CCNP Data Center AI Workload Infrastructure Design

1. What is the primary advantage of using Cisco UCS (Unified Computing System) for AI workloads?

Unified compute, networking, and storage management

Lower power consumption than traditional servers

Built-in GPU acceleration only

Elimination of network latency

2. For secure AI workload deployment in Cisco data centers, which technology provides microsegmentation?

Cisco ACI with security contracts and EPGs

Traditional firewall rules only

VLAN isolation exclusively

Manual access control lists

3. In AI workload infrastructure, what is the advantage of Cisco Nexus Dashboard for monitoring?

Single pane of glass for fabric health and performance visibility

Manages only physical servers

Provides GPU scheduling exclusively

Handles backup management only

4. What does Cisco FlexPod combine for AI infrastructure deployment?

Compute, network, and storage in an integrated architecture

Only compute resources

Network devices exclusively

Storage devices only

5. For containerized AI workloads in Cisco data centers, which technology provides orchestration and networking?

Kubernetes with Cisco ACI CNI plugin

VLAN trunking only

Static container IP assignment

Manual network configuration

6. Which Cisco feature ensures consistent network performance for AI model training across distributed systems?

Traffic Engineering with Segment Routing (SR)

Random packet dropping

Static routing only

Manual bandwidth allocation per job

7. In designing AI workload networks, what does ECMP (Equal-Cost Multipath) enable in Cisco fabrics?

Load balancing across multiple equal-cost paths

Encryption of all traffic

Automatic GPU allocation

Storage deduplication

8. What is the primary benefit of using Cisco MDS 9000 Series in AI infrastructure?

Manages Fibre Channel SAN for high-speed storage access

Replaces all Ethernet switches

Provides GPU scheduling

Handles only backup operations

9. For AI workload data locality, which Cisco technology helps optimize data placement near compute?

Cisco ACI with Application Profiles

VLAN segmentation only

Static IP addressing

Manual server placement

10. In Cisco UCS, what does the Fabric Interconnect provide to blade servers?

Unified network, storage, and management access

Only Ethernet connectivity

Exclusive SAN connections

Direct GPU-to-GPU networking

11. Which Cisco fabric architecture component is responsible for network policy enforcement in ACI?

Leaf switches only

Spine and leaf switches with APIC controller

External firewalls exclusively

End-host security groups

12. For GPU-accelerated AI workloads, what is the recommended PCIe configuration in Cisco UCS servers?

PCIe 3.0 with x4 bandwidth per GPU

PCIe 4.0 or higher with sufficient lanes per GPU

PCIe 2.0 for cost savings

USB 3.0 connections for GPUs

13. Which Cisco technology enables QoS prioritization for AI workload traffic in multi-tenant environments?

Cisco ACI with Network Policy Objects

Manual VLAN tagging only

Default best-effort delivery

Static routing priorities

14. In designing an AI workload fabric, which network redundancy model is most suitable for critical training jobs?

Single uplink to core switches

Dual-plane design with equal-cost multipath (ECMP) routing

Passive-passive failover

Single point of failure tolerance

15. What is the role of Cisco Intersight in AI workload infrastructure management?

Provides unified management and monitoring across compute, network, and storage

Replaces all Cisco network devices

Exclusively manages GPU scheduling

Handles only virtual machine provisioning

16. In Cisco data center fabric design, what does VXLAN primarily enable?

Network virtualization and multi-tenancy

Storage encryption across all devices

Automatic GPU discovery and allocation

Direct memory access between servers

17. What is NVMe-oF (NVMe over Fabrics) primarily used for in AI data center design?

High-speed, low-latency storage access over the network

Virtual machine network isolation

GPU temperature monitoring

Backup and disaster recovery only

18. Which Cisco fabric technology provides low-latency, lossless Ethernet for AI workload traffic in data centers?

Cisco ACI (Application Centric Infrastructure)

Cisco Data Center Ethernet Fabric (DCEF)

Cisco Nexus 9000 Series with VXLAN

Traditional spanning tree protocol

19. What bandwidth requirement consideration is critical for AI training workloads in Cisco data centers?

Minimum 1 Gbps per GPU

North-south traffic dominates over east-west

East-west bandwidth must support collective communication patterns

Bandwidth is negligible for AI workloads

20. Which Cisco storage technology is optimized for AI workloads requiring high throughput and low latency?

Cisco MDS 9000 Series Fibre Channel

Cisco Nexus Data Broker (NDB)

Cisco FlexPod with NVMe-oF

Traditional SAN with SATA drives

CCNP Data Center AI Workload Infrastructure Design Quiz