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Cisco 300-640 Exam Syllabus Topics:

Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

1. How does RAG enhance the capabilities of LLMs?

A) by retaining the LLM by altering its core parameters
B) by removing the data preparation and cleaning step
C) by providing access to proprietary data
D) by removing inherent biases from LLM outputs

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 seen this anomaly across more than one device in the fabric.
C) It indicates that the Nexus Dashboard has correlated the scope of the impact.
D) It indicates that the Nexus Dashboard has correlated this anomaly to activity by specific user account.

3. An engineer configures quality of service in the Cisco ACI fabric to connect VAST storage servers. Which combination of attributes must be selected?

A) Congestion Algorithm: Tail Drop
Congestion Notification: Disabled
B) Congestion Algorithm: Weighted Random Early Detection (WRED)
Congestion Notification: Enabled
C) Congestion Algorithm: Weighted Random Early Detection (WRED)
Congestion Notification: Disabled
D) Congestion Algorithm: Tail Drop
Congestion Notification: Enabled

4. A customer is deploying a new AI fabric with all new NVIDIA GPUs and must verify the performance between the nodes in the network. Which tool must be used to validate the customer benchmarks?

A) Spirent
B) NCCL
C) IXIA
D) iPerf

5. A company is building a network fabric for an AI training cluster that will train large language models. The cluster includes 256 GPUs distributed across 32 servers. Security requirements mandate isolation between different training projects and allowing shared access to a central storage system. Which approach provides the required security isolation and maintains optimal performance for GPU-to-GPU communication?

A) Implement port-based VLANs for each project with router ACLs controlling storage access at the distribution layer.
B) Configure QoS-based traffic steering with separate DSCP markings per project and policy-based routing to shared storage.
C) Deploy separate physical networks for each project with dedicated switches and cross-connects to shared storage.
D) Use VXLAN with separate VNIs per project and Group Policy Option to control granular access to shared storage.

Solutions: