Free Practice Questions for the Huawei HCIP-Cloud Service H13-821_V3.5 Exam (2026 Updated)

“The microservice architecture breaks down applications into groups of small services called 'microservices', which cooperate with each other to provide business capabilities.”

“Each service runs as an independent process. Lightweight communication mechanisms (usually based on RESTful APIs) are used between services.”

“Each microservice is designed, developed, and tested by an independent team, and can be deployed independently and automatically in the production environment.”

Huawei source: Training PDF p. 507

Technical Deep Dive

The description is of microservice architecture, option D. A microservice solution decomposes a large application into smaller, loosely coupled services, each centered on a distinct business capability. A service runs independently and exposes an API or another lightweight communication interface. Teams can develop, test, deploy and scale individual services without automatically replacing the entire application.

Option A is incorrect because virtualization refers to computing-resource isolation rather than the division of application functionality. Option B is incorrect because monolithic architecture packages interdependent business features into one comparatively tightly coupled deployment unit. Option C , service-oriented architecture (SOA), also uses service boundaries, but usually emphasizes broader enterprise integration and may organize services at larger granularity. Huawei's training specifically describes independently deployable small functional units and language-agnostic APIs as microservice characteristics.

An e-commerce application can be divided into catalog, inventory, authentication, orders and payment services. Each group can deploy updates to its own service and scale according to its demand. This increases agility but introduces distributed-systems concerns: network latency, service discovery, traffic management, observability, API versioning, cross-service authentication, retries and data consistency. Huawei Cloud offers CCE, ServiceStage and Application Service Mesh to support relevant operational capabilities. Architecture selection should account for team maturity and application complexity; microservices are not automatically better for every small system. Nevertheless, the stem matches Huawei's official microservice definition precisely.

“S2C VPN involves three key components: VPN gateway, customer gateway, and VPN connection.”

[Supporting content] Site-to-Cloud VPN uses IKE and IPsec; Point-to-Cloud VPN provides SSL-based remote access. For same-region VPC access, VPC peering or equivalent private routing is used.

Huawei source: Training PDF pp. 139–140; official VPN/VPC guidance

Technical Deep Dive

Huawei V3.5 describes Site-to-Cloud VPN as a secure communication mechanism involving a VPN gateway, customer gateway and VPN connection. IKE negotiates security parameters and IPsec protects traffic, supporting the claim in A. B correctly identifies the major Site-to-Cloud VPN components. C correctly differentiates Site-to-Cloud IPsec VPN from Point-to-Cloud SSL-based access in the curriculum.

Option D is the false statement for the architecture described. For VPCs in the same Huawei Cloud region, direct private connectivity through VPC peering or other supported routing mechanisms is recommended rather than setting up the posited VPN gateway-to-gateway link. VPN is used for scenarios involving encrypted connectivity between on-premises networks and cloud VPCs or appropriate cross-region environments.

For an enterprise that wants a single on-premises data center to reach several VPCs, the architect must decide whether to use Site-to-Cloud VPN, Direct Connect, Cloud Connect and/or an Enterprise Router based on latency, bandwidth, cost and redundancy requirements. After establishing a tunnel, verify the IKE phase, IPsec security associations, route tables, encryption-domain selectors, customer gateway configuration, network ACLs and security groups. A healthy tunnel does not guarantee application reachability if address ranges overlap or routes are missing. These caveats do not change the intended single false answer, D.

“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

“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.

“By execution mode: automated backups (generated automatically based on backup policies) and manual backups (triggered by users).”

“By backup region: same-region backups (stored in the same region) and cross-region backups (stored in regions other than the current region).”

“By data volume: full backups and incremental backups.”

Huawei source: Training PDF p. 289

Technical Deep Dive

Huawei V3.5 classifies database backups along three dimensions: execution mode, backup region and included data volume. Option B is true because same-region backups are stored in the source database's region, while cross-region copies are stored in a different region. Option C is true because backups can be automated under configured policies or initiated manually by an administrator. Option D is true because a full backup captures all selected data at a point in time while an incremental backup captures changes since a previous backup.

Option A is false according to the classification stated in the course. Relational and non-relational identify database data models, not a backup-method classification. A relational database and a document database may each have backups, but this does not transform relational/non-relational into a named backup execution or storage class.

Backups help recovery after accidental deletion, corruption and some types of attack. Their usefulness depends on retention periods, recovery testing, encryption, access controls and an appropriately chosen backup frequency. Incremental recovery may depend on a complete chain of prior backups; manual backups may have different retention rules from automatic backups. An important architectural distinction is that backups are not equivalent to continuous high availability: a standby replica can help preserve service during a node failure, whereas a backup is used to restore a prior data state. Production designs should define RPO and RTO, recovery steps and regional resilience. Therefore A is uniquely false under Huawei's V3.5 backup taxonomy.

“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.

“Cloud Eye is a multi-dimensional resource monitoring service. It monitors resource utilization, track the status of cloud services, and includes configurable alarm rules and notifications, to help users quickly respond to any changes when they happen.”

“RDS, OBS, and DMS monitoring: Cloud Eye monitors the usage and performance of databases, storage, and other resources.”

Huawei source: Training PDF pp. 589, 593–594; current Cloud Eye documentation

Technical Deep Dive

Cloud Eye supplies multi-dimensional monitoring for Huawei Cloud resources and associated services. Option A is correct because OBS storage metrics can be monitored, allowing teams to observe storage behavior and performance. Option C is correct because RDS and other database services expose monitoring metrics that help identify resource constraints and abnormal operation. Huawei's V3.5 course explicitly illustrates RDS and OBS monitoring in an e-commerce architecture.

Option D is a supported monitoring capability in the intended course classification: WAN quality and related network/website availability can be observed using Cloud Eye's applicable monitoring functions. However, 'WAN quality monitoring' is a capability, not a separately provisioned cloud resource comparable to an OBS bucket or RDS instance. The stem should therefore ask which resources or monitoring capabilities Cloud Eye supports.

Option B requires a product-boundary distinction. Detailed container, pod and Kubernetes workload observability is principally supported by CCE-integrated Prometheus and Application Operations Management. Cloud Eye can monitor underlying ECS nodes, EVS storage and network resources that form a CCE environment, but the course does not present direct comprehensive CCE workload observability as the same generic cloud-service monitoring category. This is why the previous answer key excludes B. In practice, enterprises should use Cloud Eye for infrastructure/resource metrics and AOM or Prometheus for container workloads and application-level telemetry, correlating results as appropriate. The intended answer is A, C and D, with the resource-versus-capability wording warning retained.

“CCM is a service that issues certificates and manages the lifecycle of certificates in the cloud. It provides SSL Certificate Manager (SCM) and Private Certificate Authority (PCA) services, and supports one-stop and full-lifecycle management of certificates.”

“SSL certificates are classified into authoritative and self-signed certificates. An authoritative certificate is issued by a trusted digital certificate authority and is usually trusted by default. A self-signed certificate is issued by the user and is not trusted by default. However, you can continue to access the certificate after ignoring the alarm.”

Huawei source: Training PDF p. 382

Technical Deep Dive

Huawei Cloud Certificate Manager (CCM) provides centralized certificate lifecycle management through SSL Certificate Manager (SCM) and Private Certificate Authority (PCA). Option A is correct because PCA provides a web interface for building a private CA hierarchy and issuing certificates for internal identities. Option C is correct because SCM and PCA are named components of CCM. Option D is consistent with the curriculum's description of a certificate issued by a trusted CA after the relevant server identity or domain has been verified.

Option B is false. A self-signed certificate is itself a digital certificate usable with SSL/TLS, but the issuer and subject are generally the same entity. It does not lack 'SSL certificates', and it is not technically prohibited from use on Internet-facing services. The central difference is trust: public browsers and operating systems do not normally trust an arbitrary self-signed root by default, causing a warning. A client may explicitly trust that certificate or, in some circumstances, proceed after acknowledging the warning.

Self-signed certificates are common for internal development, testing and private environments; publicly trusted CA certificates are generally preferable for production public websites. Encryption and authentication depend on correct private-key protection, certificate-chain validation, hostname matching, appropriate TLS settings and renewal before expiration. Private CA certificates can be rotated under managed policies, but clients must trust the issuing hierarchy. Therefore B is the uniquely incorrect statement. The corrected understanding is 'self-signed certificates may establish encrypted connections but are not automatically trusted by public clients'.

“Transfer Client IP Address is enabled for Layer 7 listeners by default. You do not need to manually enable it.”

[Supporting description] Enabling Transfer Client IP Address for Layer 4 listeners preserves the client source IP rather than translating it to the 100.125.0.0/16 range.

Huawei source: Training PDF p. 166

Technical Deep Dive

The question asks which statements about shared Elastic Load Balance are false. Option B is false because client-IP transfer behavior is not enabled in the same way by default for both Layer 4 and Layer 7 listeners. The Huawei V3.5 slide specifically states that Transfer Client IP Address is enabled by default for Layer 7 listeners; Layer 4 source-address preservation depends on the relevant listener setting.

Option D is also false. It reverses the behavior of enabling Transfer Client IP Address for a supported Layer 4 shared listener. When preservation is enabled, the backend receives the original client source address instead of a translated source address from the 100.125.0.0/16 range. Option A describes the shared ELB source-translation behavior when client-IP preservation is not applied and is generally true in the course context. Option C is true because backend security groups and network ACLs must permit load balancer requests and health-check traffic.

Client identity matters for auditing, geographic restrictions, rate limiting and incident analysis. For Layer 7 HTTP and HTTPS forwarding, applications may also use an X-Forwarded-For header to identify the originating client, but this is not the same as packet-level source-IP preservation. Engineers must configure trust boundaries around such headers so that arbitrary client-supplied values are not accepted as authoritative. The curriculum explicitly supports B and D as the false claims.

“DAS offers a web-based console for basic SQL operations, advanced database management, and intelligent O & M, boosting efficiency and security.”

“DAS helps you manage mainstream database types, such as RDS for MySQL, RDS for SQL Server, RDS for PostgreSQL, TaurusDB, Distributed Database Middleware (DDM), Document Database Service (DDS), GeminiDB Cassandra API, and GaussDB.”

“DAS is mainly designed for developers and database administrators (DBAs).”

Huawei source: Training PDF p. 322

Technical Deep Dive

Huawei Data Admin Service (DAS) is a managed, browser-based database development and administration platform. Option A is correct because DAS offers SQL diagnosis, supported scheduled SQL tasks, table-structure synchronization and data import/export functionality. Option B is correct because the service provides a web console for SQL execution, database administration and intelligent operations. Option D is also correct: DAS simplifies management of Huawei Cloud and supported remote databases through centralized tooling, diagnostic features and a secure console experience.

Option C is false because the official Huawei V3.5 slide identifies developers and database administrators (DBAs) as its main intended users—not 'workload auditors'. A DBA is responsible for database performance, configuration, maintenance, access and availability. Auditors may examine operational evidence, but they do not replace the DBA audience in the service definition.

For example, a DBA troubleshooting a slow customer-orders query can inspect SQL behavior, use available diagnosis tools and evaluate index recommendations. An engine-compatible EXPLAIN statement can reveal whether a query uses an index or performs an expensive table scan. DAS can also simplify editing table structures and working with multiple managed database products such as RDS, GaussDB and supported document services. These conveniences do not remove the need for least-privilege access, backups, change approvals and awareness of database-specific SQL syntax. The correct answer follows directly from the official target-user definition: C. The explanation should not conflate database performance analysis with a dedicated organizational role of 'workload auditor'.

Technical commands / calculations from the reviewed batch

EXPLAIN SELECT *

FROM orders

WHERE customer_id = 1001;

“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.

“Cloud Connect provides both cloud connections and central networks.”

“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

Direct Connect and Cloud Connect solve different segments of enterprise networking. Direct Connect creates high-speed private connectivity between an on-premises data center and Huawei Cloud through a dedicated physical link. Cloud Connect provides private inter-region connectivity using cloud connections and central networks, and can work alongside Direct Connect to extend on-premises reachability to VPCs across supported regions.

Option A accurately characterizes Direct Connect. Option B describes the documented hybrid pattern: attach on-premises infrastructure to the cloud, then interconnect VPCs in other regions through Cloud Connect. Option D also matches the official Cloud Connect feature description. Option C is false because it presents Elastic IPs as the mechanism by which Cloud Connect establishes private on-premises-to-cloud communications. EIPs are public addressing resources, not the inter-region backbone or the dedicated customer access circuit.

A typical design is: on-premises data center - > Direct Connect - > VPC - > Cloud Connect - > remote VPC. Routing must be configured end to end, with appropriate CIDR planning, propagation, bandwidth allocations and security controls. High availability may require redundant physical circuits, dual customer routers, resilient BGP sessions and careful route-preference design. Neither Cloud Connect nor Direct Connect removes the need for application-layer authentication and encryption where required by policy. The correct false statement is C; do not confuse a public EIP with private hybrid-cloud connectivity.

“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.