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Cisco 300-640 Exam Syllabus Topics:

SectionWeightObjectives
Cisco AI Infrastructure Architecture30%- Network Architecture for AI Workloads
- Storage Architecture Considerations
- Hyperconverged Infrastructure for AI
- Cisco UCS AI Infrastructure Solutions
AI Infrastructure Fundamentals15%- GPU Architecture and Types
- AI Ecosystem Components
- AI Workload Characteristics
- AI Infrastructure Requirements
AI Infrastructure Deployment25%- Cabling and Connectivity
- Storage Configuration for AI
- Network Switch Configuration
- Hardware Installation and Configuration
- GPU Server Configuration
AI Infrastructure Operations20%- Performance Optimization
- Monitoring and Management Tools
- Troubleshooting Common Issues
- Capacity Planning
AI Infrastructure Security and Compliance10%- Access Control and Authentication
- Security Best Practices
- Compliance Considerations

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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q17-Q22):

NEW QUESTION # 17
What is a primary behavior that occurs during the model training stage of the AI lifecycle?

Answer: C

Explanation:
During model training, the model learns from training data by iteratively adjusting its internal weights and biases to reduce prediction error and improve performance against the defined objective function.


NEW QUESTION # 18
A large-scale retail store manages many compute resources spread across branch offices, which enables AI workloads to be processed on-premises. Each workload and site location requires specific OS installation and configuration. To simplify management, configuration, and deployment of the workloads, a Cisco Intersight feature must be used that enables workload deployment at scale. Which feature must be used to accomplish this functionality?

Answer: B

Explanation:
Fleet management in Cisco Intersight is used to manage and deploy workloads consistently across many distributed compute resources. It supports scalable operations such as OS installation, configuration, and policy-driven deployment across multiple servers and locations, making it the correct feature for large distributed AI workload environments.


NEW QUESTION # 19
A network administrator configures RDMA over Converged Ethernet version 2 (RoCEv2). Which transport protocol does RoCEv2 use at Layer 4?

Answer: A

Explanation:
RoCEv2 encapsulates RDMA traffic over UDP/IP, enabling routable RDMA communication across Layer 3 networks. TCP introduces retransmission and latency overhead unsuitable for high-performance GPU communication. SCTP and ICMP are not used for RoCEv2 transport.


NEW QUESTION # 20
An engineer deploys BGP EVPN in a Cisco VXLAN fabric. Which route type advertises MAC and IP binding information for endpoints?

Answer: A

Explanation:
EVPN Type 2 routes advertise MAC and optional IP bindings for endpoints, enabling efficient host reachability in VXLAN overlays. Type 5 routes advertise IP prefixes, while Types 1 and 4 handle Ethernet segment and multihoming information. AI fabrics rely heavily on accurate endpoint advertisement for scalability.


NEW QUESTION # 21
A network team is configuring quality of service (QoS) for RoCEv2 traffic on a VXLAN fabric. The team must ensure that congestion notification packets (CNP) generated by storage targets are never dropped in the network, as these packets are critical for congestion control feedback. How must CNP packets be handled in the QoS configuration to ensure reliable delivery?

Answer: A

Explanation:
CNP packets provide congestion feedback for RoCEv2 traffic and must be delivered reliably so senders can reduce their transmission rate when congestion is detected. Classifying CNP packets into a high-priority queue based on their DSCP marking ensures that these control packets receive preferential treatment and are not dropped during congestion.


NEW QUESTION # 22
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