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Huawei H13-821_V3.0-ENU Exam Syllabus Topics:

Section	Weight	Objectives
Huawei Cloud Innovations and Solutions	5%	- Overview of Huawei Cloud innovations and solutions - Huawei Cloud IoT solution - Huawei Cloud EI solution - Huawei Cloud application and data solutions
Enterprise Application Architectures and Cloud Technologies	5%	- Background of enterprise cloud migration - Principles of enterprise application architecture design - Cloud-based architecture design case studies
Huawei Cloud O&M Solution	10%	- Cloud O&M overview - Open source O&M tools - Huawei Cloud O&M services
Cloud Native Application Architecture Design	30%	- Cloud Native Application Architecture 1. Huawei Cloud native application solutions 2. Mainstream frameworks of cloud native applications 3. Cloud native applications and microservices - Cloud Native Technologies 1. Serverless overview 2. Open source container technologies 3. Huawei Cloud container services 4. Cloud native concepts and background
Cloud-based Architecture Design of Conventional Applications	50%	- Cloud Security Service Planning 1. Cloud security design and Huawei Cloud security system 2. Network security 3. Data security 4. Workload security 5. Application security 6. Security management - Storage Service Planning 1. Storage service overview 2. Backup solution planning 3. Content Delivery Network (CDN) 4. Storage planning 5. Disaster recovery (DR) planning - Compute Service Planning 1. Compute service planning 2. Compute service overview 3. IMS planning 4. Auto-Scaling (AS) planning - Network Service Planning 1. Network planning 2. Network access 3. Network service overview - Database Service Planning 1. Database migration 2. Cloud database services

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Huawei HCIP-Cloud Service Solutions Architect V3.0 Sample Questions (Q55-Q60):

NEW QUESTION # 55
The disaster recovery of the database is very important to the production system of the enterprise. The enterprise is currently using the GaussDB (foropenGauss) distributed database as the production database. Now consider using DRS to realize the synchronization ability from the production database to the disaster recovery GaussDBf (oropenGauss) cluster, which of the following scenarios is suitable for this solution/

A. The production library may expand in the future and add new DN
B. The business requires that the RTO of the disaster recovery library must be within 5s
C. The topology of the production database cluster and the disaster recovery database cluster are inconsistent. For example, the production database has 6 DNs and the disaster recovery database has 3 DNs.
D. The disaster recovery database will have access to some query services, and these services will involve multi-table associated queries

Answer: A

NEW QUESTION # 56
In the Prometheus+Grafana open source operation and maintenance solution, Frometheus mainly plays the role of data collection, and Grafana is responsible for displaying the collected data, not responsible for data collection and processing.

A. False
B. True

Answer: A

NEW QUESTION # 57
A user wants to achieve cross-regional communication between VPCs. Which of the following services can help the user achieve the goal? (Multiple choice)

A. Peer-to-peer connection
B. Cloud Dedicated Line
C. Virtual Private Network
D. Cloud connection

Answer: C,D

NEW QUESTION # 58
The container uses cgroup technology to limit the use of CPU and memory. Reasonably setting the request and upper limit of container resources can effectively guarantee the resource usage quota of the container, avoid resource preemption and affect the stability of the operating environment, and do not affect container resources. Setting the upper limit of the quota can effectively improve the resource utilization of the node

A. False
B. True

Answer: A

NEW QUESTION # 59
A user purchases the elastic scaling service, and the bandwidth can be adjusted on demand through elastic scaling. When the service increases, the bandwidth is expanded, and when the service decreases, the bandwidth is reduced, which enhances the cost management of the service system. Currently, the scaling strategies supported by the auto scaling service mainly include: () strategy, timing strategy, and periodic strategy. Users can adjust the IP bandwidth on demand by selecting different scaling policies according to the actual situation.

Answer:

Explanation:
alarm

NEW QUESTION # 60
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