Python scripting, APIs, data modeling, EEM applets, and orchestration tools.
Covers interpreting basic Python components and scripts, constructing valid JSON-encoded files, and understanding YANG data modeling language principles. Includes APIs for Cisco Catalyst Center and SD-WAN Manager, interpreting REST API response codes and payloads. Also covers constructing EEM applets for automation and comparing agent vs agentless orchestration tools. This domain represents 15% of the exam.
5 minutes
5 Questions
Automation and Artificial Intelligence (AI) are critical components of modern network management covered in CCNP Enterprise (ENCOR). Automation involves using tools and scripts to perform repetitive network tasks automatically, reducing manual effort and human error. In ENCOR, automation is primarily achieved through Infrastructure as Code (IaC), APIs, and configuration management tools like Ansible, Puppet, and Chef. These tools enable network engineers to define network configurations as code, allowing for consistent, repeatable deployments across multiple devices and environments. Automation significantly improves operational efficiency, reduces deployment time, and ensures standardization across the network infrastructure.
Artificial Intelligence enhances network management by enabling intelligent decision-making and predictive analytics. AI algorithms can analyze vast amounts of network data to identify patterns, predict failures, and optimize network performance. Machine learning, a subset of AI, allows systems to learn from historical data and improve their accuracy over time without explicit programming. In the context of ENCOR, AI is utilized for anomaly detection, identifying unusual network behavior that may indicate security threats or performance issues.
Together, Automation and AI form the foundation of Intent-Based Networking (IBN), where networks can self-configure, self-heal, and self-optimize based on business intent. Cisco's DNA Center exemplifies this integration, providing a centralized platform for network automation, analytics, and assurance. The combination allows network administrators to focus on strategic initiatives rather than routine operational tasks, leading to improved security posture, reduced operational costs, and enhanced business agility. Understanding automation frameworks, programmability concepts, and AI-driven network analytics is essential for CCNP Enterprise professionals to design and manage modern, intelligent networks effectively.Automation and Artificial Intelligence (AI) are critical components of modern network management covered in CCNP Enterprise (ENCOR). Automation involves using tools and scripts to perform repetitive network tasks automatically, reducing manual effort and human error. In ENCOR, automation is primari…