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| Vendor: | Juniper |
|---|---|
| Exam Code: | JN0-224 |
| Exam Name: | Automation and DevOps, Associate |
| Exam Questions: | 66 |
| Last Updated: | December 12, 2025 |
| Related Certifications: | Juniper Automation and DevOps Certification |
| Exam Tags: |
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Which statement is correct about DevOps?
DevOps is a set of practices, tools, and cultural philosophies that aims to integrate and automate the processes between software development and IT operations teams. The primary goal of DevOps is to shorten the systems development life cycle and provide continuous delivery with high software quality.
Option C is correct because DevOps fundamentally focuses on breaking down the silos between development and operations teams, fostering a collaborative environment where these teams work together throughout the entire software lifecycle. This collaboration extends to other stakeholders, including quality assurance (QA), security, and more, to ensure that the product is continuously delivered and improved based on real-time feedback.
DevOps promotes a cultural shift where teams are no longer isolated but work together to share responsibilities, which leads to increased efficiency, faster problem resolution, and a more streamlined deployment process. This culture of collaboration is supported by various automation tools and practices such as Continuous Integration (CI), Continuous Deployment (CD), Infrastructure as Code (IaC), and automated testing.
Supporting Reference:
Juniper Networks Automation and DevOps Documentation: This documentation emphasizes the importance of collaboration between development and operations teams to streamline processes and improve efficiency, aligning perfectly with the principles of DevOps.
'The DevOps Handbook' by Gene Kim, Patrick Debois, John Willis, and Jez Humble: This book provides an in-depth look into how DevOps practices enhance collaboration and lead to faster, more reliable software delivery.
IEEE and Industry Standards: While DevOps practices are widely adopted, they are not defined or maintained by IEEE or any other formal standards body, which is why option D is incorrect.
Which two statements about NETCONF are true? (Choose two.)
NETCONF (Network Configuration Protocol) operates through different layers, with the operations layer being particularly important for managing configurations:
Operations Layer (A & D): This layer is responsible for actions like locking and committing the configuration on a Junos device. The lock operation prevents other sessions from modifying the configuration, and the commit operation applies the configuration changes to the device.
Options B and C are incorrect because the messages layer handles the communication aspects, such as exchanging data between the client and server, not performing configuration operations like locking and committing.
IETF RFC 6241 (NETCONF): Describes the protocol layers and their functions, with a focus on the operations layer.
Juniper Networks NETCONF Documentation: Provides insights into how NETCONF operations are managed in Junos
Which data construct is used to guarantee that element names and data values remain unique in an XML document?
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.
Detailed Explanation:
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:
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.
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.
Junos supports which two APIs for on-box scripting? (Choose two.)
Juniper Networks' Junos operating system supports several APIs for on-box scripting, two of which are:
JET (Juniper Extension Toolkit): JET is a modern API framework that provides a programmable interface for interacting with Junos. It allows developers to create custom applications that run directly on Junos devices, enabling the automation of network operations. JET provides both a gRPC and a REST API interface, allowing for flexible integration with external systems.
XML API: The Junos XML API allows direct interaction with the Junos OS through XML-based requests. This API can be used to retrieve information, configure devices, and execute commands on Junos devices. The XML API is crucial for automation tasks as it provides a structured and consistent way to interact with the device's configuration and operational data.
Detailed Explanation:
JET (A) provides high-performance access to Junos routing, switching, and service elements via programmable interfaces. It is highly used for creating custom applications that require tight integration with the Junos OS.
XML (C), on the other hand, is a well-established method for interacting with Junos, especially for legacy systems or when working within environments where XML is the standard data format.
Other options like Puppet (B) and Chef (D) are not APIs provided by Junos for on-box scripting but are configuration management tools used externally to manage Junos devices.
Juniper Networks JET Documentation: Provides details on how to leverage JET APIs for automation.
Junos XML Management Protocol Guide: Describes how to use XML for scripting and automating tasks in Junos.
These APIs are key components of Juniper's automation strategy, allowing for scalable, flexible, and efficient network operations.
What is the difference between a list and a tuple in Python?
In Python, the distinction between lists and tuples is essential for efficient programming:
Lists:
Mutable (B): This means that once a list is created, its elements can be changed, added, or removed. Lists are versatile and commonly used when the data is expected to change.
Square Brackets: Lists are defined using square brackets [].
Example:
my_list = [1, 2, 3]
my_list[0] = 10 # Modifying the first element
Tuples:
Immutable (B): Once a tuple is created, it cannot be altered. Tuples are used when a fixed collection of items is needed, providing more integrity to the data.
Parentheses: Tuples are defined using parentheses ().
Example:
my_tuple = (1, 2, 3)
# my_tuple[0] = 10 # This would raise an error because tuples are immutable
Python Official Documentation: The Python Language Reference provides detailed information on data types like lists and tuples, including their mutability and syntax.
Automation Scripts: In the context of automation, understanding when to use mutable or immutable data structures can significantly impact script performance and reliability.
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