Objectives

After taking this course, you should be able to:

• Describe the architectural traits and patterns that improve application maintainability

• Describe the architectural traits and patterns that improve application serviceability

• Identify steps to design and build a ChatOps application

• Implement robust Representational State Transfer (REST) API integrations with network error handling, pagination, and error flow control

• Describe the necessary steps for securing user and system data in applications

• Describe the necessary steps for securing applications

• Identify common tasks in automated application release process

• Describe best practices for application deployment

• Describe methodologies for designing distributed systems

• Describe the concepts of infrastructure configuration management and device automation

• Utilize Yet Another Next Generation (YANG) data models to describe network configurations and telemetry

• Compare various relational and nonrelational database types and how to select the appropriate type based on requirements

Prerequisites

There are no formal prerequisites for Cisco Certified DevNet Associate certification, but you should make sure to have a good understanding of the exam topics before taking the exam as well as knowledge in the following areas:

• Knowledge of program design and coding with focus on Python

• Familiarity with Ethernet, TCP/IP, and Internet-related networking

• Understand the utilization of APIs

• Understanding of software development and design methodologies

• Hands-on experience with a programming language (specifically Python)

Here are Cisco learning resources that can help you prepare:

• Developing Applications and Automating Workflows Using Cisco Core Platforms (DEVASC)

Who this course is for:

• Network engineers expanding their skill-base to include software and automation
• Developers expanding expertise in automation and DevOps
• Solution architects moving to the Cisco ecosystem
• Infrastructure developers designing hardened production environments