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Cisco 300-640 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| AI Infrastructure Deployment and Operations | - Deployment models
|
| Data Center AI Infrastructure Fundamentals | - AI/ML workload requirements in data centers
|
| Data Center Networking for AI Workloads | - Cisco Data Center networking technologies
|
| Security and Governance in AI Data Centers | - Infrastructure security
|
| Compute and Storage for AI Infrastructure | - Compute architecture
|
Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:
Question 1
Drag and Drop Question
Refer to the exhibit. When a new AI backend network that supports Cisco UCS-based GPU servers with NVIDIA Connect-X network adapters is benchmarked, the traffic distribution observed has unacceptable variability across the interfaces. Drag and drop the code snippets from the bottom onto the boxes in the code to configure the switch to resolve the issue.
Question 2
A network architect designs a Cisco AI fabric with spine-leaf topology. What is the primary advantage of this architecture for AI training workloads?
A. Elimination of routing protocols
B. Predictable low-latency east-west traffic
C. Reduced need for IP addressing
D. Simplified wireless integration
Question 3
Which result is provided through image recognition using AI?
A. routing of multicast messages across network boundaries
B. scheduling of management tasks during maintenance periods
C. detection and labeling of visual elements from digital sources
D. anonymization of audit trails for compliance objectives
Question 4
An engineer deploys BGP EVPN in a Cisco VXLAN fabric. Which route type advertises MAC and IP binding information for endpoints?
A. Type 5
B. Type 2
C. Type 1
D. Type 4
Question 5
A data center is deploying an AI infrastructure for LLM training and model inference. This infrastructure requires high GPU density, low-latency interconnects, and the ability to scale compute resources. When considering the Cisco UCS C885A M8 Rack Server for the deployment, which design aspect is the most critical for achieving optimal performance and scalability in this environment?
A. configuring the server with the minimum amount of RAM to reduce initial costs
B. implementing a redundant power supply configuration to ensure high availability
C. selecting the appropriate Nexus Fabric and its configuration to minimize latency
D. using the maximum number of CPU cores to support the virtualization overhead
Solutions:
| Question 1 Answer: Only visible for members | Question 2 Answer: B | Question 3 Answer: C | Question 4 Answer: B | Question 5 Answer: C |







