Which of the following scenarios is not suitable for resource sets in HUAWEI CLOUD Stack?
Which of the following tools in HUAWEI CLOUD Stack is mainly used to automate standardized O & M tasks and execute orchestration workflows?
A company uses HUAWEI CLOUD Stack to provide services. When some VMs often fail to be migrated, which of the following tools works best for quick diagnosis?
Match the following Auto Scaling (AS) concepts with their descriptions in Huawei Cloud Stack.


Explanation:
* AS group # A set of instances with the same application scenario
* AS policy # Specify the conditions for triggering an AS action
* AS configuration # Define the specifications of the instance to be added
* AS action # Its purpose is to keep the number of instances in the application system the same as expected Comprehensive and Detailed 150 to 200 words of Explanation From HUAWEI CLOUD Computing Topics:
This matching is consistent with Huawei's official Auto Scaling concept definitions. Huawei states that an AS group consists of a collection of instances that apply to the same application scenario , so that description belongs to AS group . Huawei also explains that an AS policy specifies the conditions for triggering a scaling action , which makes the second match straightforward.
Huawei's Auto Scaling documentation further distinguishes AS configuration from policy and action. The configuration defines the template or specifications for the instances that will be added during scaling, so define the specifications of the instance to be added correctly matches AS configuration . Finally, Huawei defines a scaling action as adding or removing ECS instances from an AS group, and states that its purpose is to keep the number of instances in the application system at the expected level. That directly matches the final description.
So the verified drag-and-drop mapping is: group = instance set , policy = trigger condition , configuration
= instance specification , and action = maintain expected instance count .
Which of the following issues cannot be handled by Service OM's resource audit?
Match the following Huawei Cloud Stack Cloud Configuration Service (CCS) components with their functions.


Explanation:
* CCS API # Provide the service logic of CCS tagging
* CCS Console # Provide administrators with visualized CCS tagging
* CCS Client # Provide administrators with cloud service tagging using CCS command lines Comprehensive and Detailed 150 to 200 words of Explanation From HUAWEI CLOUD Computing Topics:
This drag-and-drop match follows the normal architectural roles of Huawei Cloud Stack CCS components.
The CCS API is the backend service interface, so it is responsible for the service logic of CCS tagging . In cloud platforms, APIs handle request processing, tag creation, tag query, and tag-management actions exposed to other components or clients. The CCS Console is the graphical management interface, so its role is to provide administrators with visualized CCS tagging . This means administrators can perform tag- related operations through a web-based UI rather than command lines. The CCS Client is the command-line access component, so it is used to provide administrators with cloud service tagging using CCS command lines .
This mapping is also consistent with standard Huawei Cloud Stack component design principles: API for backend logic , Console for visual management , and Client for CLI-based operations . In practical cloud O & M and resource governance, these three components complement each other by supporting programmatic integration, web-based administration, and command-line automation. Therefore, the verified matching is:
CCS API # service logic , CCS Console # visualized tagging , and CCS Client # command-line tagging .
Which of the following data is best suited for storage in Gnocchi on OpenStack?