Cisco DCAUTO 300-635 case studies
Cisco DCAUTO 300-635 · Put your knowledge to work in context.
The Cisco 300-635 DCNAUTO exam is a concentration exam in Cisco's data center certification track, focused on automating and programmatically managing Cisco data center infrastructure. It is aimed at network engineers, data center operations staff, and automation-minded architects who already work with Cisco Nexus switching, Cisco ACI, or NX-OS environments and want to prove they can move from manual CLI work to repeatable, code-driven operations. The Cisco DCAUTO 300-635 case studies are 5 cases and about 3,258 words.
1APIC Inventory at 6,400 EPGs
Your team runs three APICs in a production ACI fabric with 6,400 EPGs across 180 tenants. A Python inventory job authenticates to /api/aaaLogin.json every time it fetches a page, then calls /api/class/fvAEPg.json?page-size=500&page=0..N until imdata is empty.
642 words, about 3 min2Terraform State Collision Across ACI Environments
A platform team manages 30 ACI tenants with Terraform. Prod and non-prod use the same S3 bucket and the same Terraform workspace; the S3 backend has no DynamoDB table and no use lockfile .
685 words, about 3 min3NDFC vPC Drift and a 90-Minute Upgrade Window
An NDFC instance manages two VXLAN EVPN fabrics: Fabric-A has 4 spines and 40 leaf switches, Fabric-B has 2 spines and 26 leafs. During a recent incident, an engineer manually changed the vPC domain ID on leaf-04 only; leaf-03 still has the old domain.
675 words, about 3 min4Telemetry at 10-Second Resolution for 1,200 Switches
You operate 1,200 Cisco Nexus 9000 switches running NX-OS 10.2(5). Capacity planning needs interface in/out octets and discards every 10 seconds for 48 hours, about 1.2 million time series.
646 words, about 3 min5Ansible Check Mode and Canary Rollback on NX-OS
A network automation team manages 24 Nexus switches across four sites with Ansible. The GitLab CI pipeline runs ansible-playbook -i inventory site.yml --check --diff on every merge request, then applies on main.
610 words, about 3 min