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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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
|
| Topic 2: HUAWEI CLOUD Innovations and Solutions | 5% | - Emerging technologies integration (AI, Big Data, IoT) - Huawei Cloud ecosystem and tools - Industry solutions and best practices |
| Topic 3: Cloud-based Architecture Design of Conventional Applications | 50% | - Application migration and transformation strategy - Security architecture design on cloud
|
| Topic 4: Enterprise Application Architectures and Cloud Technologies | 5% | - Core characteristics and value of cloud computing - Evolution of enterprise application architectures - Cloud service models and deployment models |
| Topic 5: HUAWEI CLOUD O&M Solution | 10% | - Log management and analysis - Automated operation and maintenance - Fault diagnosis and recovery mechanism - Cloud monitoring and alerting system |
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NEW QUESTION # 55
Which statements accurately describe the ways databases can be classified?
Select all that apply.
Answer: B,C,D
Explanation:
[Database Types table] Business model: open-source and commercial. Data structure: relational and non- relational. Application scenario: OLTP, OLAP, and HTAP. Architecture: centralized and dis tributed.
Deployment mode: on-premises and cloud.
Huawei source: Training PDF p. 272
Technical Deep Dive
Huawei's V3.5 Database Types table gives several independent dimensions for database classification.
Option A is correct because business models include open-source and commercial database offerings.
Examples include community-supported PostgreSQL and proprietary or commercially licensed database products. Option B is correct because relational databases use structured relations and tables, while non- relational databases may employ document, key-value, column-family or graph data models.
Option C is also correct. Online Transaction Processing (OLTP) systems handle large volumes of comparatively short transactions involving inserts, updates and reads. Online Analytical Processing (OLAP) systems optimize complex queries, reporting, aggregation and decision support. Huawei additionally identifies Hybrid Transactional and Analytical Processing (HTAP), so the option names two major workload categories without purporting to exhaust every category.
Option D is incorrect as the course classifies databases by architecture into centralized and distributed forms, not 'storage' and 'computing' databases. Storage-compute separation is a legitimate cloud-native architecture pattern, but it is not equivalent to those two database categories. For example, a cloud database can decouple storage and computing resources while remaining a relational database. During service planning, classify database requirements by model, workload, deployment location, resilience and architecture before choosing products such as RDS, GaussDB or document stores. Options A, B and C match Huawei's official classification dimensions.
NEW QUESTION # 56
A Kubernetes cluster is made up of master nodes and worker nodes. A master node manages the whole cluster. Which of the following components run on a master node?
Select all that apply.
Answer: C,D
Explanation:
"A master node is the machine where the control plane components run, including API server, scheduler, controller manager, and etcd. In a production environment, multiple master nodes are deployed to ensure high cluster availability."
"A worker node is a compute node for running containerized applications in a cluster. Kubelet, kube-proxy, and container runtime are running on each worker node." Huawei source: Training PDF p. 415 Technical Deep Dive Huawei's Kubernetes architecture places the API server, scheduler, controller manager and etcd in the control plane. Option A is correct because kube-apiserver exposes the Kubernetes API and receives administrative and controller requests. Option D is correct because the scheduler chooses suitable nodes for pending pods based on available capacity and scheduling constraints.
Option B , Docker, is not a Kubernetes control-plane component. Docker is a container platform/runtime technology. Modern Kubernetes typically uses a compatible container runtime such as containerd, and the runtime is associated with workload execution rather than the API/scheduling control functions. Option C , kubelet, is primarily described by Huawei's diagram as a worker-node agent that manages containers and pods according to control-plane instructions.
There is a technical ambiguity: real Kubernetes control-plane hosts can also run kubelet to manage static pods and other node-local components. Therefore it would be inaccurate to claim kubelet never runs on a master.
The examination should ask which are control-plane components instead of which components merely run on a master host. Production Kubernetes commonly uses multiple control-plane nodes to avoid a single point of management failure, though application availability also depends on workers and data services. Useful validation commands include kubectl get nodes -o wide, kubectl cluster-info and kubectl get pods -n kube- system. Under the course's architectural classification, A and D are the defensible answers.
Technical commands / calculations from the reviewed batch
kubectl get nodes -o wide
kubectl get pods -n kube-system
kubectl cluster-info
NEW QUESTION # 57
A cloud connection lets an on-premises data center access VPCs in multiple Regions, allowing users to use a single physical connection for high-speed access to cloud compute and storage resources in any Region.
Answer: B
Explanation:
"Cloud Connect can also work with Direct Connect to set up a hybrid cloud network that enables on-premises data centers to access the VPCs across regions." Huawei source: Training PDF p. 146 Technical Deep Dive Cloud Connect and Direct Connect can be combined to establish a private hybrid cloud network spanning multiple Huawei Cloud regions. Direct Connect provides dedicated connectivity from an organization's on- premises data center into Huawei Cloud. Cloud Connect extends connectivity among virtual private clouds in supported regions using Huawei's backbone resources. In that architecture, an enterprise does not necessarily need a separate physical Direct Connect circuit into every region.
For example, a company can establish its primary physical connection into a VPC in one region and provision Cloud Connect attachments and bandwidth so that the on-premises data center can reach VPCs in additional supported regions. This can simplify cross-region access to applications, compute systems and storage services while reducing exposure to the public Internet.
The statement is TRUE in the architecture Huawei describes, but 'any region' should not be interpreted as unrestricted global connectivity. The relevant regions must support the service, routing tables must be configured, IP address ranges must not conflict, bandwidth capacity must be sufficient and any geographic or regulatory constraints must be satisfied. Multi-region reachability also does not eliminate the need for appropriate security groups, network ACLs and route governance. For high availability, an enterprise may add redundant Direct Connect circuits and validate route convergence. The V3.5 course explicitly supports Cloud Connect working with Direct Connect, so A is the intended correct answer.
NEW QUESTION # 58
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: B,C
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 # 59
What does Cloud Eye alerting for monitoring metrics allow you to do?
Select all that apply.
Answer: A,B,C
Explanation:
"Users can create alarm rules for key metrics of cloud services. When the conditions in the alarm rule are met, Cloud Eye reports the alarms using emails, SMS, or HTTP/HTTPS requests, enabling users to quickly respond to resource changes."
[The slide lists] flexible policies, varied notifications through HTTP/HTTPS/FunctionGraph/SMS/email, Auto Scaling integration, and default or custom alarm templates.
Huawei source: Training PDF p. 591; official Cloud Eye documentation
Technical Deep Dive
Cloud Eye alarm management allows administrators to define resource- and metric-specific thresholds, triggering rules, notification routes and operational responses. Option A is true because alarm policies can be tailored to individual monitored objects, metrics and events. Option B is true because Huawei supplies standard and customizable templates that can be applied across resources in batches, reducing repetitive configuration and improving policy consistency.
Option D is true. The Huawei V3.5 alarm slide lists HTTP/HTTPS, SMS, email, FunctionGraph and Auto Scaling integration, while related official documentation confirms voice notification channels where supported. A Cloud Eye threshold can notify an operator, invoke an automated function or participate in a scaling policy. For instance, sustained CPU utilization above an agreed threshold can initiate capacity scaling while the operations team receives an alert.
Option C is false because Huawei supports monitoring integration with external observability systems. Cloud Eye metrics can be exposed through suitable exporter and API mechanisms to Prometheus-compatible environments, and those metrics can be visualized in Grafana as part of a broader monitoring architecture.
The claim that such interconnection is categorically unsupported is therefore wrong. Operationally, alarm thresholds must account for duration, evaluation periods, retry behavior, resource scale and alert fatigue. Too- sensitive alerts can generate noise, while overly broad thresholds can miss failures. Automatic scaling requires sensible minimum and maximum capacities, cooldown settings and health checks. A, B and D are the supported capabilities; C is the inaccurate denial of integration.
NEW QUESTION # 60
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