Huawei H19-301_V3.0 Practice Test - Questions Answers, Page 5

Huawei'sSD-WAN solutionallows for the creation ofoverlay topologiestailored to specific services. These topologies are logically independent, meaning they can be customized and optimized for different types of traffic (e.g., voice, video, data) without interfering with one another.This independence ensures that each service topology can meet its unique requirements, such as latency, bandwidth, and security, while maintaining overall network efficiency.

HCSA-Presales-IP Network Study Guide, Section: 'SD-WAN Overlay Topologies.'

Huawei SD-WAN Solution Documentation, Service-Based Topology Planning.

Geographic Redundancy in SD-WAN Controllers:

Huawei's SD-WAN solution provides geographic redundancy to ensure high availability and disaster recovery.

Analysis of Each Statement:

Option A:This is correct. The active and standby clusters share the same domain name or IP address, enabling seamless failover during an active/standby switchover.

Option B:This is correct. Geographic redundancy requires the active and standby clusters to have the same number of nodes to ensure balanced performance.

Option C:This is correct. Huawei's SD-WAN solution supports only one active cluster and one standby cluster for geographic redundancy.

Option D:This is incorrect. While the active and standby clusters synchronize data in real time, only the active cluster provides services. The standby cluster remains idle until a failover occurs.

Conclusion:The FALSE statement is Option D.

HCSA-Presales-IP Network V3.0 Training Material, Chapter 9: SD-WAN Solutions.

Huawei SD-WAN Controller Documentation.

Understanding the Role of RR (Route Reflector):

In Huawei's SD-WAN solution, the Route Reflector (RR) plays a critical role in distributing routing information and ensuring efficient communication between CPEs (Customer Premises Equipment).

Analysis of Each Statement:

Option A:This is FALSE. The RR in Huawei's SD-WAN solution doesnot directly implement communicationbetween SD-WAN networks and legacy MPLS networks. Instead, it focuses on distributing VPN routes and tunnel information within the SD-WAN overlay network. Communication with legacy MPLS networks typically requires additional integration mechanisms.

Option B:This is correct. The RR can be deployed on a physical AR router or as a virtualized instance (AR1000V vCPE).

Option C:This is correct. The RR can be deployed independently or co-located witha CPE at a site, depending on the network design.

Option D:This is correct. The RR distributes VPN routes and tunnel information between CPEs based on predefined VPN topology policies.

Conclusion:The FALSE statement is Option A.

HCSA-Presales-IP Network V3.0 Training Material, Chapter 9: SD-WAN Solutions.

Huawei SD-WAN Solution Documentation.

Understanding SRv6 Support in AR Routers:

SRv6 (Segment Routing over IPv6) is a next-generation networking technology that simplifies traffic engineering and improves scalability in WANs.

Analysis of Each Model:

AR6300:This high-end AR router supports SRv6, making it suitable for advanced SD-WAN and WAN deployments.

AR6140E:This model does not support SRv6.

AR8140:This model also does not support SRv6.

None of the above:This is incorrect because the AR6300 supports SRv6.

Conclusion:The correct answer is Option A, as the AR6300 supports SRv6.

HCSA-Presales-IP Network V3.0 Training Material, Chapter 4: Router Product Portfolio.

Huawei AR Router Product Documentation.

Classification of Data Centers (DCs):

Data centers are classified into categories such as small, midsize, large, and ultra-large based on the number of standard racks they house.

Rack Classification Criteria:

Small DC:Less than 500 racks.

Midsize DC:500-1000 racks.

Large DC:1000-3000 racks.

Ultra-large DC:3000-10000 racks.

Conclusion:A data center with 3000-10000 racks falls under theultra-large DCcategory.

HCSA-Presales-IP Network V3.0 Training Material, Chapter 7: Data Center Solutions.

Huawei Data Center Network Documentation.

Hyper-Converged Data Center Network Solution:

Huawei's hyper-converged data center network solution emphasizes automation, intelligence, and efficiency across the entire lifecycle of network operations.

Impact of Full-Lifecycle Automation:

TTM (Time to Market):Full-lifecycle automation significantly reduces the time required to deploy and manage services, resulting in a90% reduction in TTM.

Proactive fault prediction:While automation enhances fault detection, proactive prediction of 90% of faults is primarily driven by AI and analytics, not just automation.

Storage performance:Improvements in storage performance are typically achieved through hardware optimization, not automation.

Unleashing computing power:This is related to resource utilization and orchestration, not directly to full-lifecycle automation.

Conclusion:The improvement attributed to full-lifecycle automation is Option A, as TTM is reduced by 90%.

HCSA-Presales-IP Network V3.0 Training Material, Chapter 7: Data Center Solutions.

Huawei Hyper-Converged Data Center Brochure.

Redundancy Technologies for Leaf Switches:

To enhance redundancy in data center networks, technologies like stacking and M-LAG (Multi-Chassis Link Aggregation Group) are commonly used.

Huawei CloudEngine 6881 Capabilities:

TheCloudEngine 6881series switchesdo support M-LAG, enabling active-active redundancy between two switches. This ensures high availability and load balancing.

Conclusion:The statement is FALSE because the CloudEngine 6881 supports M-LAG.

HCSA-Presales-IP Network V3.0 Training Material, Chapter 7: Data Center Solutions.

Huawei CloudEngine 6881 Product Documentation.

Autonomous Driving Network (ADN) Levels:

The ADN standard defines six levels (L0 to L5), ranging from manual operations (L0) to fully autonomous operations (L5).

Highest Level (L5):

AtL5, the network achieves full autonomy, capable of self-configuration, self-optimization, and self-healing without human intervention.

Conclusion:The statement is TRUE because the highest level of the ADN standard is indeed L5: full autonomous network.

HCSA-Presales-IP Network V3.0 Training Material, Chapter 7: Data Center Solutions.

Huawei Autonomous Driving Network White Paper.

Fault Management in Autonomous Driving Networks:

Huawei's autonomous driving network leverages AI and machine learning to achieve rapid fault detection, analysis, and resolution.

Fault Management Metrics:

Locate faults within 1 minute:AI-driven tools quickly identify the root cause of issues.

Analyze faults within 3 minutes:Advanced analytics provide detailed insights into the nature and impact of faults.

Rectify faults within 5 minutes:Automated remediation workflows resolve issues promptly, minimizing downtime.

Conclusion:The statement is TRUE because Huawei's autonomous driving network meets these fault management metrics.

HCSA-Presales-IP Network V3.0 Training Material, Chapter 7: Data Center Solutions.

Huawei Autonomous Driving Network White Paper.