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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

1. During validation testing, an engineer observes microbursts causing packet drops on GPU uplinks. Which monitoring capability best detects short-duration congestion events?

A) Streaming telemetry with high-frequency sampling
B) Manual CLI inspection once per week
C) NetFlow with hourly exports
D) Daily syslog review

2. A Cisco AI infrastructure requires fast convergence after a spine switch failure. Which routing design principle best supports this objective?

A) Layer 2 loop dependency
B) Static route redistribution
C) Equal-cost multipath routing
D) Single-path forwarding

3. What is the process involved in workload scheduling for AI environments?

A) assignment of tasks to compute elements for optimized performance
B) optimization of licensing structures for compliance
C) aggregation of device statistics for reporting
D) generation of backup images for restoration operations

4. Which result is provided through image recognition using AI?

A) routing of multicast messages across network boundaries
B) anonymization of audit trails for compliance objectives
C) scheduling of management tasks during maintenance periods
D) detection and labeling of visual elements from digital sources

5. A network engineer analyzes RoCEv2 traffic flows in an AI training cluster and notices that all RoCEv2 packets have the Don't Fragment bit set in the IP header. Why must RoCEv2 set the DF bit in all packets?

A) to indicate to intermediate switches that the packet contains RDMA traffic requiring special handling
B) to prevent IP fragmentation that would break the InfiniBand sequence numbering and ordering guarantees
C) to enable Path MTU Discovery so that the optimal packet size can be negotiated
D) to ensure that packets always take the same path through ECMP routing for consistent latency

Solutions: