Cisco 300-640 Exam Information and Actual Questions

  • Exam Code/Number: 300-640
  • Exam Name/Title: Implementing Cisco Data Center AI Infrastructure
  • Certification Provider: Cisco
  • Corresponding Certification: CCNP Data Center
  • Exam Questions: 82
  • Updated On: Jul 09, 2026

300-640
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Cisco
300-640 Exam
Implementing Cisco Data Center AI Infrastructure

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Cisco 300-640 Exam Overview:

Certification Vendor:Cisco
Exam Name:Implementing Cisco Data Center AI Infrastructure
Exam Number:300-640
Exam Price:Approximately USD 300 (varies by region)
Available Languages:English
Passing Score:Not officially published by Cisco
Exam Duration:90 minutes
Real Exam Qty:Approximately 55–65 (may vary)
Certificate Validity Period:3 years
Exam Format:Multiple choice, Multiple response, Drag and drop, Simlet
Related Certifications:CCNP Data Center
Cisco Certified Specialist - Data Center AI Infrastructure
Sample Questions:Cisco 300-640 Sample Questions
Exam Way:Online proctored or test center via Pearson VUE
Pre Condition:No strict prerequisites; CCNP Data Center knowledge recommended
Official Syllabus URL:https://www.cisco.com/site/us/en/learn/training-certifications/exams.html

Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
Security and Governance in AI Data Centers- Infrastructure security
  • 1. Network segmentation and policy enforcement
    • 2. Secure access to AI workloads
      AI Infrastructure Deployment and Operations- Deployment models
      • 1. Hybrid AI infrastructure integration
        • 2. On-premises AI clusters
          - Operations and lifecycle management
          • 1. Monitoring and observability
            • 2. Performance tuning and optimization
              Compute and Storage for AI Infrastructure- Storage systems
              • 1. Distributed storage concepts
                • 2. High-throughput storage for AI training data
                  - Compute architecture
                  • 1. GPU-based compute nodes
                    • 2. HPC-style scaling considerations
                      Data Center Networking for AI Workloads- High-performance fabric design
                      • 1. Low-latency switching and routing considerations
                        • 2. Leaf-spine architecture in AI environments
                          - Cisco Data Center networking technologies
                          • 1. Cisco Nexus platform concepts
                            • 2. Cisco ACI integration concepts
                              Data Center AI Infrastructure Fundamentals- AI/ML workload requirements in data centers
                              • 1. Data pipeline and workload characteristics
                                • 2. Compute, GPU, and acceleration concepts


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