Free Practice Questions for the Juniper Automation and DevOps JN0-223 Exam (2026 Updated)

REST API requests can be made using various tools that support HTTP methods. Two common tools are:

cURL: A command-line tool that allows you to send HTTP requests, including GET, POST, PUT, and DELETE. It is widely used for testing and interacting with RESTful APIs due to its simplicity and flexibility.

Web Browser: Modern web browsers can be used to send HTTP GET requests directly by entering the URL into the address bar. Additionally, browser extensions like Postman or built-in developer tools can be used to construct and send more complex REST API requests.

Option B (NETCOfJF) is incorrect as it does not refer to a standard tool for making REST API requests.

Option D (SSH) is incorrect because SSH is a protocol used for secure remote login and command execution, not for sending REST API requests.

Supporting References:

cURL Documentation: Official cURL documentation provides extensive information on how to use cURL to interact with REST APIs.

Web Development and REST API Guides: Many web development resources and REST API documentation recommend using web browsers and tools like cURL for testing and interacting with APIs.

A. The Junos REST API client is on-box: The Junos REST API is on-box , meaning it is hosted directly on the Junos OS device. This allows you to interact with the device through RESTful API calls without needing an external client to act as an intermediary. With the on-box REST API, users can manage and automate configuration and operational tasks directly from the Junos device itself using HTTP/HTTPS protocols. This simplifies automation and remote management since the API server is embedded within the device.

Key Automation Capabilities of On-box REST API:

Supports configuration, monitoring, and operational commands.

Allows for direct device interaction via tools like curl, or through custom-built automation scripts.

QUESTION NO: 64

Which statement is correct about Ansible playbooks?

A. A playbook is a configuration file that defines the Ansible related parameters

B. A playbook contains one or more tasks written in XML

C. A playbook can contain multiple tasks and execute multiple Python modules

D. A playbook is a specific Python module that is executed on a host

Answer: C

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.

References:

NETCONF (Network Configuration Protocol) is used for network device management and can operate over SSH. The following are true about NETCONF:

Default Port 830 (B) : By default, NETCONF uses port 830 for communication over SSH. This is the standard port reserved for NETCONF sessions.

Use of Default SSH Port (D) : NETCONF can also operate over the standard SSH port (port 22) if configured to do so. This allows flexibility in network management scenarios where port 830 might not be available or used.

Options A and C are incorrect because they refer to incorrect or non-applicable port numbers for NETCONF.

IETF RFC 6241 : Specifies the use of NETCONF over SSH, including port details.

Juniper Networks NETCONF Documentation : Discusses the configuration and operation of NETCONF on Junos devices, including port usage.

References:

In Python, the == operator is used to test whether two variables are equal. It returns True if the variables are equal and False if they are not.

Option B (==) is correct because it is the equality operator in Python.

Option A (!=) is used for inequality, Option C (%) is the modulus operator, and Option D (=) is used for assignment, not for testing equality.

Supporting References:

Python Documentation on Operators: The official Python documentation covers the use of == for equality checks.

A commit script in Junos is used to enforce policies and configuration constraints on the device. These scripts are written in Extensible Stylesheet Language Transformations (XSLT) or Python and are executed automatically during the commit process of a configuration change.

In this context, to prevent the deletion of the SNMP configuration, a commit script is the appropriate choice. It can be designed to check the configuration changes being committed and reject any commit that attempts to delete or modify the SNMP configuration. This script essentially acts as a gatekeeper, ensuring that only allowable changes are committed to the device configuration.

Supporting References:

Juniper Networks Commit Scripts Documentation: The official Juniper documentation provides examples and use cases of commit scripts, including how they can be used to prevent unauthorized changes to the device configuration.

"Junos Automation Scripting" by Jonathan Looney: This resource gives practical examples and best practices for creating commit scripts to enforce configuration policies in Junos OS.

In XML documents, a namespace is the data construct used to ensure that element names and data values remain unique. Namespaces prevent naming conflicts by differentiating between elements or attributes that may have the same name but different meanings. This is particularly important in XML, where documents often incorporate elements from multiple sources.

XML Namespaces : A namespace is a collection of names, identified by a URI reference, which is used to distinguish between elements that may have identical names but different definitions or origins. This helps avoid ambiguity in the document.

How Namespaces Work : When a namespace is applied, each element or attribute in the XML document is associated with a prefix. This prefix, combined with the namespace URI, ensures that the element or attribute is uniquely identified, even if another element or attribute in the same document has the same local name but a different namespace.

Schema Definition vs. Namespace : Although an XML schema definition (XSD) can define the structure and type constraints of an XML document, it does not guarantee uniqueness of element names across different XML documents. That role is fulfilled by namespaces.

Practical Example :

Detailed Explanation: xml

Copy code

< root xmlns:ns1="http://www.example.com/ns1"

xmlns:ns2="http://www.example.com/ns2" >

< ns1:item > Item in namespace 1 < /ns1:item >

< ns2:item > Item in namespace 2 < /ns2:item >

< /root >

In this example, the item elements are in different namespaces ( ns1 and ns2 ), which keeps them unique even though they have the same name.

Juniper Automation and DevOps Documentation : These practices highlight the importance of namespaces in XML documents to maintain the integrity and uniqueness of data, which is essential in automation scripts and configuration files.

W3C XML Namespace Specification : The World Wide Web Consortium (W3C) standard for XML Namespaces defines how namespaces should be used to avoid name conflicts.

References: Namespaces are a crucial concept in XML, ensuring that data can be consistently managed and interpreted correctly, particularly in complex systems where multiple XML documents or schemas are involved.

Python lists have the following characteristics:

Modifiable Data (A) : Lists are mutable, meaning you can change, add, or remove elements after the list has been created.

Sequenced and Indexed (B) : Lists maintain the order of their elements and are indexed starting from 0. This means you can access elements by their position in the list.

Option C is incorrect because lists are mutable, allowing modifications. Option D is incorrect because lists are indeed sequenced and indexed, unlike dictionaries.

Python Official Documentation : Covers the properties of lists, including mutability and indexing.

Python Data Structures Guide : Explains list operations and how to manipulate them.

References:

In Python, to create a list, you use square brackets [] . The correct syntax to create a list containing the numbers 0 through 5 is:

L = [0, 1, 2, 3, 4, 5]

This statement creates a list object that stores the specified integers.

Other options are incorrect:

A defines a string, not a list.

B defines a set, which is an unordered collection with no duplicate elements.

D defines a tuple, which is an immutable sequence, not a list.

Python Official Documentation : Discusses lists, sets, tuples, and their syntaxes.

Python Data Structures Guide : Provides examples of creating and manipulating lists.

References:

https://www.juniper.net/documentation/us/en/software/junos/netconf/topics/topic-map/netconf-ssh-connection.html

The IANA-assigned port for NETCONF-over-SSH sessions is 830.

In JSON (JavaScript Object Notation), the two primary data structures are:

Objects: These are collections of key-value pairs, where each key is a string, and the value can be a string, number, array, boolean, or another object. In Python, this structure is analogous to a dictionary.

Arrays: These are ordered lists of values, where each value can be of any data type, including another array or object. In Python, this structure is similar to a list.

Option A (tuples) and Option D (dictionaries) refer to Python-specific data structures and are not directly used in JSON.

Supporting References:

JSON Documentation and Tutorials: JSON objects and arrays are the standard data structures used in this format, as described in many tutorials and the official JSON documentation.