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Juniper JN0-223, also known as the Automation and DevOps Associate (JNCIA-DevOps), is a certification exam for IT professionals who want to develop knowledge and skills in automation and DevOps. JN0-223 Exam is designed to test the knowledge and skills required to develop, test, deploy, and monitor automation solutions using Juniper Networks' platforms and tools.
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Passing the Juniper JN0-223 Exam demonstrates that the candidate has a solid understanding of automation and DevOps practices and their application in a network infrastructure. Automation and DevOps, Associate (JNCIA-DevOps) certification helps IT professionals to stay up-to-date with the latest trends in the industry and enhances their skills in automation and DevOps practices. Automation and DevOps, Associate (JNCIA-DevOps) certification also improves the candidate's job prospects and opens up various career opportunities, including network automation engineer, network automation architect, DevOps engineer, and more.
NEW QUESTION # 31
You are asked to develop a PyEZ application that will connect to multiple Junos devices using the XML API and perform an asset inventory. Which standards-based protocol should you use to perform this
Answer: D
NEW QUESTION # 32
Which statement about the NETCONF content layer is true?
Answer: D
Explanation:
The NETCONF protocol, used for network management, utilizes XML for encoding the RPC (Remote Procedure Call) requests and responses. XML is chosen because of its flexibility and ability to represent hierarchical data structures, making it well-suited for representing network configurations and states.
Option B is correct because XML is the standard format used for NETCONF RPC payloads.
Options A (YAML), C (JSON), and D (HTML) are incorrect because these formats are not used by NETCONF for its RPC payloads.
Supporting Reference:
RFC 6241 - NETCONF Protocol: This RFC describes the use of XML for encoding NETCONF messages.
NEW QUESTION # 33
Which two PyEZ object methods are included by default when using a Python context manager? (Choose two.)
Answer: C,D
Explanation:
When using a Python context manager with Junos PyEZ, two key methods are automatically included:
open() and close(): These methods are used to establish and terminate a connection to a Junos device. When you use a context manager (the with statement), open() is called when entering the block, and close() is called when exiting, ensuring the connection is properly managed.
lock() and unlock(): These methods are used to lock the configuration database to prevent other users from making changes while you are working on it. When using a context manager, lock() is called at the start of the block, and unlock() is called at the end, ensuring safe configuration changes.
Supporting Reference:
Junos PyEZ Documentation: The documentation explains how context managers work in PyEZ, including the automatic invocation of open(), close(), lock(), and unlock() methods.
NEW QUESTION # 34
Which statement is valid regarding YAML and JSON?
Answer: D
Explanation:
Both YAML and JSON are case-sensitive, meaning that the distinction between uppercase and lowercase characters matters. For example, in JSON or YAML,Keyandkeywould be considered different.
* Option D (case-sensitive)is correct because both YAML and JSON treat keys and values with different cases as distinct.
* Option Ais incorrect because, while JSON does not use indentation, YAML does rely on indentation to define structure.Option Bis incorrect because whitespace can be significant in YAML for structure, and Option Cis incorrect because JSON does not support comments, while YAML does.
Supporting References:
* YAML and JSON Documentation:The official specifications for both YAML and JSON emphasize their case sensitivity.
NEW QUESTION # 35
Junos PyEZ tables are formatted using which file type?
Answer: D
Explanation:
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.
NEW QUESTION # 36
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