Last Updated: Sep 05, 2026
No. of Questions: 82 Questions & Answers with Testing Engine
Download Limit: Unlimited
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| Section | Objectives |
|---|---|
| Data Center Networking for AI Workloads | - High-performance fabric design
|
| AI Infrastructure Deployment and Operations | - Operations and lifecycle management
|
| Data Center AI Infrastructure Fundamentals | - AI/ML workload requirements in data centers
|
| Security and Governance in AI Data Centers | - Infrastructure security
|
| Compute and Storage for AI Infrastructure | - Compute architecture
|
Question 1
Which components are part of the HyperFabric AI solution?
A. Cisco UCS servers combined with high-speed networking switches and third-party storage
B. integrated compute and networking hardware optimized for AI workloads, with optional cloud management
C. combination of Cisco networking hardware and software-defined storage designed for AI scalability
D. Cisco UCS servers with NVIDIA GPUs, switches, optional VAST Data Storage and cloud- managed networking
Question 2
A network engineer logs into Nexus Dashboard and sees an anomaly showing that a BGP peer connection has gone down. Next to the anomaly, a yellow bubble displays "Correlated." What does Nexus Dashboard indicate by "Correlated" in this case?
A. It indicates that this anomaly is a result of a higher-level root anomaly.
B. It indicates that the Nexus Dashboard has correlated the scope of the impact.
C. It indicates that the Nexus Dashboard has correlated this anomaly to activity by specific user account.
D. It indicates that the Nexus Dashboard has seen this anomaly across more than one device in the fabric.
Question 3
A financial company plans to deploy an AI training and inference infrastructure to support its customers. The team must use a solution that provides 96 GPUs, aligns with NVIDIA-compliant reference architectures, and enables cloud-based management of the entire on-premises network environment. Which Cisco solution meets the requirements?
A. Cisco Nexus Dashboard deployed in AWS or Azure with Nexus 9000 switches and AI servers on premises
B. Cisco HyperFabric AI Medium AI Cluster with Cisco 6000 switches and AI servers on premises
C. Cisco HyperFabric AI Small AI Cluster with Cisco 6000 switches and AI servers on premises
D. Cisco Intersight AI fabric with Nexus 9000 switches and AI servers on premises
Question 4
A solutions architect must implement a monitoring strategy for a new AI/ML data center infrastructure built on Cisco UCS X-Series servers with NVIDIA H100 GPUs, managed by Cisco Intersight. The main objectives are to gain deep visibility into GPU performance, identify resource bottlenecks for AI training workloads, and ensure the overall health and efficiency of the compute environment. Which Cisco Intersight capability is most critical for effectively monitoring this AI- centric infrastructure?
A. comprehensive health and performance monitoring, which provides real-time telemetry data for UCS servers, including granular metrics for NVIDIA GPUs, which enables direct insights into AI workload execution
B. Analyze feature automating the deployment and scaling of AI application containers and their underlying Kubernetes infrastructure, which reduces manual monitoring efforts
C. basic server health reporting, which is limited to CPU and memory statistics, and requires specialized third-party tools for any GPU-specific performance monitoring or diagnostics
D. integration with Cisco Nexus Dashboard for advanced network flow analytics and anomaly detection across the data center fabric, which ensures high-speed data transfer between GPU nodes
Question 5
A data center operator configures telemetry streaming on Cisco Nexus switches. What is the primary operational advantage over traditional SNMP polling?
A. Real-time visibility with lower overhead
B. Elimination of routing tables
C. Increased packet fragmentation
D. Mandatory hardware replacement
Solutions:
| Question 1 Answer: D | Question 2 Answer: A | Question 3 Answer: C | Question 4 Answer: A | Question 5 Answer: A |
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