H13-811_V3.5 Exam Dumps : HCIA-Cloud Service V3.5

Options B, C, and D identify problems that CDN architecture is designed to mitigate. Huawei defines CDN as an intelligent virtual network built on Internet infrastructure that caches origin content on geographically distributed points of presence close to users. This substantially shortens the network path between users and frequently requested resources.

Consequently, CDN improves download speed because users can retrieve cached files from a nearby edge PoP rather than repeatedly crossing long-distance networks to the origin server. It also addresses slow website access by accelerating static content delivery, reducing latency, and improving site response and availability. Huawei specifically states that CDN breaks through bottlenecks associated with limited bandwidth, high access traffic, and uneven network-node distribution.

Caching popular content at edge nodes also reduces repeated traffic flowing through core and backbone networks. This alleviates bandwidth pressure on both the origin infrastructure and long-distance network paths.

Option A is not a CDN problem statement. CDN commonly reduces origin-server load , meaning utilization of origin resources may decrease rather than fixing a problem described as “low server utilization.” Its purpose is acceleration and traffic offloading, not increasing server utilization.

Therefore, B, C, and D are correct.

Reference topics: Content Delivery Network; Edge Caching; Website Acceleration; Download Acceleration; Origin Traffic Reduction.

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Memory-optimized ECSs are specifically designed for the workload described. Huawei Cloud defines memory-optimized ECSs as instances that excel at processing large in-memory datasets and high-throughput networking . They are intended for memory-intensive workloads involving large datasets, frequent or heavy data access, and requirements for rapid data processing and exchange.

The scenario deliberately combines several identifying characteristics: large-memory datasets, substantial data volumes, high numbers of access requests, demanding network performance, and rapid data transfer and processing. These characteristics correspond directly to the design profile of the memory-optimized ECS family. Huawei lists representative applications such as high-performance databases, in-memory databases, distributed memory caches, data analysis and mining, Hadoop, Spark, e-commerce, and other enterprise applications.

Ultra-high I/O instances emphasize extremely high storage IOPS and low disk latency. High-performance computing instances are optimized primarily for compute-intensive scientific or engineering workloads. Although “large-memory” may appear plausible, memory-optimized is the ECS category whose official description explicitly combines large in-memory datasets with high-throughput networking and heavy data access.

Therefore, D is the precise Huawei Cloud classification required by the scenario.

Reference topics: ECS Types and Specifications; Memory-Optimized ECSs; Memory-Intensive Workloads; High-Throughput Networking.

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The statement is false because its description of infrastructure ownership does not correctly characterize a hybrid cloud. A hybrid cloud combines different cloud environments—most commonly private cloud and public cloud —and enables workloads, applications, or data to be distributed between them according to security, capacity, latency, compliance, or business requirements.

Huawei Cloud describes hybrid cloud as a blend of private and public cloud environments. The private portion may be dedicated to a particular customer and may host confidential or sensitive workloads, while public cloud resources are delivered through infrastructure operated by a cloud service provider. Consequently, the combined infrastructure is not inherently owned and operated by a single organization .

This ownership distinction separates hybrid cloud from a purely private-cloud model. A private cloud can be dedicated to a single organization, whereas hybrid architecture deliberately combines environments that may have different infrastructure ownership and operating responsibility.

The statement correctly recognizes that hybrid cloud is flexible and that workloads can use different cloud environments, but because it makes an absolute and incorrect assertion about single-organization ownership, the entire statement must be evaluated as FALSE .

Reference topics: Cloud Deployment Models; Public Cloud; Private Cloud; Hybrid Cloud; CloudPond Service Overview.

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