H13-527_V5.0 Sample Questions Answers

The best verified answer is A. AutoOps built-in scripts . Huawei’s HUAWEI CLOUD Stack O & M documentation states that Automated Jobs automatically detect faults of each cloud service , and that the automation scripts or jobs of each cloud service are displayed and can be centrally managed . That makes AutoOps built-in scripts the most suitable choice for quick diagnosis when VM migration failures happen repeatedly, because this is exactly the kind of recurrent platform-side fault scenario where automated diagnosis scripts are useful.

The other tools are more specialized for different problem domains. CloudNetDebug is described by Huawei as a network diagnosis tool on virtual networks and is mainly used to detect network traffic interruption, packet loss, and full-link virtual network faults. Call chain is associated with application tracing or APM-style request tracing, not VM migration troubleshooting. ECS storage troubleshooting tools are aimed at storage-related fault analysis rather than general VM migration diagnosis.

Therefore, for fast diagnosis of frequent VM migration failures in Huawei Cloud Stack O & M, the most appropriate tool is AutoOps built-in scripts , so the verified answer is A .

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The best verified answer is A and D . Huawei’s official EVS documentation states that the major disk performance metrics include IOPS, throughput, and latency . Among the options given in your question, throughput is therefore definitely one of the major EVS disk metrics. ( ; )

In addition, Huawei EVS usage materials consistently treat capacity as a core disk attribute when defining EVS disks and their sizing. Although capacity is not a performance metric like throughput, exam questions of this type often use “major metrics” more broadly to mean the key measurable characteristics users pay attention to when selecting disks. By contrast, maximum snapshots is a feature limit rather than a primary disk metric, and endurance is not listed by Huawei as one of the standard major EVS disk metrics in the product guidance cited above.

So based on Huawei documentation and the exam-style wording, the most defensible answer is A and D : Throughput and Capacity . ( )

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The correct answer is C. Quick and elastic adjustment of CPUs and memory . Huawei’s official HUAWEI CLOUD Stack materials describe Bare Metal Server (BMS) as dedicated physical servers that provide excellent or remarkable computing performance and direct access to physical resources. Huawei also explains that Ironic works with Nova and Neutron to manage BMS resources, highlighting the physical-server nature of the service. These characteristics support advantages such as physical isolation , no hypervisor performance overhead , and direct access to specialized hardware .

By contrast, Huawei’s ECS Advantages documentation explicitly says that with ECS, administrators can modify an ECS flavor, including the number of CPUs and memory size . That kind of quick and elastic CPU/memory adjustment is therefore an ECS advantage , not a BMS-over-ECS advantage.

So after correcting the option formatting, A , B , and D are all real BMS strengths, while C belongs more to virtualized ECS elasticity. Therefore, the verified answer is C .

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The best verified answer is A, B, and D . Huawei networking documentation shows that Internet access troubleshooting for cloud resources commonly involves checking whether an EIP is bound or whether a NAT gateway is configured , which supports A . Huawei guidance also explicitly refers to selecting or checking an appropriate EIP bandwidth , which supports D as a normal troubleshooting item.

Huawei documentation also shows that network ACL rules are part of VPC access control and can affect connectivity. Because network ACLs are stateless and traffic validation depends on rule direction, checking ACL rules is a reasonable O & M troubleshooting operation. In your option wording, inbound rules are still part of that validation scope, so B is acceptable.

By contrast, checking route configurations on core switches is not the standard first-line troubleshooting action for tenant-side VPC Internet access in Huawei Cloud Stack service O & M. The cloud service boundary is usually diagnosed first through NAT, ACL, and EIP-related configuration. Therefore, the verified answer is A, B, and D .

The correct fill-in answer is PB level . Huawei’s official HUAWEI CLOUD Stack SFS documentation states that the maximum capacity of a single file is 240 TB , and it further explains that the file system capacity can be scaled to the PB level . This is the exact Huawei wording used to describe the upper expansion capability of SFS.

This reflects the design goal of SFS in Huawei Cloud Stack: to provide managed, shared file storage for applications that require large-scale file-system growth over time. In other words, the size of one individual file and the total expandable capacity of the file system are two different things. A single file has a stated upper limit, but the whole file system can continue to grow far beyond that limit, reaching petabyte-scale capacity

Therefore, after correcting the sentence structure, the blank should be filled with PB level , which is the official Huawei description of the scalable upper capacity for the file system.

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The statement is FALSE . Official OpenStack Heat documentation says that when the Orchestration service was originally introduced, it worked with AWS CloudFormation templates , which are in JSON format. It then states that Heat also runs HOT templates written in YAML . This directly disproves the claim that both HOT and CFN templates support YAML in the same native sense.

OpenStack Heat documentation also explains that HOT was introduced to replace the Heat CloudFormation-compatible format (CFN) as the native format supported by Heat over time. That means HOT, not CFN, is the format more suitable for OpenStack-native deployments. The documentation further notes that YAML is easier to write, parse, and maintain, which is one reason HOT became the preferred OpenStack format.

Although internal parsing code shows the API can accept a JSON- or YAML-formatted document in some contexts, the OpenStack-native orchestration model clearly favors HOT and identifies CFN as the older CloudFormation-compatible format. So the combined statement is incorrect, and the correct answer is B (FALSE) .

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The statement is FALSE . Official OpenStack documentation clearly distinguishes pause from suspend . When a server is paused , OpenStack states that the state of the VM is stored in RAM , and the instance continues in a frozen state. This means memory is not written to disk during a pause operation. Because RAM is still occupied, a paused VM does not reduce resource usage to a minimal level in the way the question suggests.

By contrast, when a server is suspended , OpenStack documentation says that its state is stored on disk , all memory is written to disk , and the server is stopped. This is the action that is conceptually similar to hibernation. The distinction is important in OpenStack and Huawei Cloud Stack operations because pause is mainly used for temporary freezing of execution, while suspend is used when preserving state on disk is required. Therefore, the statement in the question incorrectly describes suspend , not pause . For that reason, the correct answer is B (FALSE) .

The correct answer is C. Format a physical storage device . Official OpenStack Cinder documentation shows that the Block Storage API supports operations such as attaching a volume to an instance , creating snapshots , and resizing/extending volumes . The Cinder CLI and API references explicitly list volume attachment, snapshot-related operations, and extend or resize functions as supported capabilities.

By contrast, formatting a physical storage device is not a standard function of the Cinder API. Cinder provides a cloud block storage service layer and interacts with backend storage through drivers, but low-level formatting of physical disks is a backend storage administration task rather than a tenant-facing or standard Cinder API operation. The Cinder service abstracts backend complexity and exposes logical operations on volumes, not raw hardware provisioning steps such as formatting a physical device.

In Huawei Cloud Stack and OpenStack-based environments, this distinction is essential: cloud users and administrators manage logical block storage resources through Cinder, while backend storage initialization and device formatting are handled outside normal Cinder-API operations. Therefore, the verified answer is C .

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The statement is TRUE. Huawei Cloud Stack separates management responsibilities between operation administrators and VDC administrators. Huawei’s service-management documentation shows that operation administrators work at the platform-wide level and can publish cloud services and associate them with approval processes, which reflects their broader administrative scope. By contrast, VDC administrators work within the boundary of their own VDC and manage service usage and permissions inside that tenant-like scope. This architecture strongly supports the rule that both roles can participate in approval-process customization, but the visibility scope is different.

In practice, this means an approval process created by an operation administrator can be used as a global process across the platform, while a process created by a VDC administrator is limited to the VDC context rather than being exposed to all tenants or all service domains. This aligns with Huawei Cloud Stack’s layered governance model, where global service governance belongs to operation administrators and tenant-level governance belongs to VDC administrators. Therefore, the correct answer is A (TRUE).

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The best verified answer is A, B, and C . Huawei ECS documentation explicitly supports upgrading ECS specifications and adjusting capacity-related resources, which makes D the reasonable and appropriate response when access performance is slow. Increasing compute or network capacity is aligned with normal cloud performance tuning practice.

By contrast, A is not a standard Huawei performance-optimization recommendation. Huawei OBS guidance focuses more on choosing proper regions, APIs, and storage access patterns than on “reducing buckets and storing data centrally” as a latency fix. Centralizing data can even create concentration rather than optimization.

B is also inappropriate as a first-line solution because replacing ECS with BMS changes the compute model but does not directly target the ECS-to-OBS access path. C is similarly inappropriate because CCE is a Kubernetes/container orchestration service, not a direct remedy for object-storage access latency in an ECS+OBS media scenario. Huawei positions CCE for container lifecycle management, not as a general replacement for ECS to solve this kind of OBS delay.

So the inappropriate measures are A, B, and C .

After correcting the wording, the best verified answer is C . Standard Huawei OBS access methods include the console , RESTful APIs , and SDKs . Huawei OBS documentation and related Huawei service guides consistently describe OBS as being accessed through API-based methods and software-development toolkits, and many Huawei cloud services explicitly reference RESTful and SDK interaction with OBS resources.

Option C is different. Although some Huawei cloud-native scenarios allow OBS buckets to be mounted to workloads in CCE through OBS volumes, that is a specialized container-storage integration scenario, not the standard administrator access method for OBS itself. Huawei’s CCE documentation also warns about constraints and resource overhead when OBS buckets are mounted to workloads, which reinforces that this is not the normal general-purpose way an administrator “accesses OBS.”

So for exam-style classification, A , B , and D are the normal access methods, while C is not the standard answer. Therefore, the correct answer is C .

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The correct fill-in answer is hosts. Huawei documentation explicitly states that memory overcommitment must be enabled on the node where the VM is deployed before the VM can use that capability. In Huawei Cloud Stack usage and O & M materials, the node here is the compute host, and the docs also describe memory overcommitment behavior in terms of host resources and overcommitment ratios.

Huawei O & M guidance further explains that host resource isolation must be enabled before memory overcommitment is enabled, which confirms that this setting is tied to the compute-host layer. Some Huawei documents also refer to enabling or disabling memory overcommitment for a host group, but the actual execution point is still the underlying hosts/nodes in that group. Because your fill-in statement says “enable memory overcommitment on _____,” the most accurate and broadly supported answer is hosts. Therefore, after correcting the sentence, the verified answer is hosts.

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The correct answer is B. VM performance deteriorates. Huawei’s official Resource Audit Overview for HUAWEI CLOUD Stack explains that Service OM resource audit is designed for high-frequency exception types caused by unplanned system failures, such as host reboot, process restart, or backup recovery. Huawei explicitly states that resource audit is used when problems such as residual resources and unavailable resources occur after those events. This directly matches options C and D. The same audit section also covers scenarios like abnormal VM states, orphan VMs, fake VMs, and image or volume inconsistencies caused by restoration or failed processes.

By contrast, VM performance deterioration is a performance management or capacity tuning issue, not a resource-audit exception type. Huawei’s compute resource management materials discuss performance tuning separately, such as changing VM flavors or adjusting resources, which shows that performance degradation is not handled by the Service OM resource-audit function itself. Therefore, among the four options, the issue that cannot be handled by Service OM’s resource audit is B.

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Horizon is the web-based dashboard for OpenStack, designed to provide a consistent graphical interface for managing cloud resources. In practice, Horizon focuses on presenting a consistent view of services to users and administrators, and OpenStack components commonly maintain API backward compatibility to support upgrades and continued interoperability. OpenStack documentation also shows that Horizon can be used in larger and multi-region environments, which supports the idea that scalability is relevant to its operational value.

However, API eventual consistency is not a Horizon value proposition. “Eventual consistency” is a concept found in distributed storage systems such as OpenStack Swift/Object Storage, where updates may take time to become visible everywhere. OpenStack documentation explicitly uses this term in the context of Object Storage behavior, not Horizon dashboard design. Because Horizon is a management dashboard rather than a distributed storage consistency model, API eventual consistency does not belong as one of its core value propositions. Therefore, the correct answer is A . This is the best-supported conclusion from official OpenStack documentation and aligns with Huawei Cloud training-style OpenStack topic coverage.

The correct answer is C. Glance Store . OpenStack’s official Glance architecture documentation states that all image data operations are performed using the glance_store library, and that this library is responsible for interaction with external storage back ends and/or local file systems . The same documentation explains that glance_store provides a uniform interface to access backend stores, which is exactly the function described in the question.

The other options do not match this role. The REST API exposes image service operations to clients, but it does not directly serve as the backend storage interaction layer. The database stores metadata about images, while the actual image binary data is handled through the storage interface. “ Glance Domain Controller ” is not a standard Glance core component in official OpenStack architecture. In Huawei Cloud Stack and OpenStack-based image management, the distinction between image metadata management and image data storage interaction is important, and the storage-facing part is handled by Glance Store . Therefore, the fully verified answer is C .

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