Huawei H13-821_V3.5 Exam Fragen & H13-821_V3.5 Tests

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Huawei H13-821_V3.5 Exam Syllabus Topics:

SectionObjectives
Compute and Storage Services- Elastic Cloud Server (ECS) and container services
  • 1. ECS deployment and scaling
    • 2. CCE and container orchestration basics
      - Storage solutions
      • 1. OBS and EVS usage scenarios
        • 2. Object, block, and file storage comparison
          Solution Design and Migration- Solution architecture design
          • 1. Cost optimization strategies
            • 2. High availability and disaster recovery design
              - Cloud migration strategies
              • 1. Migration tools and processes
                • 2. Rehost, replatform, refactor approaches
                  Database and Middleware Services- Cloud database services
                  • 1. NoSQL database scenarios
                    • 2. RDS deployment and management
                      Network and Security Design- Security and identity management
                      • 1. IAM roles and policies
                        • 2. Cloud security best practices
                          - Cloud network architecture
                          • 1. Hybrid connectivity (VPN/Direct Connect)
                            • 2. VPC design and subnet planning
                              Operations and Monitoring- Cloud monitoring and O&M
                              • 1. Cloud Eye monitoring service
                                • 2. Logging and auditing practices
                                  Cloud Architecture Design Principles- Huawei Cloud architecture overview
                                  • 1. Huawei Cloud infrastructure components
                                    • 2. Resource pooling and multi-region design
                                      - Cloud computing models and deployment architectures
                                      • 1. Cloud-native architecture fundamentals
                                        • 2. Public, private, and hybrid cloud concepts

                                          >> Huawei H13-821_V3.5 Exam Fragen <<

                                          Huawei H13-821_V3.5 Tests & H13-821_V3.5 Simulationsfragen

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                                          Huawei HCIP-Cloud Service Solutions Architect V3.5 H13-821_V3.5 Prüfungsfragen mit Lösungen (Q11-Q16):

                                          11. Frage
                                          High availability is an important design characteristic. Which of the following is not related to high availability?

                                          Antwort: B

                                          Begründung:
                                          "HA is a system architecture capability that minimizes single points of failure and provides automatic failover, with the ultimate goal of delivering reliable, uninterrupted services."
                                          [Supporting material] High availability addresses component-level failures; disaster recovery addresses site- level failures and RTO/RPO targets.
                                          Huawei source: Training PDF p. 18
                                          Technical Deep Dive
                                          High availability minimizes interruption from individual component failures. Option A is related because Auto Scaling can maintain necessary application capacity and, when health management is properly integrated, can provision replacement instances. Option B is related because ELB distributes requests across available backends and can exclude unhealthy servers using health checks.
                                          Option D is also related to service continuity. Disaster recovery and backup services protect against more serious events, potentially including a site outage. DR is not synonymous with high availability: HA generally handles component-level failures and automatic failover, while DR focuses on recovery after more extensive disruptions. Nevertheless, they are complementary resilience strategies. Option C , by contrast, specifies a higher network bandwidth upper limit. Bandwidth increases potential throughput; it does not introduce additional service instances, redundancy, healthy failover targets or automated recovery.
                                          For example, upgrading an ECS from a one-Gbit/s to a five-Gbit/s link may reduce congestion during high traffic, but the application still fails if its only server is lost. A more suitable HA architecture distributes instances across availability zones, configures ELB health checks, uses appropriate Auto Scaling policies and implements data-layer redundancy. Architects should evaluate both network performance and resilience, but should not use bandwidth capacity as a substitute for fault tolerance. Thus C alone is unrelated to the HA mechanism specified.


                                          12. Frage
                                          Serverless computing is a cloud-native development model. It enables developers to build and run applications without having to manage the underlying infrastructure, such as servers. Serverless means that no compute resources, including servers, are needed. To process services, you simply run your code in the cloud, which greatly lowers costs. This model lets developers concentrate more on service code, making it very developer-friendly.

                                          Antwort: A

                                          Begründung:
                                          "Serverless: Serverless computing is a cloud-native development model. It allows developers to build and run applications without the need to manage underlying infrastructure such as servers. Serverless does not mean there are no servers. Instead, it means all tasks related to server management, maintenance, and scaling are handled by cloud service providers."
                                          "Serverless computing does not mean that we no longer use servers to host and run code, or O & M engineers are no longer needed." Huawei source: Training PDF pp. 52, 475 Technical Deep Dive The critical error is the claim that serverless computing uses no servers or compute resources. Huawei's V3.5 material explicitly states that serverless does not mean the absence of servers. Instead, it is an abstraction in which the cloud provider performs much of the infrastructure provisioning, maintenance and scaling that would traditionally be managed by the application developer. Physical computing capacity, operating systems, virtualization and runtime environments still execute the code.
                                          In a conventional ECS deployment, a customer selects instance flavors, installs software, manages the guest OS and develops scaling and operational procedures. In a serverless environment such as Huawei FunctionGraph, developers upload functions or application code and configure triggers. The platform allocates and manages execution capacity based on incoming requests or events, while the developer focuses on business logic and function configuration.
                                          Serverless can reduce operational effort and be cost-effective for intermittent or unpredictable demand.
                                          However, it is not automatically cheaper in every circumstance; persistent high utilization, runtime limits, concurrency requirements, cold starts and billing granularity can affect the economics. Backend as a Service (BaaS) and Function as a Service (FaaS) are related but distinct models. Serverless also does not eliminate security, logging, monitoring or governance responsibilities. The statement's initial description of reduced infrastructure management is accurate, but its assertion that no computing resources exist is false. Therefore choose B.


                                          13. Frage
                                          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.

                                          Antwort: B

                                          Begründung:
                                          "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.


                                          14. Frage
                                          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?

                                          Antwort: D

                                          Begründung:
                                          "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


                                          15. Frage
                                          Bare Metal Server (BMS) supports a broad range of workloads. Which of the following is not one of those workloads?

                                          Antwort: A

                                          Begründung:
                                          "Bare Metal Server (BMS) combines the scalability of ECSs with the high performance of physical servers. It provides dedicated servers on the cloud, delivering the performance and security required by core databases, mission-critical applications, HPC, and Big Data. You can apply for and use a BMS on demand."
                                          [The application scenarios slide identifies core databases, container runtime, big data analytics, and AI. ] Huawei source: Training PDF pp. 77, 82 Technical Deep Dive Huawei Bare Metal Server (BMS) provides dedicated physical compute resources without a conventional tenant-visible hypervisor layer for the workload. Option A is among the principal application scenarios: big data storage and analytics can benefit from predictable resources, high-throughput networking and storage
                                          /compute architectures appropriate for large datasets. Option B is also supported: HPC, supercomputing, genome or DNA sequencing and AI can require powerful CPUs, GPU or NPU acceleration and low-latency communication. Option C is supported because mission-critical government, financial and enterprise databases may demand isolation and guaranteed physical server performance.
                                          Option D is not one of the core BMS workload scenarios named by Huawei's V3.5 training. Short-lived application development, rapidly changing portal capacity and frequent e-commerce promotional scaling are typically better served by Elastic Cloud Servers with Auto Scaling and ELB. Although BMS resources can be provisioned on demand, they do not inherently offer the same fine-grained elasticity and speed as increasing or decreasing virtualized ECS instances.
                                          BMS uses dedicated hardware and can support high-performance network and storage access, including the SDI hardware described by the curriculum. x86 and Kunpeng-based BMS families target various workloads, and suitable systems can integrate GPUs or other accelerators. Hardware isolation and stable performance help large database and compute-intensive systems, but dedicated capacity can be costly for intermittent demand. Architects should evaluate licensing, provisioning time, network topology, storage attachment, high availability and expected utilization. Therefore D is the intended 'not one of those workloads' choice, with the nuance that BMS can host websites but is not the default elastic web tier.


                                          16. Frage
                                          ......

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