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Juniper JN0-223 Exam Questions
- Topic 1: Junos Automation Stack and DevOps Concepts: This section is about the core concepts and general features associated with Junos Platform automation and DevOps practices.
- Topic 2: NETCONF/XML API: This section is about how to become well-versed in the core concepts and functionalities related to XML, the XML API, XPath, and the Network Configuration Protocol (NETCONF).
- Topic 3: Data Serialization: This section is about how to understand the principles, advantages, and operations of data serialization. This encompasses key formats like YAML and JavaScript Object Notation (JSON), etc.
- Topic 4: Python/PyEZ: This section is about how to know Python and PyEZ tools designed for automating Junos OS devices and networks. This includes learning Python syntax and core concepts, using Junos Snapshot Administrator (JSNAPy) for managing configurations, and leveraging Jinja2.
- Topic 5: Rest API: This section covers the concepts, benefits, and functions of the Junos REST API. This involves understanding the Junos REST API's capabilities and its Explorer tool, as well as how to utilize Client URL (cURL) for interacting with the API.
Free Juniper JN0-223 Exam Actual Questions
Note: Premium Questions for JN0-223 were last updated On Jul. 30, 2025 (see below)
Which two statements are valid regarding Junos automation? (Choose two.)
In Junos automation, several processes handle API requests, and understanding which process handles what is crucial:
jsd Process:
XML API Calls (A): The jsd process is responsible for handling XML API calls, which are a significant part of Junos automation. XML API allows for structured and standardized communication with Junos devices, enabling automation scripts to query and configure devices.
JET API Requests (C): The jsd process also handles JET (Junos Extension Toolkit) API requests. JET provides a more modern, programmable interface for interacting with Junos OS, and jsd is the process that manages these interactions.
mgd Process (Incorrect Option):
Not for JET API Requests: The mgd process handles general management operations, such as CLI commands and managing the configuration database, but it does not handle JET API requests. That role is fulfilled by jsd.
mod Process (Incorrect Option):
Not for XML API Calls: The mod process deals with managing chassis components and is not involved in handling XML API calls.
Juniper Networks JET and XML API Documentation: Describes the roles of jsd in handling both XML and JET API requests.
Junos Automation and DevOps Documentation: Provides insights into how different processes interact with Junos APIs.
Junos PyEZ tables are formatted using which file type?
Junos PyEZ uses YAML (YAML Ain't Markup Language) files to define the format for tables and views when working with operational and configuration data. YAML is a human-readable data format that is commonly used for configuration files, making it suitable for defining data structures in PyEZ.
Option B (YAML) is correct because PyEZ tables are defined using YAML files.
Options A (JSON), C (txt), and D (IXML) are incorrect in this context, as YAML is the standard format used.
Supporting Reference:
Junos PyEZ Tables Documentation: Explains the use of YAML files for formatting tables and views in Junos PyEZ.
Which feature is used in XML to ensure that all attributes and elements have unique names?
YAML uses which two data structures? (Choose two.)
YAML (YAML Ain't Markup Language) primarily uses two data structures:
Mappings: These are key-value pairs, similar to dictionaries or hashes in programming languages. In YAML, mappings are used to represent associative arrays or objects. They are defined with a colon (:) separating the key from the value.
Example:
key: value
name: John Doe
Sequences: These are ordered lists of items, equivalent to arrays or lists in other programming languages. Sequences in YAML are denoted by a dash (-) followed by a space and then the item.
Example:
fruits:
- Apple
- Banana
- Cherry
Detailed Explanation:
Mappings (B) allow you to define relationships between keys and values, making it possible to represent more complex data structures like dictionaries or objects.
Sequences (C) allow you to represent ordered collections, which is important for listing elements that must maintain a specific order.
YAML is often used in configuration files and data serialization in DevOps environments, such as in Ansible playbooks, Kubernetes manifest files, and CI/CD pipeline definitions. Its simplicity and human-readable format make it a popular choice for these applications.
YAML Official Documentation: YAML's specification outlines these core data structures.
Juniper Automation and DevOps Documentation: Provides best practices for using YAML in network automation scripts and configuration management.
You want to perform a dry run on the myPlays playbook and use a custom inventory file called myRouters.ini.
Which Ansible command would you use in this scenario?
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