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Cisco 300-640 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Center AI Infrastructure Fundamentals | - AI/ML workload requirements in data centers
|
| Topic 2: Security and Governance in AI Data Centers | - Infrastructure security
|
| Topic 3: AI Infrastructure Deployment and Operations | - Deployment models
|
| Topic 4: Data Center Networking for AI Workloads | - High-performance fabric design
|
| Topic 5: Compute and Storage for AI Infrastructure | - Storage systems
|
Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:
1. What is the process involved in workload scheduling for AI environments?
A) optimization of licensing structures for compliance
B) aggregation of device statistics for reporting
C) generation of backup images for restoration operations
D) assignment of tasks to compute elements for optimized performance
2. A financial company plans to deploy an AI training and inference infrastructure to support its customers. The team must use a solution that provides 96 GPUs, aligns with NVIDIA-compliant reference architectures, and enables cloud-based management of the entire on-premises network environment. Which Cisco solution meets the requirements?
A) Cisco HyperFabric AI Medium AI Cluster with Cisco 6000 switches and AI servers on premises
B) Cisco HyperFabric AI Small AI Cluster with Cisco 6000 switches and AI servers on premises
C) Cisco Intersight AI fabric with Nexus 9000 switches and AI servers on premises
D) Cisco Nexus Dashboard deployed in AWS or Azure with Nexus 9000 switches and AI servers on premises
3. Which function is provided through natural language processing?
A) compression of large configuration files for storage efficiency
B) annotation of data transmission protocols for device authorization
C) automated conversion of spoken or written content into structured data
D) filtration of duplicate entries from transaction records
4. An engineer is deploying a Cisco AI POD environment to support large-scale AI workloads. The solution must provide a software-defined storage platform with a Disaggregated Shared- Everything architecture, allow compute nodes to run on Cisco UCS C225 M8 servers managed through Cisco Intersight, and deliver exabyte-scale, all-flash performance with integrated high- speed RDMA and GPU Direct Storage capabilities. Which solution meets the requirements?
A) Local NVMe SSDs within each GPU server
B) NetApp All-Flash FAS (AFF)
C) Pure Storage FlashBlade
D) VAST Data Universal Storage
5. 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) NetFlow with hourly exports
C) Daily syslog review
D) Manual CLI inspection once per week
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: A |



