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| Section | Weight | Objectives |
|---|---|---|
| Cloud-based Architecture Design of Conventional Applications | 50% | - Cloud resource planning and design principles
|
| Cloud Native Application Architecture Design | 30% | - Container and orchestration technology - Cloud native concepts and technologies - Serverless architecture design and application scenarios - Microservice architecture design and practice
|
| HUAWEI CLOUD O&M Solution | 10% | - Automated operation and maintenance - Log management and analysis - Fault diagnosis and recovery mechanism - Cloud monitoring and alerting system |
| HUAWEI CLOUD Innovations and Solutions | 5% | - Industry solutions and best practices - Emerging technologies integration (AI, Big Data, IoT) - Huawei Cloud ecosystem and tools |
| Enterprise Application Architectures and Cloud Technologies | 5% | - Cloud service models and deployment models - Evolution of enterprise application architectures - Core characteristics and value of cloud computing |
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NEW QUESTION # 36
A customer bought compute-intensive Elastic Cloud Servers (ECSs) and deployed Linux applications to test services. The ECSs use pay-per-use billing. When no tests are running, some ECSs are stopped to reduce costs. After the ECSs are stopped, which of the following resources are not billed?
Select all that apply.
Answer: C,D
Explanation:
"BRS supports asynchronous replication with second-level RPO and an RTO under 30 minutes."
"Cost-effective: When services run normally, DR-site ECSs remain stopped, so you only pay for OBS and EVS storage. No compute charges are incurred at the DR site."
[Related context only: standard ECS stop-and-billing rules require the official ECS billing documentation; this DR excerpt is not the complete billing policy. ] Huawei source: Training PDF p. 245; official ECS billing documentation Technical Deep Dive Huawei Cloud distinguishes ECS computing charges from the pricing of storage and networking resources.
For a standard pay-per-use ECS that is eligible for stop-billing behavior, vCPU and memory charges are suspended after the instance is stopped. Consequently, C and D are correct. Memory and vCPUs form the basic compute allocation, whereas independently provisioned EVS and EIP resources continue to exist even if the application is not running.
Option A is not correct because EVS system and data disks continue occupying provisioned block-storage capacity and remain chargeable under their billing rules. Option B is not correct because EIPs and related bandwidth can continue to incur charges, depending on the allocation and billing mode. Stopping the compute instance is not equivalent to deleting its attached resources.
A material exception concerns special ECS configurations, including certain local-disk, FPGA or bare-metal- related instance categories. Their resource allocation and stop-billing behavior may differ, so a universally worded question should specify standard pay-per-use ECSs. A stopped instance may release its computing resources; restarting it can depend on available capacity. For short-lived development or testing environments, administrators should combine scheduled stopping with cost tracking and deletion of unneeded storage and EIP allocations. The Training Material's disaster-recovery excerpt illustrates suspended DR compute charging but is not, by itself, a complete reference for general ECS stop-billing rules.
NEW QUESTION # 37
ServiceStage is an enterprise one-stop application management and O & M platform. Which of the following statements about ServiceStage is incorrect?
Answer: C
Explanation:
"ServiceStage is an application management and O & M platform that lets you deploy, roll out, monitor, and maintain applications all in one place."
"ServiceStage supports full lifecycle management of microservice applications. It supports runtime environments (Java, Go, Node.js, Docker, and Tomcat) and manages microservice applications (Apache ServiceComb Java chassis, Spring Cloud, Dubbo, and Service Mesh) without intrusion."
"CodeArts is a one-stop platform that provides out-of-the-box cloud services for requirement delivery, code commit, check, build, verification, deployment, and release throughout the entire software lifecycle." Huawei source: Training PDF pp. 520, 525, 548 Technical Deep Dive Huawei ServiceStage primarily hosts, deploys, monitors and maintains applications while supporting microservice governance. Option A accurately describes its support for multiple application languages and runtimes. Option C is also true: the platform offers application hosting, monitoring, alarms, logs and operational workflows for development, test and O & M teams.
Option D is the intended incorrect answer. The comprehensive pipeline for requirements, source-code commits, code checking, compilation, build verification, deployment and release corresponds to Huawei CodeArts. ServiceStage can receive application packages, integrate with delivery pipelines and perform deployments, but it is not identical to the full CodeArts software-development toolchain. In a typical architecture, CodeArts manages source control and CI/CD, ServiceStage manages application deployment and lifecycle, while CCE supplies container scheduling and infrastructure integration.
There is also an editing defect in B. The source combines 'Dubbo' and 'Service Mesh' into the expression
'Dubbo mesh'. Huawei V3.5 actually lists Apache ServiceComb Java chassis, Spring Cloud, Dubbo and Service Mesh as separate supported technologies. If interpreted literally, B is also inaccurate, undermining the instruction to choose one incorrect option. Correct B to say 'Dubbo and Service Mesh' and D becomes uniquely wrong. ServiceStage's microservice support includes application registration, discovery, configuration and governance, often through an integrated microservice engine. The right conceptual distinction is application lifecycle management versus the entire source-to-release software-development pipeline.
NEW QUESTION # 38
Which of the following is not a major factor that drives enterprises to migrate to the cloud?
Answer: B
Explanation:
"Overall, the key factors driving enterprise cloud migration fall into three main categories: technological innovation, business requirements, and government incentives." Huawei source: Training PDF p. 6 Technical Deep Dive Huawei explicitly classifies the principal cloud migration drivers into technological innovation, business requirements and government incentives. Option B is therefore a driver because virtualization, distributed computing, cloud-native services, automation, AI and managed infrastructure allow organizations to deploy and change systems more quickly. Option D is also a driver because businesses migrate to reduce infrastructure overhead, accelerate product delivery, support elastic capacity and improve competitiveness.
Option A is likewise named by Huawei. Government incentives include digital-transformation initiatives, regulatory frameworks, national infrastructure programs and policies that encourage adoption of cloud platforms. An executive mandate, option C, is a management authorization or directive rather than one of the curriculum's three fundamental drivers. Senior executives may choose to migrate, but the underlying purpose normally arises from technical, business or policy factors.
For example, an e-commerce company may migrate to Huawei Cloud because promotional peaks require Auto Scaling and ELB. Management signs off on the initiative, but the business driver is elasticity and faster service delivery. A manufacturing enterprise may migrate for access to IoT and AI services; that is an innovation-driven use case. Some exam banks incorrectly exclude government incentives, but Huawei's V3.5 slide explicitly includes them. The evidence supports C alone as the 'not a major factor' answer.
NEW QUESTION # 39
Huawei Cloud Application Service Mesh (ASM) offers easy-to-use, fully managed service meshes with high performance and reliability. Which of the following statements about ASM is incorrect?
Answer: B
Explanation:
"Huawei Cloud Application Service Mesh (ASM) provides easy-to-use, fully-managed service meshes with high performance and reliability. It supports multiple types of infrastructures such as VMs and containers and centrally manages multi-cluster services across regions. In ASM, a service mesh serves as an infrastructure layer. It enables you to manage and monitor service traffic, ensure secure access, and perform grayscale releases for stable service iteration."
"ASM is deeply integrated with CCE and helps you manage application traffic and lifecycle in a non-intrusive manner." Huawei source: Training PDF pp. 527, 529 Why D is incorrect: Application deployment is managed by Cloud Container Engine (CCE) or CI/CD deployment pipelines (such as CodeArts). Application Service Mesh (ASM) does not deploy applications itself; rather, it provides the traffic management and routing governance (such as traffic shifting/splitting based on weight, headers, or cookies) that facilitates grayscale releases once the versions are deployed.
NEW QUESTION # 40
After detecting that a container has crashed, Kubernetes can restart it. Which of the following probe types does Kubernetes use to check the container's response and determine whether it should be restarted?
Answer: B
Explanation:
"Kubernetes offers three types of health check probes for checking pod status: liveness, readiness, and startup probes."
"A liveness probe checks whether a container is running ... If the liveness probe of a container fails, the cluster restarts the container."
"A readiness probe determines when a container is ready to accept traffic." Huawei source: Training PDF p. 419 Technical Deep Dive Kubernetes defines three standard application health probes: liveness, readiness and startup. Option B , liveness, is the correct probe for checking whether a running application is healthy enough to continue. A repeatedly failing liveness probe causes Kubernetes to restart the affected container according to its configured behavior.
For example, a web process may still exist but become deadlocked or stop responding to HTTP requests. An HTTP liveness probe targeting /health can detect the failure even though the process has not terminated.
Typical configuration includes httpGet, initialDelaySeconds, periodSeconds and failureThreshold. A startup probe, option C, is used when an application needs additional initialization time; it prevents liveness or readiness checks from incorrectly marking the workload as failed before startup completes. A readiness probe, option D, determines whether the pod should receive Service traffic. Failed readiness normally removes the endpoint from the eligible pool rather than restarting the container. 'Monitoring probe', option A, is not a standard Kubernetes health probe name.
A precise distinction is that an actual container process crash can also cause an automatic restart based on the pod's restartPolicy even without a liveness probe. The question conflates a crash with liveness detection, but it asks which probe drives restart for an unresponsive workload; this is liveness. Architects should tune probes carefully to avoid crash loops, unnecessary restarts or routing traffic to applications that are not yet ready.
Answer B matches the Huawei health-check probe explanation.
Technical commands / calculations from the reviewed batch
livenessProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 10
periodSeconds: 5
failureThreshold: 3
NEW QUESTION # 41
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