Cisco 300-635 | Automating Cisco Data Center Solutions (DCAUTO / DCNAUTO) Certification Exam Guide & Practice Questions
The Cisco 300-635 examination—officially titled Automating Cisco Data Center Solutions (DCAUTO) and updated in modern tracks as Automating Cisco Data Center Networking Solutions (DCNAUTO)—validates an engineer's ability to implement, maintain, and troubleshoot programmatic data center environments. This professional-level concentration assessment tests technical mastery across five key pillars: network automation foundations, Infrastructure as Code (IaC), device-level programmability with Cisco NX-OS, Day-2 operations with Cisco Nexus Dashboard and streaming telemetry, and AI-assisted automation.
Modern data centers require automated fabric provisioning, continuous compliance validation, and event-driven remediation. Practicing with verified 300-635 certification exam questions allows candidates to evaluate their Python code interpretation, Ansible playbooks, and Terraform execution plans under timed conditions. Reviewing realistic scenarios alongside targeted Cisco 300-635 practice questions ensures you understand both controller-driven APIs and on-box Linux toolsets before exam day.
Exam Information
Attribute | Details |
Exam Vendor | Cisco Systems, Inc. |
Certification Name | CCNP Data Center, Cisco Certified DevNet Professional, and Cisco Certified Specialist – Data Center Automation and Programmability |
Exam Name | Automating Cisco Data Center Solutions (DCAUTO / DCNAUTO) |
Exam Code | 300-635 DCAUTO / DCNAUTO |
Certification Level | Professional / Concentration |
Exam Category | Data Center Infrastructure / Network Programmability & Automation |
Exam Version | v2.0 |
Exam Retirement Date | Not Announced |
Replacement Exam | None |
Registration Opening Date | Available via Pearson VUE |
Exam Cost | $300 USD (or redeemable via Cisco Learning Credits) |
Exam Duration | 90 Minutes |
Number of Questions | 55 – 65 questions |
Question Formats | Multiple Choice (Single & Multiple Response), Drag-and-Drop, Scenario Testlets, Code Completion |
Passing Score | Variable scaled score (~750–850 on a 300–1000 scale / approx. 825) |
Languages | English |
Delivery Methods | Online Proctored (Pearson VUE OnVUE) / Pearson VUE Authorized Test Center |
Retake Policy | Must wait 5 full calendar days beginning the day after the failed attempt |
Certification Validity | 3 Years |
Recommended Experience | 3–5 years administering data center fabrics, Python scripting, REST APIs, and Ansible/Terraform orchestration |
For official scheduling, exam requirements, and the latest blueprint updates, visit the official Cisco 300-635 certification page.
Career Opportunities & Industry Benefits
Target Job Roles: Data Center Automation Engineer, NetDevOps Architect, Cloud Infrastructure Developer, Site Reliability Engineer (SRE), and Senior Network Consulting Engineer.
Enterprise Operations Value: Certified engineers replace manual CLI configurations with declarative Infrastructure as Code pipelines, automate Day-0 provisioning via POAP, and stream model-driven telemetry into centralized monitoring fabrics.
Dual-Track Credential Progression: Passing 300-635 earns the Cisco Certified Specialist – Data Center Automation and Programmability designation and simultaneously serves as an eligible concentration exam toward both the CCNP Data Center and the Cisco Certified DevNet Professional certifications.
Industry Compensation: Specialized automation engineers and NetDevOps professionals command average base salaries and compensation packages ranging from $115,000 to $170,000+.
Official Syllabus Percentage Breakdown
The curriculum distributes data center automation competencies across five weighted domains:
Domain # | Official Syllabus Focus Area | Percentage Weight |
1.0 | Network Automation Foundation | 15% |
2.0 | Infrastructure as Code | 25% |
3.0 | Network Element Programmability | 25% |
4.0 | Operations | 25% |
5.0 | AI in Automation | 10% |
Detailed Exam Blueprint & Core Technical Concepts
1.0 Network Automation Foundation (15%)
Data Modeling & Protocols: Contrasting OpenConfig, IETF, and Cisco native YANG data models; constructing gRPC payloads using YANG Suite and pyang.
Model-Driven Transport: Comparing NETCONF (SSH transport, XML-RPC), RESTCONF (HTTPS, JSON/XML), gNMI (gRPC network management interface), and gNOI (operations interface).
Fabric Object Models: Analyzing Cisco Application Centric Infrastructure (ACI) network-centric object hierarchies (Tenants, VRFs, Bridge Domains, Application Network Profiles, and Endpoint Groups [EPGs]).
Data Center Hardware Acceleration: Explaining the architectural role and traffic offload mechanics of Data Processing Units (DPUs) in modern data center leaf switches.
2.0 Infrastructure as Code (25%)
IaC & GitOps Principles: Managing declarative infrastructure states through version control repositories, automated pull requests, and continuous delivery pipelines.
Jinja2 Templating: Constructing reusable NX-OS configuration templates utilizing filters, conditional evaluation (if-elif-else), and looping constructs (for).
Ansible for Data Center Fabrics: Building automated Ansible playbooks leveraging the cisco.nxos and cisco.aci collections for idempotent configuration deployment.
Terraform Provisioning: Creating declarative Terraform plans utilizing official Cisco ACI and Nexus Dashboard Fabric Controller (NDFC) providers to orchestrate fabric states.
Troubleshooting Pipelines: Diagnosing variable mismatches, state file locks, and syntax errors within Ansible and Terraform automation workflows.
3.0 Network Element Programmability (25%)
Python with ncclient: Constructing automation scripts to establish NETCONF sessions, retrieve operational filter data, and apply candidate configurations via <edit-config> RPCs.
Day-0 Provisioning via POAP: Configuring PowerOn Auto Provisioning (POAP) scripts to automate switch boot, license retrieval, and baseline configuration downloads over DHCP/TFTP/HTTP.
On-Box Automation: Running native Python scripts and interactive Bash shell commands inside Cisco NX-OS guest shell containers.
NX-API & Nexus Dashboard: Executing NX-API CLI/REST calls and constructing reusable configuration templates inside Cisco Nexus Dashboard (NDFC).
Exam Scenario Note: Candidates reviewing real 300-635 exam questions frequently encounter code snippets where they must identify faulty payload keys or resolve session credential timeouts in NX-API calls.
4.0 Operations (25%)
Pre/Post Change Validation: Utilizing pyATS and the Genie parsing library to extract operational state snapshots, perform differential comparisons (pyats diff), and validate maintenance changes.
Model-Driven Telemetry (MDT): Configuring dial-in and dial-out streaming telemetry subscriptions on Cisco Nexus switches using gRPC and gNMI protocols.
Source of Truth Integration: Synchronizing fabric operational states with external network sources of truth (such as NetBox or Nautobot).
Container Workload Networking: Troubleshooting packet forwarding across Linux network namespaces, veth pairs, bridge devices, bond interfaces, and 802.1Q subinterfaces.
5.0 AI in Automation (10%)
AI-Assisted Code Development: Utilizing generative AI tools for code linting, automated docstring generation, script refactoring, and synthetic test case generation.
Security & Governance Risks: Mitigating security risks in AI-generated scripts, including unvalidated input handling, API key exposure, and non-deterministic policy generation.
Agentic Telemetry Integration: Integrating AI remediation agents with Nexus Dashboard APIs and event-driven webhooks while maintaining strict human-in-the-loop approval gates.
Exam Format & Testing Rules
Forward-Only Navigation: Cisco testing software enforces strict linear progression. Once you confirm an answer and proceed, you cannot return to modify previous responses.
Question Formats: Multiple-choice (single and multiple select), drag-and-drop workflow steps, and scenario-based code completion testlets.
No Negative Marking: Scores are calculated solely from correct choices; there is zero point deduction for incorrect selections.
Testing Methods: Administered online via Pearson VUE OnVUE remote proctoring or at physical authorized test centers.
Proven Preparation Strategy
Master Infrastructure as Code and Programmability: Domains 2.0, 3.0, and 4.0 account for 75% of the exam weight. Prioritize hands-on lab time writing Jinja2 templates, structuring Ansible playbooks for NX-OS, and building Terraform plans for Cisco ACI fabrics.
Leverage Cisco DevNet Sandboxes: Access free, reservation-based Cisco DevNet sandboxes for Cisco ACI, Nexus Dashboard, and NX-OS to test ncclient scripts, pyATS testbeds, and REST APIs against live equipment.
Benchmark Timing with Timed Mock Tests: Working through a full-length 300-635 practice test alongside verified Cisco 300-635 exam dumps builds the parsing speed needed to debug Python code blocks and JSON payloads within the 90-minute limit.
Prepare for Your Certification Today
Validating your ability to build declarative data center pipelines, manage Cisco ACI object trees programmatically, deploy on-box Python tools, and monitor streaming telemetry is essential for modern NetDevOps engineers.
Strengthen your scripting fluency, explore sample scenarios using free 300-635 dumps, and build the practical test readiness necessary to pass your certification on your very first try.
Start practicing now and pass your Cisco 300-635 exam with confidence at ExamTopicsBase.