1. Exam Code and Basic Information

As of April 2026, the core CCNA certification exam remains version 200-301, with no officially announced major roadmap changes. The exam lasts 120 minutes, contains approximately 100 questions, has a passing score of 825 out of a possible 1000, and costs $300. The certificate is valid for 3 years and can be maintained through Continuing Education (CE) credits.

2. Major Restructuring of Cisco Certification System (Effective February 3, 2026)

In February 2026, Cisco made its most significant overhaul of its certification system in a decade, primarily affecting DevNet and Automation, rather than the core CCNA networking certification:

DevNet has been officially renamed Cisco Automation and fully integrated into the CCNA/CCNP/CCIE framework.

CCNA Automation has been added, replacing the former DevNet Associate and CCNP Automation certifications, replacing the former DevNet Professional certification, and CCIE Automation, replacing the former DevNet Expert certification.

This change reflects an industry trend: automation and programmability have become core skills for network engineers, rather than optional skills.

3. 2026 CCNA 200-301 Exam Area Weighting

The CCNA exam remains divided into six core areas, with the weighting distribution largely unchanged, but some content has undergone minor adjustments:

Network Fundamentals (20%): OSI seven-layer model, TCP/IP protocol stack, IPv4/IPv6 addressing, subnetting, VLAN basics, and other core concepts

Network Access (20%): Switch configuration, VLAN and Trunk, STP/RSTP/PVST+, wireless basics, access control

IP Connectivity (25%): Routing principles, static routing, dynamic routing protocols (OSPF/EIGRP), route redistribution, IPv6 routing

IP Services (10%): DHCP, DNS, NTP, NAT/PAT, QoS basics

Security Fundamentals (15%): Network security principles, Access Control Lists (ACLs), WPA3 wireless security, basic threat protection

Automation and Programmability (10%): Network automation basics, Python scripting introduction, REST API, Ansible and Terraform tools

4. Key areas of content updates:

(1) Updates and adjustments to automation tools

Traditional configuration management tools such as Chef and Puppet have been removed, and Terraform has been added as an Infrastructure as Code (IaC) tool.

The application of Ansible in network configuration automation has been strengthened, requiring an understanding of the Playbooks writing and execution process.

A basic understanding of network automation frameworks and programmable interfaces (such as NETCONF/YANG) has been added.

(2) Integration of generative AI and intelligent network technologies

Basic concepts related to AI and machine learning have been added, mainly focusing on network optimization and security:

AI-driven network optimization: Understanding AI automation in SD-WAN and wireless environments, intelligent Wi-Fi channel adjustment, and AI-based QoE optimization.

AI security applications: Basic concepts of machine learning-driven intrusion detection, abnormal behavior recognition, and AI-based threat prevention.

AIOps basics: Artificial intelligence applications in network operations, including predictive maintenance, automatic fault diagnosis, and capacity planning.

(3) New examination of advanced STP features

In the area of ​​network access, STP has been added. The requirements for examining protection mechanisms are:

Understanding and configuring STP security features such as Root Guard, Loop Guard, BPDU Filter, and BPDU Guard

Mastering the application scenarios and configuration methods of these features to prevent STP-related attacks and network loop problems

(4) Enhancement of Wireless and Cloud Network Content

Added a detailed examination of the WPA3 wireless security protocol, including SAE authentication, enhanced encryption algorithms, and anti-brute-force cracking capabilities

Introduced basic cloud network concepts, including cloud service models (IaaS/PaaS/SaaS), cloud network connection methods, and basic cloud security principles

Strengthened the basic understanding of SDN and software-defined networking, laying the foundation for subsequent learning of CCNA Automation

(5) Updates and Expansion of Security Content

Emphasized the basic concepts and implementation principles of Zero Trust Network Architecture (ZTNA)

Added basic requirements for network security monitoring and log analysis

Expanded the examination of identification and protection methods for common network attack types

5. Exam Preparation Focus and Strategy Adjustment

Based on the latest changes in 2026, the following aspects should be emphasized when preparing for the CCNA exam:

(1) Enhanced Automation and Programmability

Master the basic usage of Ansible and Terraform, and understand their advantages and application scenarios in network configuration management.

Learn basic Python syntax and be able to write simple network automation scripts.

Understand the working principle of REST API and be able to use API to interact with network devices.

(2) In-depth Understanding of Advanced STP Features

Not only should you master the basic principles of STP, but you should also deeply understand the working principles and configuration methods of various STP protection mechanisms.

Verify the actual effects of these features through experimental environments and understand how they prevent network loops and attacks.

(3) Learning AI and Intelligent Network Concepts

You don't need to learn AI algorithms in depth, but you should understand the application scenarios and value of AI in networks.

Focus on how AI improves network performance, security, and operational efficiency.

(4) Detailed Mastery of Wireless Security and WPA3

Compare the differences between WPA2 and WPA3 and understand the security improvements of WPA3.

Master WPA3‘s configuration methods and applications in different scenarios

6. Recommendations for Efficient Exam Preparation Strategies

(1) Phased Learning Plan (8-12 weeks)

Foundation Phase (2-3 weeks): Review basic network concepts, set up a Cisco Packet Tracer or GNS3 experimental environment, and familiarize yourself with basic command-line operations.

Domain-Specific Intensive Phase (4-6 weeks): Study each exam area one by one, focusing on mastering the latest content and completing experimental exercises.

Practical Enhancement Phase (2 weeks): Take mock exams, solve real-world network problems, and strengthen troubleshooting skills.

Final Sprint Phase (1 week): Complete official mock exams, identify and fill knowledge gaps, and familiarize yourself with the exam pace.

(2) Recommended Core Learning Resources

Official Resources: Official courses, practice labs, and study guides provided by the Cisco Learning Network.

Experimental Platforms: Cisco Packet Tracer (free) or SPOTO Labs for simulating network environments and configuration exercises.

Books: CCNA 200-301 Official Cert Guide* (by Wendell Odom), CCNA 200-301 Study Guide

Online Courses: CCNA courses on SPOTO.

Summary: The CCNA 200-301 exams maintained core stability in 2026 while incorporating cutting-edge technologies such as automation, AI, and intelligent networking, reflecting the evolving skill set required by modern network engineers.

The SPOTO course focuses on new content such as advanced STP features, updated automation tools, AI network applications, and WPA3 wireless security. By centering on the core exam changes, the course helps you grasp the key exam points and pass the exam on your first try!