Implementing Cisco Data Center AI Infrastructure — Information & Free Practice

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Implementing Cisco Data Center AI Infrastructure

Examination outline

AI Fundamentals and Applications (20%)
- Describe AI/ML workload types
- Describe the AI lifecycle
- Describe AI use cases
- Describe the types of AI infrastructure
- Describe the components used for AI environments
- Describe Cisco AI solutions
AI Infrastructure Components and Architecture (30%)
- Evaluate network deployment based on AI workload requirements
- Evaluate compute deployment based on AI workload requirements
- Evaluate storage deployment based on AI workload requirements
- Evaluate power, efficiency, and sustainability based on AI workload requirements
- Evaluate hybrid AI deployment with cloud integration
AI Infrastructure Deployment and Data Management (30%)
- Configure high-performance networks to support AI workloads using Cisco Data Center
- Configure high-performance compute and storage to support AI workloads using Cisco UCS
- Deploy AI-ready fabrics using Cisco orchestration tools
AI Infrastructure Operations and Troubleshooting (20%)
- Implement benchmarks to evaluate AI infrastructure performance
- Implement monitoring of AI data center infrastructures using Cisco solutions
- Monitor AI infrastructure using system messages and management tools
- Troubleshoot AI infrastructure using system messages and management tools

Examination sources

This examination may be required or accepted as an alternative, depending on the license and application pathway.