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| Section | Objectives |
|---|---|
| Topic 1: Cloud Native Application Architecture Design | - Huawei cloud native services and solutions - Cloud native technologies and microservices design - Container and serverless design patterns |
| Topic 2: Huawei Cloud Innovations and Solutions | - Emerging architecture solution practices - Innovative services overview (EI, IoT, data solutions) |
| Topic 3: Cloud-based Architecture Design of Conventional Applications | - Database service planning and migration - Cloud security service planning and design - Compute service planning and Elastic Cloud Server (ECS) - Storage and Object Storage Service (OBS) - Network design and Virtual Private Cloud (VPC) |
| Topic 4: Huawei Cloud O&M Solution | - Monitoring, logging, and operational best practices - O&M strategies and Huawei Cloud operations tools |
| Topic 5: Enterprise Application Architectures and Cloud Technologies | - Cloud technology concepts and Huawei Cloud overview - Enterprise application architectures fundamentals |
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NEW QUESTION # 23
Data Replication Service (DRS) is an easy-to-use, stable, and efficient cloud service for online database migration and real-time database synchronization. Which of the following statements about DRS is incorrect?
Answer: C
Explanation:
"Data Replication Service (DRS) is a stable, efficient, and easy-to-use cloud service for online database migration and real-time database synchronization."
"Smooth migration: Databases can be migrated with minimal downtime, often with no service interruptions at all."
"Excellent performance: Parallel processing accelerates the migration process."
"High flexibility: You can perform database management operations on the source database during the migration." Huawei source: Training PDF pp. 323-324 Technical Deep Dive Huawei Cloud Data Replication Service provides online database migration, synchronization, subscription, backup migration and disaster-recovery data movement. Option A is correct: many supported databases can be migrated with minimal interruption, and in some cases the source continues serving clients during the initial and incremental replication phases. Option B is correct: supported management operations and normal source database access may remain available while migration proceeds, subject to engine-specific restrictions.
Option D is also correct. DRS can use parallel processing to accelerate data transfer and migration. Option C is false because it incorrectly extends DRS into general-purpose host migration. Moving operating-system files, virtual machine settings, arbitrary host data and application binaries is not DRS's central function.
Huawei Server Migration Service (SMS) and other compute migration mechanisms address server workload transfer, while DRS addresses supported database objects and data.
A typical database cutover includes source/destination connectivity verification, account and privilege preparation, compatibility checks, initial loading, incremental replication, consistency assessment and a planned application switch. Even when migration is described as online, the final cutover may require temporarily stopping writes and changing application database endpoints. An architect must separately manage application servers, credentials, DNS, network security and rollback. The official DRS course explicitly lists smooth migration, high flexibility and parallel processing, but does not claim general host migration. Therefore C is the uniquely incorrect statement.
NEW QUESTION # 24
Data Replication Service (DRS) is an easy-to-use, stable, and efficient cloud service for online database migration and real-time database synchronization. Which of the following functions does DRS support?
Select all that apply.
Answer: B,C,D
Explanation:
"DRS simplifies data transmission between cloud databases and effectively reduces data transmission costs.
You can use DRS to migrate data between databases quickly to meet your service requirements."
"DRS provides multiple functions, including real-time migration, backup migration, real-time synchronization, data subscription, real-time disaster recovery, and workload replay." Huawei source: Training PDF p. 324 Technical Deep Dive Huawei Data Replication Service (DRS) supports several named database data-movement functions. Option A
, real-time disaster recovery, is correct because supported deployments can continuously synchronize database changes to a recovery destination. Option B , real-time migration, is correct because DRS can transfer databases while the source continues serving workloads, with appropriate final cutover controls. Option D , backup migration, is correct because a supported backup can be exported and uploaded to OBS or another supported location and restored to a destination database through the DRS workflow.
Option C is not a separate named DRS function in the Huawei V3.5 list. 'Asynchronous migration' may refer informally to underlying data-transfer behavior, but the official product categories include real-time migration, backup migration, real-time synchronization, data subscription, real-time disaster recovery and workload replay. An implementation technique must not be mistaken for an independently listed feature.
Production database migration involves pre-checking source and target engine versions, establishing network and security access, configuring appropriate accounts, verifying schema compatibility, tracking full-load transfer, monitoring incremental replication and validating final consistency. Real-time DR requires distinct recovery procedures and testing to ensure that a standby database can serve the workload after failure.
Workload replay is another DRS capability that can simulate source database activity on a target for compatibility or performance assessment. Architects should not conflate these modes or assume any engine can migrate to every destination. The official taxonomy directly supports A, B and D.
NEW QUESTION # 25
For processing high-quality images and videos, as well as performing big data analytics, memory-optimized Elastic Cloud Servers (ECSs) are recommended, including M8, M7, and M5 ECSs.
Answer: B
Explanation:
"Memory-optimized ECSs are designed for large in-memory datasets and high-speed network scenarios."
[Related content] GPU-accelerated ECSs support graphics processing, rendering, deep learning and parallel computation. Different workload bottlenecks require different ECS families.
Huawei source: Training PDF pp. 62-63
Technical Deep Dive
Memory-optimized ECSs are designed for workloads whose dominant requirement is a large memory working set and high-speed access to in-memory datasets. Appropriate examples include databases, in- memory caches, some MapReduce or Hadoop stages and memory-intensive analytical applications. That does not make them the universal recommendation for high-quality image processing, video processing and big data workloads.
Image rendering, media transcoding, certain graphics workloads and AI-assisted processing may depend primarily on GPU acceleration or specialized parallel computing hardware. Huawei Cloud provides GPU- accelerated ECSs for these classes of workloads. Compute-intensive analytics may instead require a CPU- optimized flavor; storage-intensive pipelines may be constrained by disk throughput or network bandwidth.
Resource selection must follow workload profiling rather than a single generic designation.
The question also names M8, M7 and M5 without establishing the complete family list in the cited V3.5 course. The training identifies the M7 memory-optimized line but does not support the blanket statement across all three labels. Consequently B, FALSE, is the defensible curriculum answer. This question is somewhat broad: a memory-intensive image or video application could legitimately benefit from an M-series ECS. A more technically precise examination question would specify GPU-dependent rendering or video processing and clearly distinguish that workload from in-memory big data analytics. Architects should benchmark CPU, RAM, GPU, storage and networking before final selection.
NEW QUESTION # 26
In Cloud Container Engine (CCE), when a backend pod is rebuilt, it receives a newly bound IP address, but the frontend pod is not aware of the change. If the backend pod is accessed through a Service, the frontend pod does not need to know about this change.
Answer: A
Explanation:
"Kubernetes Services are used to solve the pod access problems. You can add a Service (with a fixed IP address) for a frontend pod to access the backend pods. The Service forwards the traffic to the pods. In this way, the frontend pod does not need to detect the changes of the backend pods. The Service can also perform load balancing for these pods." Huawei source: Training PDF p. 428 Technical Deep Dive Kubernetes pods are ephemeral. When a Deployment or another controller replaces a backend pod, the new pod may receive a different IP address. Directly connecting frontend applications to individual pod addresses would make deployments and recovery fragile. Kubernetes Services solve this by exposing a stable logical endpoint while maintaining an updated set of backend endpoints. The question is therefore TRUE, option A.
A frontend pod can call a Service by its cluster DNS name, for example backend-service.default.svc.cluster.
local. The Service identifies backend pods through label selectors, and Kubernetes maintains EndpointSlice data as pods appear, disappear or become unready. The frontend continues using the same Service name even though the backend membership changes. This mechanism also allows traffic distribution among eligible replicas.
Huawei's V3.5 training explicitly describes the scenario in which a backend pod is rebuilt and receives a new IP without requiring the frontend pod to detect the change. Engineers can validate the state with kubectl get pods -o wide, kubectl get services and kubectl get endpointslices. Service stability does not guarantee transaction-level continuity: in-flight connections to a failed pod may still be interrupted, and retry or idempotency behavior may be required. Similarly, application readiness probes must correctly identify when replacement pods can receive traffic. The core architectural advantage is decoupling service identity from transient pod addresses, which is essential for scaling and rolling updates.
Technical commands / calculations from the reviewed batch
kubectl get pods -o wide
kubectl get services
kubectl get endpointslices
NEW QUESTION # 27
When you create a cluster in Cloud Container Engine (CCE), which of the following container network models can you select?
Select all that apply.
Answer: A,B
Explanation:
"CCE supports the following container network models: container tunnel network, VPC network, and Cloud Native Network 2.0."
"The container tunnel network is constructed on but independent of the node network through tunnel encapsulation. This network model uses VXLAN to encapsulate Ethernet packets into UDP packets and transmits them in tunnels. Open vSwitch serves as the backend virtual switch." Huawei source: Training PDF pp. 456-457 Technical Deep Dive Huawei Cloud CCE supports three container-network models in the V3.5 course: container tunnel network, VPC network and Cloud Native Network 2.0. Option B is correct because the tunnel model uses encapsulation-VXLAN over UDP in the documented implementation-to carry pod traffic across an underlying node network. Open vSwitch acts as a virtual switching component in the tunnel architecture.
Option D is correct because Cloud Native Network 2.0 integrates pod networking with VPC resources. Pod IP addresses can be allocated from the VPC CIDR range, using the applicable enhanced networking and network-interface mechanisms. This reduces encapsulation overhead and supports demanding throughput and latency requirements. Option A is incorrect because a VPN is a service for encrypted connectivity between separate networks, not a named CCE pod-network model. Option C is incorrect because the Kubernetes Service network allocates virtual addresses for Service access; it does not describe the underlying pod- network implementation selected when creating the cluster.
The omitted third legitimate model is VPC network. The question does not offer that option, but its absence does not make the listed choices ambiguous. Architects should select networking based on throughput, latency, IP consumption, integration with security groups, number of nodes and workload scale. Networking performance also depends on underlying ECS specifications and routes. Check container and service CIDRs carefully to avoid overlap with existing VPC or on-premises ranges. Huawei's official model list supports B and D.
NEW QUESTION # 28
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