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 B (FALSE) . Huawei documentation supports the first part of the statement: Combined API is described as providing the service backend for services such as ECS, BMS, IMS, and EVS , and Huawei usage materials show console requests being forwarded through the UI to Combined API for backend processing. That means it does function as a backend service layer between the console and underlying cloud services.

However, the statement becomes incorrect when it says Combined API must be deployed in the Global zone . Huawei architecture documentation explains that Huawei Cloud Stack includes both a global zone and regional deployment structure , and not all components belong to the global zone. Huawei snippets describing global-region deployment list typical global-zone components such as ManageOne and the cloud service console , while Combined API is described separately as a service backend in the broader architecture of the region/global deployment model. This supports the conclusion that Combined API is not simply a mandatory global-zone-only component .

So the backend-function part is true, but the deployment claim is not. Therefore, the overall statement is FALSE .

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The correct answer is C. Tenant application response time . Huawei’s comprehensive monitoring documentation states that service monitoring tests the health of the current application and locates application exceptions based on monitoring metrics such as response time and availability . That directly matches the scenario of monitoring tenant application response time .

The other options belong to different monitoring domains. Health status of the physical server power supply is hardware or infrastructure monitoring, not service monitoring. Virtual network congestion is a network-layer performance issue rather than an application service-monitoring scenario. Latency of the distributed tracing system is closer to tracing or APM platform internals than to the application service-monitoring scenario explicitly described in Huawei’s cited service-monitoring definition. Huawei’s wording focuses on the monitored application’s health, response time, and availability, not hardware power modules or tracing-platform latency.

Therefore, based on Huawei’s official description of comprehensive service monitoring , the scenario clearly covered is tenant application response time , making the verified answer C .

The best verified answer is D. Workspace . Huawei’s official health-check documentation for FusionCare shows that FusionCare supports unified health checks for multiple Huawei Cloud Stack components and services. The published health-check item lists explicitly include Service OM , eSight , and CCE and SWR , which confirms that those services are within FusionCare’s supported inspection scope.

By contrast, the Huawei monitoring materials mention Workspace Overview under broader monitoring capabilities, not under the FusionCare-supported health-check list shown in the cited documents. In other words, Workspace appears in Huawei’s overall monitoring ecosystem, but it is not evidenced in the cited FusionCare support list the way Service OM, eSight, and CCE are. That makes Workspace the option that cannot be checked using FusionCare in this question set.

So based on Huawei’s documented FusionCare-supported inspection items, A , B , and C are covered, while D is not shown as a FusionCare check target. Therefore, the verified answer is D .

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This question is best treated as a multiple-correct-answer item, because official OpenStack documentation shows that Nova-Scheduler and Placement are both directly involved in the scheduling workflow. The Nova scheduling reference explains that the scheduler receives a request specification and then sends the requirements to Placement , which determines the resource providers capable of satisfying the request. Placement returns candidate resource information, and Nova-Scheduler performs filtering, weighing, and final host selection.

OpenStack documentation also notes that the nova-scheduler and placement services are responsible for tracking resources and deciding which compute node instances should be on . That makes A and D the directly scheduling-related components. While Nova-Conductor and Nova-API participate in the broader instance build flow by receiving requests and coordinating actions, they are not the core components that actually perform the scheduling decision itself.

So, for strict technical accuracy based on official OpenStack architecture, the verified answer is A and D . If your exam system forces only one option, then A (Nova-Scheduler) is the closest single best answer, but the documentation supports A and D together.

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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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