 4:

Is it true that mini SAS cables are the exclusive type of cable used to connect disk enclosures?

A. FALSE
B. TRUE

Correct Answer: A

Explanation:

The assertion that mini SAS (Serial Attached SCSI) cables are the only cables used for connecting disk enclosures is incorrect. While mini SAS cables are a popular and widely implemented option due to their speed and efficiency in storage environments, they are far from being the sole choice. Multiple other cable types are also employed depending on the specific use case, device compatibility, and performance requirements.

Mini SAS cables are indeed commonly used in enterprise environments because they offer high-speed data transfer, reliability, and support for multiple drives through a single connection. These cables are often found in direct-attached storage (DAS) configurations and are favored for their compact form factor and performance. However, they are not universally applicable, especially in consumer-level or cloud-based environments.

Another prevalent option is SATA (Serial ATA) cables. SATA is widely used in desktop and consumer-grade external storage systems. It supports a variety of drive enclosures and provides an affordable solution for moderate data transfer rates, making it a preferred choice for personal or small business storage needs.

In enterprise-grade or high-throughput scenarios, Fibre Channel cables are often the standard. These cables are designed for Storage Area Networks (SANs) and provide high bandwidth and low latency. They enable robust performance in data centers and mission-critical environments, especially where continuous data availability is crucial.

Additionally, iSCSI (Internet Small Computer System Interface) uses standard Ethernet cables to connect disk enclosures over TCP/IP networks. This protocol enables network-based storage access and is a cost-effective solution for businesses seeking to utilize existing IP infrastructure.

For high-speed external connections in professional and creative workstations, Thunderbolt cables are also used. These are common in high-performance computing setups and offer fast transfer rates with daisy-chaining support.

Therefore, while mini SAS is an important and frequently used standard in certain environments, it is not the only method of connecting disk enclosures. A wide range of technologies—such as SATA, Fibre Channel, iSCSI, and Thunderbolt—are also leveraged based on the specific needs of the storage infrastructure. The statement in question is therefore false, making A the correct answer.

Question 5:

What impact does network latency typically have on the performance of a network in an ICT architecture?

A. Low latency causes a decline in network performance
B. High latency enhances the network’s efficiency
C. High latency increases the volume of transmittable data
D. Low latency enables faster transmission of data across the network

Answer: D

Explanation:

In information and communication technology (ICT), network latency refers to the time delay that occurs when data is transferred from one point in a network to another. It is typically measured in milliseconds (ms), and it plays a significant role in determining the speed and efficiency of data communication within a system. This delay can stem from various factors, including the physical distance between endpoints, routing delays, the number of intermediate devices like switches or routers, and even network congestion.

Low latency is highly desirable in most networking scenarios. It means that the time it takes for a data packet to travel from the sender to the receiver is minimal. This leads to quicker and more efficient data transmission, which is particularly crucial for applications that require real-time responsiveness, such as video conferencing, online gaming, VoIP, and financial trading platforms. In such use cases, even a few milliseconds of delay can lead to performance issues like video buffering, audio lag, or delayed transactions.

Let’s examine the answer choices in light of this context:

A suggests that low latency degrades network performance, which is incorrect. On the contrary, low latency is ideal for ensuring smooth and efficient data flow.

B claims that high latency improves network performance, which is a common misconception. In reality, higher latency results in slower data communication, leading to a noticeable decline in performance. Tasks like page loading, live streaming, and file downloads take longer, which reduces user satisfaction and overall system responsiveness.

C states that high latency permits greater data transmission. However, latency is not directly related to data volume; instead, it affects the speed of transmission. Higher latency can actually decrease throughput because data takes longer to travel between endpoints, and systems may need to wait for acknowledgments before sending more packets.

D correctly states that low latency allows for quicker data transmission. This is because reduced delays in packet travel times mean that data can be sent, received, and responded to more rapidly. This enhances user experience and supports high-performance networking, especially in interactive or real-time applications.

In summary, low latency improves network responsiveness and performance, making it a key factor in the efficiency of any ICT-based infrastructure.

Question 6:

Which of the following statements is accurate regarding how snapshots can be mapped in the HUAWEI OceanStor V3 system?

A. Snapshots can be optionally mapped to several different hosts
B. All of the statements provided are correct
C. Snapshots can only be linked to the same host as the original LUN
D. Snapshots that are mapped are always in Read-Only mode

Answer: A

Explanation:

Snapshots are an essential feature in modern storage systems, and in the HUAWEI OceanStor V3 storage architecture, they provide the capability to create consistent, point-in-time copies of data. These snapshots are commonly used for backup, testing, data recovery, and even replication purposes. A critical functionality tied to snapshots is how they can be accessed or mapped to hosts.

Option A correctly asserts that snapshots can be mapped to multiple hosts. This flexible mapping capability enables organizations to share a snapshot with different servers or testing environments without impacting the original data or configuration. Such mapping is extremely useful for scenarios like application testing, data validation, or simultaneous data recovery operations across environments. It increases the usability and agility of data management processes within the storage infrastructure.

Option B implies that all the given statements are true. However, not all the other statements hold up under scrutiny, which invalidates this choice. In particular, both C and D contain inaccuracies, so this broad claim cannot be accepted as correct.

Option C incorrectly states that snapshots are restricted to being mapped only to the host that accessed the original LUN. This is not the case with OceanStor V3. The system allows for flexibility in mapping, and snapshots can indeed be associated with different hosts from the one that originally accessed the LUN. This makes it easier to perform cross-system validation or recovery tasks.

Option D inaccurately claims that mapped snapshots are always in a read-only state. While snapshots are often used in read-only mode for data protection, this is not a strict rule. HUAWEI’s system permits writable snapshot clones under certain conditions, allowing administrators to perform operations like restoring data and testing without impacting the source dataset.

To summarize, the ability to map snapshots to multiple hosts is a powerful feature of the HUAWEI OceanStor V3 storage system. It supports more dynamic and efficient use of snapshot data, providing IT teams with greater flexibility for recovery, cloning, and testing. Thus, option A is the most accurate statement regarding snapshot mapping behavior in this context.

Question 7:

Is it accurate to say that IP SANs rely on optical networks as their primary means of connecting servers to storage devices?

A. TRUE
B. FALSE

Answer: B

Explanation:

An IP SAN (Internet Protocol Storage Area Network) is a storage networking solution designed to transfer data between servers and storage devices over IP-based networks. While many assume that high-performance storage networks always use optical fiber due to its speed and bandwidth, this is not necessarily true for IP SANs.

The key distinction lies in the underlying transport technology. IP SANs are built around the IP protocol suite, most commonly running over Ethernet infrastructure. Ethernet-based networks can use a range of physical media, including copper cables (like Cat5e/Cat6) or fiber optics, but IP SANs do not inherently require optical networking. The primary characteristic of IP SANs is their reliance on standard IP networking technology, not on a specific type of physical cabling.

In contrast, Fibre Channel SANs are traditionally associated with optical fiber because they demand extremely high throughput and low latency. Fibre Channel uses a specialized protocol and infrastructure designed for rapid block-level data transmission, often over fiber optic cables. This setup provides exceptional performance but comes with higher costs and complexity.

IP SANs offer a more flexible and cost-effective alternative. Technologies like iSCSI (Internet Small Computer System Interface) enable block-level data transmission over standard IP networks. Organizations can deploy IP SANs using their existing Ethernet infrastructure, eliminating the need to invest in costly optical fiber networks unless specifically required for long distances or higher throughput.

Additionally, many enterprises prefer IP SANs because of their simplicity in integration, scalability, and compatibility with standard networking equipment like Ethernet switches and routers. They support a wide variety of configurations, from small-scale setups using copper Ethernet to high-performance data centers that might optionally include fiber optics—but optical networking is not a mandatory component.

Thus, the assumption that IP SANs use optical networks by default is incorrect. While they can utilize optical components where needed, they are fundamentally designed to operate over standard IP/Ethernet networks, regardless of the physical layer medium. Therefore, the correct answer is B—IP SANs do not require optical networks as a necessity.

Question 8:

What accurately defines the concept of Software-Defined Networking (SDN)?

A. Decoupling of the data plane and control plane in networks
B. Using a software program to manage your network
C. Using hardware to manage the network
D. The virtualization of network services to achieve better efficiency and scalability

Answer: A

Explanation:

Software-Defined Networking, or SDN, is a modern networking paradigm aimed at improving flexibility, programmability, and centralized control of networks. The most defining aspect of SDN is the separation of the control plane from the data plane.

Traditionally, in networking hardware like routers and switches, the control plane and data plane are integrated into a single device. The control plane decides how packets should be handled, while the data plane physically forwards the packets according to those rules. This approach, though functional, lacks centralized control and makes management cumbersome in large-scale networks.

SDN changes this by decoupling the two planes. The data plane remains with the physical devices, but the control plane is abstracted and centralized, often in a software-based SDN controller. This centralized controller determines the flow of traffic across the network and communicates instructions to the data plane devices via standardized protocols like OpenFlow.

Let’s examine the options more closely:

• A is correct because it directly identifies the central principle of SDN: separating control logic from forwarding functions to achieve centralized and dynamic control.

• B, although somewhat accurate, lacks the specificity required. Simply using software to manage a network doesn't make it SDN. Traditional network management tools also use software but do not necessarily involve architectural separation of planes.

• C is incorrect because SDN shifts focus away from hardware-centric control. Although hardware is still required, management and decision-making are primarily software-driven.

• D describes Network Function Virtualization (NFV) more accurately than SDN. While SDN and NFV are often used together in modern networks, SDN is specifically about control/data plane separation, not service virtualization.

Therefore, A is the best answer, as it encapsulates the true architectural innovation that SDN introduces to modern networking.

Question 9:

Is it possible to create a storage pool using only one tier of disks?

A. FALSE
B. TRUE

Answer: A

Explanation:

A storage pool is a logical construct that aggregates physical storage devices into a unified resource, making it easier to manage capacity, performance, and redundancy. Modern storage architectures, including those used in enterprise storage systems, support flexible configurations of storage pools depending on the use case, hardware available, and desired performance levels.

The concept of tiered storage is often employed in complex environments where disks with different performance levels—such as solid-state drives (SSDs) and hard disk drives (HDDs)—are used together. These tiers enable administrators to assign data dynamically or statically based on performance needs. High-priority workloads can reside on faster tiers (SSDs), while less-critical data might be stored on slower, more cost-effective tiers (HDDs).

However, the presence of multiple tiers is not a requirement for creating a storage pool. It is entirely feasible—and common—to build a storage pool using a single class of disks, thereby forming a single-tier pool. For instance, an organization might deploy a pool composed exclusively of SSDs to ensure consistently high-speed performance for latency-sensitive applications. Alternatively, a cost-sensitive environment might rely on a pool of HDDs only, where performance is not the top priority but capacity is.

The statement that "Storage Pools cannot be created with a single tier of disks" is, therefore, incorrect. Not only is it technically possible, but it is also practically implemented in many enterprise and mid-sized environments. When all the disks share the same characteristics (e.g., all are 10K RPM SAS drives), differentiating them into tiers would serve no purpose, and the system treats them uniformly.

The flexibility to create single-tier pools provides administrators with the freedom to architect systems tailored to specific performance or budgetary requirements. Furthermore, a single-tier design is simpler to manage and monitor, which can be beneficial in scenarios where workloads have consistent performance needs.

In conclusion, while tiered storage adds value in mixed-disk environments, storage pools are not limited to multi-tier configurations. Creating a storage pool with one tier of identical disk types is both supported and efficient, depending on the design goals.

Question 10:

In Huawei OceanStor V3 systems with RAID 2.0+, is it necessary to manually assign free disks as hot spares?

A. FALSE
B. TRUE

Answer: A

Explanation:

In Huawei OceanStor V3 storage systems, the RAID 2.0+ architecture brings enhanced automation and flexibility over traditional RAID implementations. One of the standout features of RAID 2.0+ is its intelligent management of disk failures, including the automatic handling of hot spare disks.

A hot spare disk is an unused drive kept on standby to take over in case an active disk in a RAID array fails. In older or more basic RAID setups, administrators had to manually designate which disks would serve as hot spares. This required planning and active management, especially in environments with high disk turnover or where uptime was critical.

RAID 2.0+ changes this paradigm. It automatically detects disk failures and assigns available free disks as hot spares without requiring manual intervention. This greatly reduces administrative overhead and minimizes downtime. The system proactively manages the reconstruction process by redistributing data across the surviving disks and the newly assigned spare, ensuring that redundancy is restored as quickly and efficiently as possible.

This automatic approach is part of what makes RAID 2.0+ well-suited for modern enterprise workloads. It allows IT staff to focus on higher-level system management tasks without worrying about the details of disk redundancy management during failures. The self-healing capability of RAID 2.0+ improves data availability, reduces human error, and ensures better overall system resilience.

If administrators had to manually intervene every time a disk failed, it would introduce delays in the data reconstruction process, increasing the risk of data loss in the event of a second failure. RAID 2.0+ mitigates this by enabling a rapid, automated response to failure events.

Therefore, the statement that free disks must be manually set as hot spares is false. In a Huawei OceanStor V3 system using RAID 2.0+, this entire process is automated. The system is engineered to recognize available free disks and dynamically assign them as spares whenever necessary.

This automatic management is one of the key benefits of deploying Huawei’s storage systems with RAID 2.0+, as it offers simplified administration, faster recovery, and reduced downtime in critical environments.