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Huawei H13-511_V5.5 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Cloud Computing Security	15%	- Compliance and Regulations - Security Architecture - Security Best Practices - Cloud Security Threats
Topic 2: Cloud Computing Fundamentals	15%	- Cloud Computing Deployment Models - Cloud Computing Concepts and Evolution - Benefits and Challenges of Cloud Computing - Cloud Computing Service Models (IaaS, PaaS, SaaS)
Topic 3: Cloud Computing Technologies	25%	- Network Virtualization - Virtualization Technology - Server Virtualization - Distributed Storage Technology - Desktop Virtualization
Topic 4: Huawei Cloud Computing Solutions	30%	- FusionAccess Overview - Cloud Computing Platform Architecture - FusionStorage Overview - Product Features and Functions - FusionCompute Overview
Topic 5: Cloud Computing Applications	15%	- Operation and Maintenance - Business Scenarios - Solution Design

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Huawei HCIA-Cloud Computing V5.5 Sample Questions (Q18-Q23):

NEW QUESTION # 18
Which of the following are the correct description of the relationship between Host Machine and Guest Machine? (Multiple choice)

A. After using virtualization technology, multiple Guest Machines can be run on one Host Machine.
B. After using virtualization technology, a Guest Machine can only run on the Host Machine that created it
C. After using virtualization technology, a Host Machine can only run one Hypervisor
D. After using virtualization technology, a Guest Machine can use the resources of multiple Host Machines at the same time

Answer: A,C

NEW QUESTION # 19
Programs and data must be loaded into memory for CPU processing, and then be placed on external storage for long-term preservation.

A. FALSE
B. TRUE

Answer: B

Explanation:
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.

NEW QUESTION # 20
Which of the following statements is false about centralized storage and distributed storage?

A. Distributed storage adopts a scalable system architecture and enables multiple storage servers to share the storage load, improving scalability, reliability, availability, and access efficiency.
B. Centralized storage has a simple deployment structure. It can leverage the redundant array of independent disks (RAID) technology to ensure data security and reliability.
C. In terms of technical architectures, centralized storage can be classified into network attached storage (NAS) and storage area network (SAN). SANs are further divided into Fibre Channel storage area networks (FC SANs) and IP storage area networks (IP SANs).
D. Distributed storage stores data on multiple independent devices. During data reading, data is read from these devices at the same time, affecting read efficiency.

Answer: D

Explanation:
In the Huawei HCIA-Cloud Computing curriculum, specifically within the "Storage Technology Basics" module, the comparison between centralized and distributed storage is a fundamental topic. Statement A is FALSE because it incorrectly suggests that reading data from multiple independent devices simultaneously has a negative impact on read efficiency. According to the official technical documentation, the opposite is true: distributed storage utilizes a parallel I/O architecture. When a data request is made in a distributed system (such as Huawei FusionStorage), the system retrieves data blocks from multiple nodes at once. This concurrency significantly improves the overall throughput and read/write speed of the system rather than
"affecting" it negatively.
The other statements are technically accurate according to Huawei standards. Centralized storage (Statement B) is indeed known for its simpler deployment and reliance on traditional RAID levels (0, 1, 5, 6, 10) to protect against disk failures within a single controller or enclosure. Statement C correctly outlines the taxonomy of centralized storage, distinguishing between file-level NAS and block-level SAN (which includes both FC and IP variants). Statement D accurately describes the core value proposition of distributed storage:
its ability to scale out by adding more commodity hardware nodes. By spreading the storage load across a cluster, distributed storage eliminates the performance bottlenecks often found in centralized controllers and enhances system reliability through multi-replica or erasure coding mechanisms. In Huawei's cloud solutions, distributed storage is the preferred architecture for large-scale resource pools because it ensures that performance scales linearly with capacity, providing the high availability and efficiency required for modern virtualized data centers.

NEW QUESTION # 21
The KWM virtual machine can be created through a graphical interface or a command line.

A. True
B. False

Answer: A

NEW QUESTION # 22
Which of the following descriptions about Huawei FusionCompute HA is wrong?

A. If the data of the virtual machine is saved in the shared storage, the unsaved data will not be lost when a failure occurs
B. The administrator can set different HA policies according to the importance of the virtual machine.
C. This function supports automatic restart after a virtual machine failure
D. The system periodically checks the status of the virtual machine. When the failure of the CNA host causes the failure of the virtual machine, the system can migrate the virtual machine to other CNA hosts in the cluster and restart it to ensure that the virtual machine can recover quickly.

Answer: D

NEW QUESTION # 23
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