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Cisco 300-640 Exam Syllabus Topics:

Section	Objectives
Topic 1: Security and Governance in AI Data Centers	- Infrastructure security 1. Network segmentation and policy enforcement 2. Secure access to AI workloads
Topic 2: Data Center Networking for AI Workloads	- Cisco Data Center networking technologies 1. Cisco Nexus platform concepts 2. Cisco ACI integration concepts - High-performance fabric design 1. Low-latency switching and routing considerations 2. Leaf-spine architecture in AI environments
Topic 3: AI Infrastructure Deployment and Operations	- Deployment models 1. Hybrid AI infrastructure integration 2. On-premises AI clusters - Operations and lifecycle management 1. Performance tuning and optimization 2. Monitoring and observability
Topic 4: Data Center AI Infrastructure Fundamentals	- AI/ML workload requirements in data centers 1. Compute, GPU, and acceleration concepts 2. Data pipeline and workload characteristics
Topic 5: Compute and Storage for AI Infrastructure	- Storage systems 1. High-throughput storage for AI training data 2. Distributed storage concepts - Compute architecture 1. GPU-based compute nodes 2. HPC-style scaling considerations

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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q16-Q21):

NEW QUESTION # 16
When considering a rail-only network design, when would adding spine switches make sense?

A. when providing greater overall total bandwidth within a single scalable unit
B. when increasing the overall available buffers that spines provide
C. when scaling out to support traffic between multiple scalable units
D. when needing a greater path redundancy within a single scalable unit

Answer: C

Explanation:
In a rail-only design, each scalable unit provides optimized east-west GPU communication within that unit. Spine switches are added when the design must scale beyond a single scalable unit and support traffic between multiple scalable units while preserving predictable performance for larger AI training environments.

NEW QUESTION # 17
What does workload distribution offer in an AI infrastructure with local and external resources?

A. isolation of analytic functions within remote processing clusters
B. enforcement of fixed security policies on distribution endpoints
C. restriction of automation to local storage and performance measures
D. distribution of computational tasks across multiple locations

Answer: C

Explanation:
Workload distribution in AI infrastructure enables computational tasks to be spread across local and external resources, improving scalability, resource utilization, and execution flexibility across multiple processing locations.

NEW QUESTION # 18
A network architect designs connectivity for a new Cisco AI POD operating in Intersight Managed Mode. To ensure high availability and aggregate bandwidth for external network traffic, a port channel must be established using multiple 100 GbE uplink ports on the fabric interconnects to connect to the upstream core switch infrastructure. Which specific policy, applied through the domain profile, must be modified to define and configure this port channel on the fabric interconnects for the desired uplink connectivity?

A. LAN connectivity policy
B. port policy
C. network connectivity policy
D. Ethernet network group

Answer: B

Explanation:
In Cisco Intersight Managed Mode, fabric interconnect port roles and uplink port channels are defined in the port policy associated with the UCS domain profile. Modifying the port policy allows the engineer to configure multiple 100 GbE uplink ports as a port channel for aggregated bandwidth and high availability toward the upstream network.

NEW QUESTION # 19
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 the Nexus Dashboard has correlated this anomaly to activity by specific user account.
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 this anomaly is a result of a higher-level root anomaly.

Answer: D

Explanation:
In Nexus Dashboard, a correlated anomaly means the displayed issue is associated with a higher-level root anomaly. The BGP peer-down event is being treated as a resulting or related symptom rather than the primary root cause, helping operators focus troubleshooting on the upstream issue first.

NEW QUESTION # 20
A network engineer is deploying an AI training fabric using Cisco Nexus switches with RoCEv2 enabled. During testing, packet drops occur when traffic bursts exceed buffer capacity. Which feature should be configured to minimize congestion and improve lossless Ethernet performance for GPU traffic?

A. Storm Control
B. BPDU Guard
C. DHCP Snooping
D. Priority Flow Control

Answer: D

Explanation:
Priority Flow Control (PFC) allows selective pausing of traffic classes during congestion, which is critical for RoCEv2 environments carrying GPU-to-GPU communication. AI workloads are highly sensitive to packet loss and retransmissions. BPDU Guard and DHCP Snooping are security features, while Storm Control only limits broadcast or multicast traffic and does not create lossless behavior for RDMA traffic.

NEW QUESTION # 21
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