The benefit in Obtaining the Automation and DevOps, Associate JN0-221 Exam Certification
- FWV Specialist Certifications provide opportunities to get a job easily in which they are interested in instead of wasting years and ending without getting any experience.
- FWV specialists have the knowledge to use the tools to complete the task efficiently and cost-effectively than the other non-certified professionals lack in doing so.
- FWV Specialist is distinguished among competitors. FWV Specialist certification can give them an edge at that time easily when candidates appear for a job interview employer seek to notify something which differentiates the individual to another.
- FWV Specialists will be confident and stand different from others as their skills are more trained than non-certified professionals.
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Reference: https://www.juniper.net/us/en/training/certification/certification-tracks/devops/?tab=jnciadevops
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Recommended Course: Introduction to Junos Platform Automation and DevOps (IJAUTI)
Introduction to Junos Platform Automation and DevOps (IJAUTI) is a fundamental course that’s related to the aforementioned JN0-221 exam. It is suitable for all individuals willing to strengthen their skills and ability to configure or monitor devices featuring the Junos OS. As part of the basic training prerequisites, candidates enrolling in this program must first satisfy the following requirements:
- Have basic knowledge of computer networking concepts
- Be proficient with the TCP/IP protocol suite and the OSI model
When it comes to the course content, this 3-day program will help candidates establish a strong mastery of automation concepts and gain the skills needed to work with DevOps automation tools, technologies, and protocols. Through this training, learners will get vital hands-on experience with the languages and tools commonly associated with automating the Junos OS platform within a DevOps environment.
Also, this course will focus on vital Python concepts, PyEZ, REST API, and Ansible, as well as their roles when automating Junos. Like many Juniper study options, the content of this training is well distributed to give candidates a clear overview of what they will be covering every day. Day one starts with the introduction including an outline of the Junos OS, DevOps, and the Junos automation stack. Here, candidates should understand the benefits of DevOps, traffic processing, basic configuration tasks, and interface types, among other topics.
Then, students will learn the details of XPath and XML, XML API and NETCONF, and JSON along with YAML. This stage also introduces candidates to Python and Ansible. It should be stated that the second module of your Juniper JN0-221 exam training has intense requirements, combining online sessions in the form of a series of lectures with vital hands-on labs.
Lastly, the instructors will focus their attention on two major topics. They will introduce the Junos PyEZ and then will conclude with the Junos REST API. Again, you will get some practical skills in these areas by completing the tasks in lab environments. You may want to visit the Juniper official training page to find out more details about this course before registering for your JN0-221 exam.
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Juniper JN0-221 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Python and PyEZ Automation | 25% | - Error and exception handling - Python basics and syntax - Modifying and applying configurations - Retrieving device status and configuration - Junos PyEZ library installation and usage |
| Topic 2: Junos Automation Stack and DevOps Concepts | 20% | - Junos automation architecture and components - Version control basics - DevOps culture, practices, and tools |
| Topic 3: Ansible Automation | 15% | - Ansible fundamentals and inventory files - Playbook creation and execution - Juniper Junos Ansible modules |
| Topic 4: XML, NETCONF, and REST API | 25% | - Junos REST API usage - NETCONF protocol and operations - XML syntax and concepts - XPath fundamentals |
| Topic 5: Data Serialization and YANG | 15% | - JSON and YAML formats - YANG data modeling overview |








