Cisco 300‑635 DCNAUTO — Automating Cisco Data Center Networking Solutions Practice Exams
About the Cisco 300-635 DCNAUTO exam
Exam at a glance
Professional tier, CCNP Data Center Concentration. Validates the skills to automate Cisco data center infrastructure — Nexus switches, ACI fabrics, UCS servers, and Intersight cloud management — using Python, REST APIs, YANG/gNMI, Ansible, Terraform, and Cisco NSO. 55–65 questions in 90 minutes, $300 USD. Pair this exam with the 350-601 DCCOR core to earn the full CCNP Data Center credential. Valid 3 years.
Domain weighting
- Network Automation Foundation — 15%
- Infrastructure as Code — 25%
- Network Element Programmability — 25%
- Operations — 25%
- AI in Automation — 10%
Key technologies (≈70% of questions)
- Python for DC automation —
requestsfor REST,ucsmsdkfor UCS, Cobra SDK (acimodel + acicobra) for ACI,acitoolkitfor simpler ACI scripting. - NX-OS automation — NX-API REST + NX-API CLI, native + OpenConfig YANG models, gNMI subscriptions for streaming telemetry, EEM scripting for on-box event response.
- ACI automation — APIC REST API (Managed Object tree, MO classes), REST request structure for tenants/EPGs/contracts/bridge domains, ACI Toolkit, Ansible
cisco.acicollection. - UCS / Intersight automation — UCS Manager XML API, ucsmsdk Python library, Intersight REST API, Terraform Cisco Intersight provider for IaC.
- Cisco NSO — basics of YANG-driven service models, device sync, and config templates.
Prerequisites
Cisco does not require formal prerequisites for the 300-635 concentration. Most candidates have already passed 350-601 DCCOR (or are preparing it in parallel) and have completed 200-901 CCNAAUTO for the Python / REST / JSON foundations. Working hands-on experience with Nexus, ACI, and UCS is strongly recommended.
Why take this certification
- Bridges traditional DC engineering and DevOps. DCNAUTO certifies the rare combination of Cisco data center knowledge and modern automation skills — the exact profile enterprises building software-defined data centers are hiring for.
- Completes the CCNP Data Center credential. Pair 300-635 with the 350-601 DCCOR core to earn the full CCNP Data Center certification.
- Salary uplift. Cisco DC automation engineers earn 15–25% more than traditional CCNP DC engineers, with senior automation architects in the $130,000–$160,000 USD range in the US.
- Real-world toolchain. Unlike vendor-neutral DevOps certifications, DCNAUTO tests the exact SDKs, APIs, and YANG models you use day-to-day on Cisco gear — instantly applicable to production work on Nexus, ACI, UCS, and Intersight environments.
What you'll learn in the 300-635 DCNAUTO exam
DCNAUTO is hands-on and scenario-driven. Expect questions that show you a Python snippet, REST payload, YANG model, Ansible playbook, or Terraform module and ask you to identify the correct output, the missing line, or the right tool to choose for a given DC automation task. Memorising syntax matters less than understanding which API/SDK is appropriate for each platform.
Core technologies you'll be tested on
- Python for DC automation: Cobra SDK (acimodel + acicobra) for ACI Managed Objects,
ucsmsdkfor UCS Manager scripting,requests+jsonfor REST workflows,acitoolkitfor simplified ACI provisioning,pyacifor ACI Python ORM. - NX-OS automation: NX-API REST for structured config + show commands, NX-API CLI for sending raw CLI over HTTPS, OpenConfig + Cisco native YANG models, gNMI subscriptions for streaming telemetry, Embedded Event Manager (EEM) scripting for on-box automation.
- ACI automation: APIC REST API structure (URL patterns, Managed Object classes), provisioning tenants / VRFs / bridge domains / EPGs / contracts, ACI Toolkit for quick scripting, Ansible
cisco.acicollection for declarative provisioning, Cobra SDK for full-fidelity automation. - UCS Manager + Intersight: UCSM XML API basics, ucsmsdk for Python-driven service profile and policy automation, Intersight REST API for global UCS / HyperFlex / SaaS-managed infrastructure, Terraform Cisco Intersight provider for IaC workflows.
- Cisco NSO basics: YANG-driven service models, device onboarding and sync, config templates, NETCONF transport.
- DC orchestration tools: Ansible (cisco.aci, cisco.nxos, cisco.intersight collections), Terraform (Intersight + ACI providers), Git workflows for DC infrastructure-as-code.
Automation patterns you'll need to recognize
- Choosing the right Cisco SDK or API for each platform — NX-API REST vs gNMI on Nexus, ACI Toolkit vs Cobra SDK on ACI, ucsmsdk vs Intersight REST on UCS.
- Constructing valid REST requests against APIC, NX-API, Intersight — URL structure, authentication tokens, JSON body shape, expected response codes.
- Building YANG/NETCONF/gNMI workflows on NX-OS for both config push and streaming telemetry consumption.
- Reading and writing small Python scripts that drive ucsmsdk, acitoolkit, or requests-based REST calls — recognizing the common imports, login patterns, and Managed Object handling.
- Designing Ansible playbooks for ACI tenant + EPG provisioning, NX-OS day-0 config, and Intersight server policy bundles.
- Authoring Terraform modules against the Cisco Intersight provider to declare service profiles + policies as code.
- Spotting when EEM scripting on Nexus solves a problem better than a remote automation framework.
How the practice exams help
Every free question and premium exam mirrors the scenario-driven, code-on-screen format DCNAUTO uses. Detailed explanations cover not just why the right answer is right but why each distractor is wrong — so you learn the SDK, API, and YANG/REST patterns rather than memorizing snippets.
How to prepare for the 300-635 DCNAUTO exam
A successful DCNAUTO preparation strategy combines Python practice, hands-on Cisco DevNet sandbox time, and exam simulation. Recommended approach:
- Foundation — Python + REST (2–3 weeks). If you haven't passed 200-901 CCNAAUTO, refresh Python (data structures, virtual environments,
requests, JSON, error handling), Git basics, and REST API mechanics (HTTP verbs, auth, status codes, JSON payload design). Review the official 300-635 DCNAUTO exam topics. - Nexus + ACI automation (4–5 weeks). Reserve free Cisco DevNet sandboxes for Nexus 9000 + ACI Simulator. Practice NX-API REST and NX-API CLI calls, write small Python scripts to push config, build at least one gNMI subscription example, and provision ACI tenants/EPGs/contracts using both the ACI Toolkit and Cobra SDK. Build at least one Ansible playbook against each platform.
- UCS + Intersight automation (3 weeks). Use the UCS Platform Emulator and Intersight DevNet sandbox. Write ucsmsdk scripts that create service profiles + policies, then replicate the same outcome via the Intersight REST API. Author a small Terraform module against the Cisco Intersight provider to declare a server policy.
- NSO + DC orchestration tools (1–2 weeks). Walk through the official Cisco NSO basics learning path. Understand the role of NSO service models, device sync, and YANG. Review where Ansible, Terraform, and NSO each fit in a DC automation stack.
- Practice exams (1–2 weeks). Take timed practice tests to identify weak areas. Aim for consistent 80%+ scores across all five domains before scheduling. Re-read explanations for every missed question — DCNAUTO rewards depth, not breadth.
Recommended timeline
12–16 weeks of focused study (10–15 hours per week) for engineers with existing CCNP DC knowledge plus 200-901 CCNAAUTO. Add 3–4 weeks if you're new to Python or to Cisco DC platforms.
Cisco DevNet DC sandboxes (free)
- Nexus 9000 Always-On Sandbox — reserved-time and always-on labs against real Nexus switches for NX-API REST, NX-API CLI, and gNMI practice.
- ACI Simulator Sandbox — full APIC + simulated fabric for tenant / EPG / contract provisioning using Cobra SDK, ACI Toolkit, and Ansible.
- UCS Platform Emulator (UCSPE) — downloadable VM that emulates UCSM API for full ucsmsdk + XML API practice.
- Intersight DevNet Sandbox — managed Intersight tenant for REST API + Terraform Cisco Intersight provider practice.
- Cisco NSO Sandbox — reserved sandbox with NSO installed and a few simulated devices for service-model practice.
Official resources
Download the official 300-635 DCNAUTO exam topics from Cisco Learning Network and bookmark the Cisco DevNet Data Center hub for sandboxes, code samples, and API documentation. The DCNAUTO learning path on DevNet is the closest free first-party study material.