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Automating Cisco Data Center Networking Solutions

Provider
Pearson VUE
Format
Written, proctored Cisco certification examination; pass/fail grading.
Time limit
90 minutes
Exam fee
$US300, or use Cisco Learning Credits
Examination outline
  • Network Automation Foundation (15%)
    • Describe OpenConfig, IETF, and native YANG models
    • Describe ACI-based network-centric mode including objects such as EPG, bridge domains, contracts, and VRFs
    • Describe DPUs in data center network switches
    • Describe NETCONF, gNMI, gRPC, and gNOI
    • Construct a gRPC payload based on a YANG module using tools such as YANG Suite and pyang
  • Infrastructure as Code (25%)
    • Describe infrastructure as code (IaC) and GitOps
    • Construct network configuration templates with Jinja2 using features such as loops, conditionals, output modifiers, and filters
    • Construct an Ansible playbook with controller and device collections
    • Construct a Terraform plan with controller and device providers
    • Troubleshoot network automation solutions based on Ansible and Terraform
  • Network Element Programmability (25%)
    • Construct a network automation solution with Python using ncclient to manage and monitor configurations
    • Construct a device-level network automation solution for Day-0 provisioning with POAP
    • Implement on-box programmability and automation with NX-OS using
    • Describe the use of templates and policies in Nexus Dashboard
    • Construct network configuration templates with Nexus Dashboard
    • Describe capabilities and features of NX-API
  • Operations (25%)
    • Describe use of network topology simulation related to data center operations
    • Implement change validation for a network automation solution using pyATS CLI tools
    • Describe architectural components of model-driven telemetry
    • Configure a subscription for model-driven telemetry on NX-OS devices (gNMI and gRPC)
    • Integrate a network automation solution with a network source of truth
    • Construct a Python script that retrieves network health data from NX-OS devices via CLI and Nexus Dashboard
    • Troubleshoot packet flows for containerized workloads on Linux hosts considering VLANs, veth, bond interfaces, subinterfaces, and bridges
  • AI in Automation (10%)
    • Describe AI-assisted code development for network automation
    • Describe the security risks in a given AI-based network automation solution
    • Describe the integration of network devices, controllers, and management platforms with AI agents
Examination sources