H13-511_V5.5 HCIA-Cloud Computing V5.5 Exam Questions and Answers

Huawei FusionCompute leverageshardware-assisted virtualization technologiessuch asIntel VT-x, EPT, and AMD-V, which significantly reduce the overhead associated with CPU and memory virtualization.

Memory virtualization traditionally involved complex software-based address translation, which introduced performance overhead. With hardware-assisted features such asExtended Page Tables (EPT), memory mapping is handled directly by the CPU, improving efficiency and performance.

This approach is explicitly highlighted in HCIA–Cloud Computing materials as a key reason why FusionCompute delivers near-native performance for virtual machines.

Therefore, the statement isTRUE.

In FusionAccess, full copy desktops are created by completely copying the template into an independent virtual machine. After the VM is created, it no longer depends on the template.

According to HCIA–Cloud Computing materials:

Modifying or deleting a full copy template does not affect already provisioned desktops.

Only linked clone desktops depend on the template and snapshot chain.

Therefore, the statement is FALSE.

The statement describes the fundamental operation of the Von Neumann architecture, which serves as the core foundation for modern server hardware used in cloud computing environments. In the official Huawei HCIA-Cloud Computing curriculum, specifically under the "Server Basics" module, the distinction between volatile and non-volatile storage is emphasized as a critical hardware concept. The Central Processing Unit (CPU) acts as the primary compute engine but cannot execute instructions directly from secondary storage devices, such as Hard Disk Drives (HDDs) or Solid State Drives (SSDs), due to the massive latency gap between CPU clock speeds and disk access times.

Therefore, for any task to be performed, the relevant programs and data must first be loaded into the system memory, or Random Access Memory (RAM). RAM provides the high-speed, low-latency access required for the CPU to fetch and execute instructions efficiently. However, RAM is volatile, meaning all stored data is lost when the power supply is interrupted. To ensure long-term preservation and data persistence, processed results or saved files must be written back to external or secondary storage. These storage devices are non-volatile and provide the capacity needed to store operating systems, applications, and user data across reboots. In a cloud environment, such as one utilizing Huawei FusionServer Pro, this cycle of data movement between storage and memory is critical for maintaining system performance. The memory acts as a high-speed buffer for active tasks, while the storage provides the persistent layer. Understanding this hardware interaction is vital for cloud administrators because virtualization performance often hinges on the balance between memory capacity and storage I/O throughput.

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The HCIA–Cloud Computing syllabus defines clear terminology for virtualization components.

The Guest OS is the operating system installed and running inside a virtual machine. It operates as if it were running on physical hardware, but all hardware access is abstracted by the hypervisor.

The hypervisor (A) is the virtualization layer that manages physical resources and virtual machines.

The host OS (B) is the operating system running on the physical server (in hosted virtualization models).

The host machine (D) refers to the physical server itself.

Therefore, the correct answer is Guest OS.

Huawei FusionCompute provides a comprehensive virtualization platform with advanced management and scheduling capabilities.

Ais true. FusionCompute supportsdynamic resource adjustment, including CPU and memory scaling, helping applications adapt to workload changes.

Bis true. FusionCompute supportsx86 and Arm architectures, multiple storage backends, and mainstream operating systems such as Linux and Windows, ensuring broad application compatibility.

Cis true. SLA policies allow administrators to define priorities for virtual machines, ensuring that critical applications receive sufficient resources.

Dis true. FusionCompute supportsautomatic VM migration (such as DRS-like features)based on predefined policies to balance workloads and optimize system performance.

All listed statements correctly describe FusionCompute capabilities.

According to the Huawei HCIA-Cloud Computing curriculum, statement C is FALSE regarding the architecture of a datastore. While a datastore is indeed a logical repository similar to a file system, it does not "combine storage devices of different types" into a single unified model. In FusionCompute, a datastore has a strict 1-to-1 relationship with its underlying storage resource. For example, a datastore created on an FC SAN LUN is separate from a datastore created on an NFS share or a local disk. You cannot merge a LUN from a SAN and a folder from a NAS into a single "Datastore" entity. Each datastore is formatted with a specific file system (like VIMS for block storage or NFS for file storage) that is native to that specific storage type.

The other statements represent the core principles of storage virtualization in the Huawei ecosystem. Statement A is true; LUNs from Huawei's distributed block storage (FusionStorage) are presented to hosts as block devices and can then be initialized as VIMS datastores. Statement B is a fundamental definition ofVirtualized Storage: the hypervisor uses a cluster file system (VIMS) to hide the complexities of the hardware, allowing each VM to exist simply as a set of files (configuration files, disk files like .vhd, and log files) inside a directory.

Statement D is also correct; storage virtualization significantly improves utilization through technologies likeThin Provisioning. In a traditional environment, if you allocate 100GB to a server, that space is "locked." In a virtualized environment with thin provisioning, the datastore only consumes the actual physical space being used by the data, allowing administrators to "over-allocate" storage and maximize the efficiency of their physical disk arrays.

According to the Huawei HCIA-Cloud Computing training material, system encapsulation is a vital process when creating a "Golden Image" for Full Copy virtual desktops. The primary tool used for this in Windows environments is Sysprep (System Preparation Tool). Statement A is TRUE because the fundamental purpose of Sysprep is to "generalize" the operating system. This process removes computer-specific information, such as the Security Identifier (SID), computer name, and specific hardware drivers. If multiple VMs were cloned from a template without this step, they would all share the same SID, leading to domain conflict issues and security vulnerabilities in an enterprise Active Directory environment.

Statement B is alsoTRUE. Sysprep includes a functionality to reset the Windows Product Activation clock (often referred to as a "rearm"). This allows the cloned virtual machines to start their grace period anew upon their first boot, which is essential for large-scale deployments before the KMS (Key Management Service) or other volume licensing activation takes place. Statement C is incorrect because encapsulation is the process of preparing an image, not the installation itself; while cloning from a template saves time, "encapsulation" does not perform the installation. Statement D is incorrect because administrators typically install all necessary service software and driversbeforeor during the Audit Mode phase of Sysprep to ensure the final template is fully equipped.

In the Huawei FusionAccess workflow, encapsulation is the penultimate step before converting the VM into a template. By stripping the uniqueness of the source VM, Sysprep ensures that every Full Copy desktop provisioned to an end-user starts as a clean, unique instance that can successfully join the corporate domain and receive independent security policies.

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According to the Huawei HCIA-Cloud Computing documentation, security groups act as a distributed virtual firewall for Virtual Machines (VMs). Statement C is FALSE because FusionCompute allows a single Virtual Machine (or more specifically, a virtual NIC) to belong to multiple security groups simultaneously. This multi-group association allows for tiered security policies, such as having one security group for general web traffic and another for specific management access. When a VM belongs to multiple groups, the rules from all groups are aggregated to determine the final access control list.

Statement D is alsoFALSEbecause of the terminology regarding the "creation" location. In the FusionCompute architecture, security groups are logical objects created and managed within theVRM (Virtual Resource Management)portal, not "on the VMs" themselves. A security group exists independently of any specific VM; administrators create the group and define its rules first, and then they associate VMs with that group. Furthermore, users do not add rules "on VMs"; they add rules to the security group object in the management plane, which the system then automatically pushes to the corresponding CNA hosts where the VMs are running.

The other statements are technically accurate. Statement A is correct as Huawei’s security groups utilize the underlying LinuxiptablesorOVS (Open vSwitch)flow rules to filter packets at the hypervisor level. Statement B is also true; a VM's security group membership can be modified dynamically while the VM is in a running state without requiring a restart or causing a service interruption. This flexibility is a key feature of Huawei’s software-defined networking, allowing for real-time security adjustments in a dynamic cloud environment.

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In the official Huawei HCIA-Cloud Computing curriculum, specifically within the "Huawei Virtualization Platform Management" module, the lifecycle and resource adjustment of Virtual Machines (VMs) are covered in detail. While virtualization provides significant elasticity, certain physical-to-logical mappings have technical constraints. According to the training materials, while you can add disks or increase the capacity of an existing virtual disk (expansion), disk capacity cannot be reduced once it has been allocated and formatted by the Guest Operating System.

The reason for this limitation is rooted in data integrity. Reducing a disk's size at the virtualization layer (CNA/VIMS) would involve "chopping off" the end of the logical block range. Since the Guest OS manages the file system and may have placed metadata or data at the end of that range, shrinking the disk from the outside would almost certainly result in file system corruption and data loss. Therefore, Huawei FusionCompute does not provide a "shrink" function for virtual disks. If a user needs a smaller disk, they must create a new, smaller disk and migrate the data at the application level.

In contrast, other resources offer more flexibility. NIC quantities (A) can be reduced by deleting a virtual network adapter from the VM configuration. CPU resources (C) and Memory resources (D) can be adjusted in the VM settings; while increasing them is common, they can also be reduced (typically requiring a VM restart to allow the Guest OS to re-initialize the hardware map). This distinction is a key exam point: compute resources are elastic in both directions (with reboot), but storage capacity in FusionCompute is strictly "expand-only" to protect user data.

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FusionCompute uses aunified storage abstraction model. Regardless of whether the backend storage is SAN, NAS, local disks, or distributed storage, FusionComputeencapsulates storage resources into datastores.

This abstraction simplifies management and allows virtual machines to consume storage in a standardized manner. While statements A, B, and C describe correct individual concepts,D best represents the core architectural principleemphasized in HCIA documentation.

Therefore, the correct answer isD.

According to the Huawei HCIA-Cloud Computing technical guidelines, storage is categorized by its connection method and the protocol used to access data. Direct Attached Storage (DAS) is the most basic form, where storage devices are connected directly to a single server via an internal bus or external cable. While simple, it lacks the scalability and resource-sharing capabilities required for modern cloud data centers. Network Attached Storage (NAS) provides file-level access over a standard IP network, typically using protocols like NFS or CIFS, allowing multiple clients to share a central pool of files over a local area network.

The Storage Area Network (SAN) is a specialized, high-speed network that provides block-level access to storage, making it appear to the operating system as a locally attached disk. In Huawei’s virtualization solutions, SANs are the preferred choice for high-performance clusters and features like VM Live Migration. As the statement correctly identifies, SANs are primarily divided into two types based on the transport protocol used: Fibre Channel (FC) SANs and IP SANs. FC SANs utilize dedicated fiber-optic cables, FC switches, and Host Bus Adapters (HBAs) to transmit data using the Fibre Channel protocol, offering extremely high reliability and minimal latency. Conversely, IP SANs utilize standard Ethernet infrastructure and the iSCSI protocol to encapsulate SCSI commands into IP packets. This allows for lower costs and easier management by leveraging existing Ethernet knowledge. Understanding these distinctions is crucial for the HCIA exam, as the choice between FC and IP SAN directly impacts the deployment architecture and performance characteristics of Huawei's FusionCompute and FusionAccess solutions in an enterprise environment.

According to the HCIA–Cloud Computing documentation forFusionCompute installation, theVirtual Resource Management (VRM)node plays a critical role in managing virtualization resources such as hosts, virtual machines, and clusters.

Huawei recommends deploying theVRM system disk on local storage. The main reasons are reliability and independence. Local storage ensures that VRM can still start and function even if shared storage services (such as SAN or NAS) encounter issues. This improves management plane stability and reduces dependency on external storage systems.

Although IP SAN, FC SAN, and NAS are commonly used for VM data storage, they arenot recommended for VRM system deployment. HCIA materials clearly emphasize that VRM should rely onlocal disksto guarantee management availability.

Therefore, the correct answer isLocal storage.

According to the Huawei HCIA-Cloud Computing curriculum, specifically the "FusionAccess Planning and Deployment" section, the statement is TRUE. When an enterprise scales its desktop cloud across multiple regions or deploys separate FusionAccess environments (each with its own ITA/HDC/DB set), there is often a requirement to share a single license pool to optimize costs and management.

In a standard small-scale deployment, the License component is typically co-deployed with theITA (IT Adapter). However, if multiple independent FusionAccess systems (different clusters or management sets) need to draw from the same license file, the License component must be "de-coupled" from any specific ITA anddeployed independentlyas a standalone service. This standalone License Server acts as a centralized repository that tracks the total number of permitted desktop users or VMs. Each FusionAccess system is then configured to point to this central server's IP address.

This independent deployment model ensures that license seats are not "trapped" in one specific system. For example, if System A has 500 licenses but only 200 active users, and System B is at its limit, a centralized license server allows System B to utilize the excess capacity. This flexibility is a core architectural principle in Huawei’s large-scale VDI solutions. During deployment planning, administrators must decide whether to use a local license (co-deployed) or a centralized license (independent). For multi-system environments, the independent deployment is the official Huawei recommendation to ensure proper license reconciliation and to prevent "over-use" or "under-use" of purchased ICT assets across the enterprise.

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FusionCompute supportsmemory overcommitmentto improve overall memory utilization in virtualized environments. The supported technologies include:

Memory sharing

Memory ballooning

Memory swapping

According to HCIA–Cloud Computing materials, after enabling memory overcommitment incluster resource control, administrators mustselect at least one memory overcommitment mechanismto take effect.

Therefore, the statement correctly describes FusionCompute behavior and isTRUE.

According to the HCIA–Cloud Computing curriculum, the evolution of cloud computing architecture reflects changes intechnology openness, business importance, resource scale, and data characteristics.

OptionAis correct because early cloud platforms were often proprietary and closed, while modern cloud computing architectures increasingly adoptopen-source technologies(such as OpenStack and Kubernetes) and open architectures to improve interoperability and innovation.

OptionBis also correct. Cloud computing initially hostednon-critical workloadssuch as testing, development, and backup systems. As reliability, security, and availability improved, cloud platforms became capable of supportingmission-critical enterprise applications, including ERP, financial systems, and core business services.

OptionDcorrectly describes the evolution of cloud architecture. Early virtualization focused onsmall-scale resource integration, while modern cloud computing emphasizeslarge-scale resource pools, enabling centralized management, elastic scheduling, and efficient utilization of massive compute, storage, and network resources.

OptionCisfalse. The evolution of cloud computing data has movedfrom structured data to semi-structured and unstructured data, not the other way around. With the rise of big data, IoT, social media, logs, images, and videos, cloud platforms are increasingly designed to processmassive volumes of unstructured and semi-structured data, which is a key trend emphasized in HCIA learning materials.

According to the HCIA–Cloud Computing virtualization domain,KVM (Kernel-based Virtual Machine)andXenare both examples ofhardware-assisted virtualizationtechnologies.

Hardware-assisted virtualization relies on CPU extensions such asIntel VT-xandAMD-Vto improve virtualization performance and isolation. Both KVM and Xen leverage these CPU features.

KVMis implemented as akernel modulewithin the Linux operating system. Once loaded, the Linux kernel itself becomes a hypervisor, managing CPU and memory virtualization with hardware support.

Xenalso relies on hardware virtualization features and interacts closely with the operating system kernel, especially in full virtualization and hardware-assisted modes.

Because the statement correctly describes both thevirtualization typeand theimplementation approach, it aligns with HCIA documentation and isTRUE.

In OpenStack:

Swiftprovidesobject storage, designed for storing unstructured data such as images, videos, and backups.

Cinderprovidesblock storage, which is used by virtual machines as virtual disks.

Since Swift doesnotprovide block storage, the statement isFALSE.

According to the Huawei HCIA-Cloud Computing technical guidelines for FusionAccess Service Provisioning, assignment types dictate the persistence and reusability of virtual desktops. The scenario described—where a VM cannot be re-assigned after being unassigned—points specifically to the "Assign a Computer to a User" (Single User/Static) assignment type.

In a "Single User" (1:1) assignment model, a permanent bond is created between a specific user and a specific Virtual Machine. This is the hallmark of Full Copy desktops used for persistent work environments. When an administrator "unassigns" a user from such a desktop, the VM is essentially "locked" to the user's previous data and profile settings to prevent data leakage or configuration contamination. In many Huawei VDI security policies, a VM that was once statically assigned to an individual contains personalized information that is not automatically wiped. Therefore, it cannot be simply "re-assigned" to another user without a manual cleanup or deletion and re-provisioning process.

In contrast, "Pooled" or "Multiple User" (1:N) assignments are designed for reusability. In those modes, once a user logs off or is unassigned, the VM returns to a common pool and is immediately available for the next user. The "Assign a Computer to a User" mode is prioritized for high-security or high-personalization roles where the desktop is treated like a physical PC. Huawei's documentation clarifies that for Full Copy VMs in a 1:1 relationship, the unassignment process typically signifies the end of that VM's specific lifecycle for that user. Understanding this behavior is crucial for administrators to avoid "resource stranding," where VMs remain in the system but cannot be assigned to new staff due to the persistence constraints of the 1:1 assignment model.

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1-B, 2-A, 3-C, 4-D

According to the Huawei HCIA-Cloud Computing documentation, FusionAccess application policies are critical for tailoring the virtual desktop experience to specific security and performance requirements. The Huawei Desktop Protocol (HDP) management interface allows administrators to configure granular controls over data flow, display quality, and session behavior.

For Scenario 1, setting Clipboard Redirection to "Client to Server" ensures a one-way data flow. This allows users to copy text or files from their local physical client into the virtual machine (VM) while preventing the extraction of data from the VM back to the local device, thus protecting sensitive corporate information. In Scenario 2, the Display Policy Grade determines the balance between visual fidelity and network consumption. Grade 5 is the highest setting, designed for high-performance networks (25 Mbit/s or higher), and is optimized for server-side video decoding to provide the best possible playback quality.

Scenario 3 addresses security during periods of inactivity. By enabling the "Automatic Screen Lock" under the Session policy, the system monitors user input and automatically secures the desktop if no activity is detected within the specified interval (such as 10 minutes), preventing unauthorized access to an unattended terminal. Finally, Scenario 4 utilizes File Redirection to control external hardware access. By setting this policy to "Read-only" and enabling "Client Removable Driver," users can view and open files stored on their local USB flash drives within the VM environment but are strictly prohibited from saving or modifying any data back onto those physical devices. These configurations demonstrate the robustness of Huawei’s VDI policy engine in balancing user productivity with stringent security protocols.

Terminal Security

➡Security hardening customized for TC systems

Focuses on endpoint protection

Prevents data from being stored locally on thin clients

Enhances terminal OS security and access control

Transmission Security

➡Security gateway firewall

Protects data during network transmission

Controls and filters access traffic

Prevents unauthorized access and attacks during desktop access

Cloud Security

➡Security watermark and secure deletion

Ensures data traceability through watermarks

Prevents data leakage

Guarantees secure deletion of cloud-side data

Forsmall-scale office scenarios (≤100 users), the HCIA–Cloud Computing FusionAccess deployment guidelines recommend asimplified architecturethat balances availability and cost.

Deployingone integrated vAG + vLB VM on each CNA nodeprovides:

Basichigh availability

Reduced VM count

Simpler deployment and maintenance

Sufficient performance for small user规模

Separate deployment of vAG and vLB or multiple integrated VMs is more suitable formedium and large-scale environments.

Therefore, the recommended solution istwo CNA nodes, each deployed with a VM that integrates the vAG and vLB.

(Note: The original question contained a typo. As requested, "host OS" has been corrected to "guest OS" because Linux, in this scenario, is the Guest operating system.)

In the official Huawei HCIA-Cloud Computing curriculum, the architecture of a virtualized system is divided into the Host Machine and the Guest Machine. TheHost Machineis the physical server (hardware) and the virtualization software (CNA in FusionCompute). TheGuest Machineis the Virtual Machine (VM) created by the hypervisor. According to the training materials, theGuest OSis the operating system that is installed and executed within the virtualized environment of a VM.13

Therefore, if a VM running Linux is created, the Linux operating system is the Guest OS, and it runs specifically inside theLinux VM. The VM acts as a logical container that provides the Linux OS with virtualized CPU, memory, storage, and network resources.14From the perspective of the Linux OS, it believes it is running on a dedicated physical server, but in reality, it is encapsulated within the VM boundary provided by the CNA.

The other components mentioned have different roles:CNA (Computing Node Agent)is the "host" software that manages the hardware and hosts the VM, but the Linux OS does not run "in" the CNA directly; it runs in the VM managed by the CNA.VRM (Virtual Resource Management)is the management platform used by administrators to create and configure the VM.VNA (Virtual Node Agent)is a process within the CNA that handles management commands from the VRM. In the Huawei certification logic, it is crucial to distinguish between the "Container" (the VM) and the "Occupant" (the Guest OS). The Guest OS is always tied to the VM environment, which ensures logical isolation and mobility across the cloud infrastructure.

In FusionAccess,templates must not be joined to a domain.

HCIA–Cloud Computing materials specify that:

Templates are created in aworkgroup environment.

Domain joining is performed during desktop provisioning, not at the template stage.

Joining a template to a domain can cause conflicts such as duplicate computer accounts.

Therefore, the statement isFALSE.

Emerging Technology

Feature / Application Scenario

Edge computing

The number of street lamps continues to increase, and these street lamps hold billions of cameras and environment sensors, which generate frequent and heavy data for processing, analysis, and storage.

Blockchain

Transparent rules, automatic settlement, and E2E tracking of goods all the way from production to final acceptance make the supply chain trustworthy. Electronic proof of delivery (PoDs) reduces paperwork delays. Smart contracts enable automatic settlement to improve efficiency.

Cloud native

Organizations or enterprises build and run scalable applications in public, private, and hybrid clouds.

According to the Huawei HCIA-Cloud Computing curriculum, emerging technologies like Edge Computing, Blockchain, and Cloud Native are reshaping modern IT infrastructures to handle data more efficiently and securely. In the context ofEdge Computing, the massive proliferation of IoT devices in smart cities—such as billions of cameras and environmental sensors mounted on street lamps—creates a data influx that traditional centralized clouds cannot process in real time without significant latency. Edge computing solves this by moving processing and storage capabilities physically closer to the data sources, allowing for nearly instantaneous response times for critical urban systems like traffic management and public surveillance.

Blockchaintechnology provides a decentralized, distributed ledger that is transformative for global supply chain management. By creating a "single source of truth" that is transparent and immutable, it enables end-to-end (E2E) tracking of goods from production to the final consumer. A core feature is the use ofsmart contracts, which are automated, self-executing rules that trigger settlements and payments immediately upon meeting conditions like electronic proof of delivery (PoD), thereby eliminating intermediaries and reducing paperwork delays.

Finally,Cloud Nativerepresents an architectural approach designed to fully exploit the cloud computing model. The official definition from the Cloud Native Computing Foundation (CNCF) states that these technologies "empower organizations to build and run scalable applications in modern, dynamic environments such as public, private, and hybrid clouds". By utilizing independent microservices and portable containers, cloud-native applications achieve the high availability, elasticity, and rapid deployment speed required to meet evolving business needs across diverse infrastructure types.

This statement is TRUE and covers two fundamental concepts within the Huawei HCIA-Cloud Computing curriculum: resource locality and High Availability (HA).

First, the statement addresses the constraint ofresource locality. In the current architecture of Huawei FusionCompute (and most mainstream virtualization platforms), a single Virtual Machine (VM) cannot "span" its core compute resources (vCPU and RAM) across multiple physical hosts simultaneously. For instance, if a physical host has 128GB of RAM, you cannot create a single VM with 256GB of RAM, because that VM’s memory address space must be mapped to the physical DIMMs of a single physical server to maintain performance and synchronization. Therefore, the maximum specifications of a VM are always bounded by the physical hardware limits of a single host within the cluster.

Second, the statement accurately describes theHigh Availability (HA)function. While a running VM is tied to one host, cloud computing overcomes this physical dependency through cluster-level management. When theVRM (Virtual Resource Management)node detects that a physical host has malfunctioned (via heartbeat loss), it triggers the HA policy. Since the VM’s disk files are stored on shared storage (like a SAN or NAS), the system "assigns" the VM to a different healthy host in the same cluster. The VM is then automatically restarted on that new host, which provides the necessary CPU and memory resources to resume services.

This combination of strict host-level resource allocation for execution and cluster-level flexibility for recovery is what allows Huawei’s cloud solutions to provide stable, enterprise-grade infrastructure. Understanding that compute resources are provided by a "single host" at runtime, but protected by the "cluster" during a failure, is a core objective of the HCIA-Cloud Computing certification.

According to the Huawei HCIA-Cloud Computing technical manual, the statement is TRUE. A Virtual Local Area Network (VLAN) is a technology used at the Data Link Layer (Layer 2) to partition a physical switch or a network into multiple logical segments. In a traditional local area network, all devices connected to the same set of switches belong to a single broadcast domain. This means that any broadcast packet (such as an ARP request) is sent to every single port, which can lead to "broadcast storms" and security vulnerabilities as the network scales.

VLAN technology solves this by logically dividing the physical infrastructure. Each VLAN acts as its own independent broadcast domain. Even if two hosts are physically plugged into the same switch, if they belong to different VLANs (e.g., VLAN 10 and VLAN 20), they cannot communicate directly at Layer 2. A broadcast sent by a host in VLAN 10 will only be received by other hosts in VLAN 10. This isolation provides two major benefits in a cloud environment:SecurityandEfficiency. Security is enhanced because traffic from one department or tenant is logically separated from others, preventing unauthorized sniffing. Efficiency is improved by reducing unnecessary broadcast traffic, which preserves bandwidth and CPU cycles on the connected hosts.

In Huawei’s virtualization platform,FusionCompute, VLANs are a critical component of "Distributed Virtual Switches" (DVS). When administrators create port groups for Virtual Machines, they often assign a VLAN ID to that group. This ensures that the virtual machines are logically placed in the correct network segment. For hosts in different VLANs to communicate, a Layer 3 device (like a router or a Layer 3 switch) must perform "inter-VLAN routing." This strict separation at the logical level is what allows cloud providers to host multiple tenants on shared physical hardware securely.

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Huawei FusionAccess is a maturecloud desktop (VDI)solution with broad access capabilities and architecture support.

OptionsA,C, andDare all correct according to HCIA–Cloud Computing materials.

OptionBis false. Although FusionAccess usesHDP (Huawei Desktop Protocol)and supports high-resolution displays (including 4K),HDP is not open source. It is aHuawei proprietary protocoloptimized for cloud desktop scenarios.

Therefore, the false statement isB.

According to the Huawei HCIA-Cloud Computing curriculum and the FusionAccess Maintenance Guide, the statement is FALSE. While it is a recommended best practice to restart infrastructure virtual machines (VMs) approximately once every quarter to clear system cache, refresh memory resources, and ensure long-term stability, the method of execution described in the statement is incorrect and dangerous for production environments.

Infrastructure VMs in FusionAccess—such as theWI (Web Interface),HDC (Huawei Desktop Controller),ITA (IT Adapter), andGaussDB (Database)—are the "brains" of the desktop solution. Most of these components are deployed in active/standby or load-balancing pairs to ensure High Availability (HA). If an administrator were to run the reboot command on all Linux infrastructure VMs "at the same time," it would cause a complete service interruption. During this period, users would be unable to log in to their desktops, the management portal would be inaccessible, and active desktop sessions might lose their connection persistence.

The official Huawei documentation mandates astaggered restartapproach. For example, if there are two WI nodes, the administrator should restart the first node, verify it has returned to service, and only then proceed to restart the second node. This ensures that the "Service Plane" remains active at all times. Additionally, restarts should always be performed during off-peak hours to minimize the impact of the brief transition period between active and standby nodes. Therefore, while the frequency (quarterly) is correct, the instruction to restart them all simultaneously contradicts the fundamental principles of high-availability management within the Huawei ICT framework.

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In Linux-based virtualization environments, aTAP deviceis a software-based virtual network interface that operates atLayer 2of the OSI model.

TAP devices are independently maintained by the Linux kernel and are commonly used to connect virtual machines to virtual switches or bridges. They simulate physical Ethernet interfaces, allowing VMs to send and receive Ethernet frames.

This definition aligns with HCIA–Cloud Computing networking fundamentals, so the statement isTRUE.

In FusionCompute architecture,CNAandVRMhave clearly defined deployment models.

OptionAis false.CNA is deployed only on physical servers(compute nodes). It is responsible for interacting directly with hardware resources and cannot run inside a VM.

OptionBis true. When VRM is deployed on physical servers,active and standby VRM nodes must be installed on separate physical serversto ensure high availability.

OptionCis true. When VRM is deployed on virtual machines, the active and standby VRM VMs must be placed ondifferent hosts within the management clusterto avoid single points of failure.

OptionDis true. VRM supports deployment oneither physical servers or virtual machines, providing flexible management options.

Therefore, the correct answers areB, C, and D.

According to the Huawei HCIA-Cloud Computing curriculum regarding Open Source Virtualization, statement D is FALSE. Libvirt is famously an open-source toolkit and API, licensed under the LGPL. It was specifically designed to provide a stable, long-term abstraction layer for managing different virtualization technologies. It is not a proprietary or "closed-source" product. In fact, its open nature is what allowed it to become the industry standard for managing Linux-based hypervisors.

The other statements accurately describe Libvirt's role in a cloud environment. As noted in statement A, Libvirt is "hypervisor-agnostic," meaning it can manage multiple types of virtualization, including KVM, Xen, QEMU, and even LXC containers. This allows management tools to use a single set of commands regardless of the underlying technology. Statement B is correct because Libvirt provides bindings for numerous programming languages, such as Python, C, and Java, enabling developers to automate VM lifecycle management (start, stop, migrate, snapshot) directly through code. Statement C is also true; Libvirt is essentially a collection of library functions and a daemon (libvirtd) that higher-level management platforms, such as Huawei'sFusionComputeor the open-sourceOpenStack, invoke to communicate with the hardware.

In Huawei's virtualization architecture, Libvirt acts as a crucial middle layer. By using the virsh command-line tool (which is part of the Libvirt package), administrators can perform complex VM operations without needing to understand the specific, low-level command syntax of each different hypervisor. Understanding that Libvirt is open-source and provides this universal management interface is a key learning point for the HCIA exam.

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