Examen: Implementing Cisco Data Center AI Infrastructure (300-640)

Implementing Cisco Data Center AI Infrastructure v1.0 (DCAI 300-640) is a 90-minute examination associated with the CCNP Data Center Certification. This exam certifies a candidate's knowledge in the design, implementation, monitoring, and troubleshooting of AI infrastructure, including network, compute, storage, and orchestration solutions.

The following topics are general guidelines for the content likely to be included on the exam. However, other related topics may also appear on any specific delivery of the exam. To better reflect the contents of the exam and for clarity purposes, the guidelines below may change at any time without notice.

1.0 AI Fundamentals and Applications

• 1.1 Describe AI/ML workload types
• 1.2 Describe the AI lifecycle
• 1.3 Describe AI use cases
• 1.4 Describe the types of AI infrastructure
• 1.5 Describe the components used for AI environments
• 1.6 Describe Cisco AI solutions

2.0 AI Infrastructure Components and Architecture

• 2.1 Evaluate network deployment based on AI workload requirements such as bandwidth, latency, redundancy, scalability, and security
• 2.2 Evaluate compute deployment based on AI workload requirements such as CPU resources, GPU resources and connectivity, memory, virtualization support, scalability, redundancy, and workload types
• 2.3 Evaluate storage deployment based on AI workload requirements such as capacity, performance, redundancy and availability, and scalability
• 2.4 Evaluate power, efficiency, and sustainability based on AI workload requirements such as power and cooling, power usage effectiveness, and renewable energy
• 2.5 Evaluate hybrid AI deployment with cloud integration such as secure connectivity, data synchronization, and workload mobility

3.0 AI Infrastructure Deployment and Data Management

• 3.1 Configure high-performance networks to support AI workloads using Cisco Data Center
• 3.2 Configure high-performance compute and storage to support AI workloads using Cisco UCS
• 3.3 Deploy AI-ready fabrics using Cisco orchestration tools

4.0 AI Infrastructure Operations and Troubleshooting

• 4.1 Implement benchmarks to evaluate AI infrastructure performance
• 4.2 Implement monitoring of AI data center infrastructures using Cisco solutions such as Nexus Dashboard and Intersight
• 4.3 Monitor AI infrastructure using system messages and management tools to ensure reliability, scalability and performance
• 4.4 Troubleshoot AI infrastructure using system messages and management tools

It is recommended that candidates have sat the following course before attemppting the exam:

• DCAI- Implementing Cisco Data Center AI Infrastructure