
CloudNetX (V1) PRACTICE EXAM
Course Description
This intensive, hands-on course prepares senior network and cloud engineers to design, implement, secure, operate, and troubleshoot large-scale hybrid network environments. The curriculum is tightly mapped to the CloudNetX (V1) objectives and balances architecture theory, practical CLI/cloud lab work, automation/IaC exercises, observability, and scenario-driven troubleshooting. Learners complete realistic labs (multi-cloud + on-prem emulations), assessed performance tasks, and a capstone network-design plus incident-response project that demonstrates mastery of architecture, zero-trust security, automation, monitoring, and remediation.
Who this course is for (target audience)
Senior network engineers, cloud-network architects, and site/network reliability engineers preparing for advanced hybrid network responsibilities or the CloudNetX (V1) exam. Recommended: multi-year enterprise networking experience and prior exposure to cloud networking and basic automation.
Prerequisite Titles (three)
Professional Experience & Lab Readiness
Senior network/cloud engineering experience, recommended prior certifications, and access to lab/cloud accounts and simulators.
Core Networking & Security Fundamentals
Solid TCP/IP & OSI knowledge; routing & switching (OSPF/BGP/VLANs); hybrid connectivity (VPN/SD-WAN/MPLS); network security and Zero-Trust basics; IAM concepts.
Automation, Observability & Operations
Basic scripting/automation (Bash/Python), Infrastructure as Code (Terraform/CloudFormation), monitoring/observability familiarity, network diagramming, and troubleshooting methodology.
Learning Objectives / Outcomes
After completing this course, learners will be able to:
Design robust hybrid network architectures — produce diagrams and written justifications that satisfy availability, scalability, and security requirements for multi-cloud + on-prem environments.
Configure and validate core routing, switching, and hybrid interconnects — implement and verify OSPF/BGP peering, VLAN segmentation, NAT, VPN/SD-WAN, and cloud interconnect solutions and demonstrate reachability and convergence.
Implement modern network security and Zero-Trust controls — deploy and validate firewalls, microsegmentation, ZTNA/SASE patterns, IAM controls (SSO/MFA/PKI), and wireless security measures.
Automate provisioning and manage IaC safely — author and execute reproducible IaC templates and automation scripts, manage state and idempotency, and implement change/rollback procedures.
Instrument and operate networks with observability — build telemetry pipelines, dashboards and alerts; interpret metrics/logs to identify bottlenecks and meet SLAs.
Troubleshoot and remediate complex hybrid incidents — apply structured troubleshooting, use packet/flow analysis and cloud diagnostics, contain and remediate incidents, and produce an RCA with preventive recommendations.
Course Structure & Module Titles (with details)
Module 1 — Foundations: TCP/IP, IP Addressing & Network Topologies
IPv4/IPv6 addressing and subnetting, CIDR, OSI/TCP-IP model, topology patterns (spine-leaf, campus, core/aggregation), addressing strategies for multi-tenant cloud environments.
Module 2 — Routing & Switching at Scale
OSPF and BGP design and troubleshooting, route filtering and redistribution, route reflectors, VLANs and trunking, multicast basics, and convergence validation procedures.
Module 3 — Hybrid Connectivity & Resiliency
Site-to-site VPNs, SD-WAN architecture and policy design, MPLS fundamentals, direct cloud interconnects, load-balancing patterns, redundancy and autoscaling impacts on network design.
Module 4 — Network Security & Zero-Trust Architecture
Firewall/security group design patterns, microsegmentation strategies, ZTNA/SASE concepts, CASB overview, PKI and certificate lifecycle, IAM patterns and wireless security hardening.
Module 5 — Automation & Infrastructure as Code
IaC best practices for network resources (Terraform/CloudFormation), module design and state management, CI/CD for network changes, basic automation with Python/Ansible, testing and rollback strategies.
Module 6 — Observability, Monitoring & Performance Engineering
Telemetry collection (metrics, logs, traces), dashboard and alert design, QoS fundamentals, performance tuning (latency, jitter, packet loss), and SLO/SLA measurement.
Module 7 — Troubleshooting & Incident Response
Structured troubleshooting methodology, packet and flow analysis, DNS/VPN/cloud interconnect troubleshooting, security incident lifecycle (contain, eradicate, recover), post-incident reporting.
Module 8 — Capstone: Design + Incident Simulation
End-to-end assignment: deliver a complete hybrid network design, implement core components in lab, and perform a timed incident simulation culminating in an RCA and remediation plan.
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