Free H19-301_V3.0 Exam Braindumps
HCSA-Presales-IP Network Certification V3.0 (Retired and Replaced with H19-301_V4) Questions 41–45 (page: 10)

Updated On: 10-Feb-2026

In order to increase the redundancy of leaf switches, we can use stack or M-LAG technology. However, Huawei CloudEngine 6881 can't support M-LAG.

  1. TRUE
  2. FALSE

Answer(s): B

Explanation:

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.


Reference:

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

Huawei CloudEngine 6881 Product Documentation.



The data center autonomous driving network standard promoted by both industry and Huawei falls into six levels. The highest level is L5: full autonomous network.

  1. TRUE
  2. FALSE

Answer(s): A

Explanation:

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.


Reference:

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

Huawei Autonomous Driving Network White Paper.



Huawei's data center autonomous driving network can locate faults within 1 minute, analyze faults within 3 minutes, and rectify faults within 5 minutes.

  1. TRUE
  2. FALSE

Answer(s): A

Explanation:

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.


Reference:

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

Huawei Autonomous Driving Network White Paper.



Huawei's data center autonomous driving network sits at which level?

  1. L1: assisted O&M
  2. L2: partially autonomous network
  3. L4: highly autonomous network
  4. L0: manual O&M
  5. L3: conditional autonomous network

Answer(s): C

Explanation:

Understanding Autonomous Driving Network Levels:

The Autonomous Driving Network (ADN) framework defines six levels of automation, ranging from L0 (manual operations) to L5 (full autonomy).

Huawei's Data Center ADN Level:

Huawei's data center autonomous driving network solution is designed to achieveL4: highly autonomous networkcapabilities. At this level, the network can self-optimize, self-heal, and handle most tasks without human intervention, requiring minimal oversight for complex scenarios.

Conclusion:The correct answer is Option C, as Huawei's data center ADN operates at L4.


Reference:

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

Huawei Autonomous Driving Network White Paper.



What are the differentiators of Huawei CloudFabric 3.0 data center network solution? (Select All that Apply)

  1. Full-lifecycle automation
  2. Network-wide intelligent O&M
  3. All-wireless access
  4. All-Ethernet storage and HPC network

Answer(s): A,B,D

Explanation:

Overview of Huawei CloudFabric 3.0:

Huawei CloudFabric 3.0 is a next-generation data center network solution that emphasizes automation, intelligence, and unified connectivity for diverse workloads.

Analysis of Each Differentiator:

Full-lifecycle automation:CloudFabric 3.0 provides end-to-end automation for provisioning, configuration, and management, reducing operational complexity.

Network-wide intelligent O&M:AI-driven tools enable proactive fault detection, analysis, and resolution, improving network reliability.

All-wireless access:This is incorrect. CloudFabric 3.0 focuses on wired Ethernet networks rather than all-wireless access.

All-Ethernet storage and HPC network:CloudFabric 3.0 supports unified Ethernet-based connectivity for storage, high-performance computing (HPC), and other workloads, simplifying infrastructure.

Conclusion:The correct differentiators are Options A, B, and D.


Reference:

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

Huawei CloudFabric 3.0 Solution Brochure.



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