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Data SerializationeasyMultiple ChoiceObjective-mapped

JNCIA-DevOps Data Serialization Practice Question

An automation engineer is writing a Python script to parse a Juniper Junos NETCONF reply received in XML format and needs to convert it into a native Python dictionary for internal processing. Which built-in library should the engineer use to convert the structured XML tree?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

xml.etree.ElementTree

xml.etree.ElementTree is a standard Python library used for parsing and navigating XML data structures. While JSON and YAML are common serialization formats, NETCONF protocol responses natively return XML, which must be parsed before data manipulation.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • xml.etree.ElementTree

    Why this is correct

    Correct. xml.etree.ElementTree provides functions to parse XML strings and files into hierarchical tree structures.

  • pickle

    Why it's wrong here

    Incorrect. Pickle serializes and deserializes Python object structures into binary bytes, not XML.

  • yaml

    Why it's wrong here

    Incorrect. The yaml module (PyYAML) processes YAML formatted data.

  • json

    Why it's wrong here

    Incorrect. The json module is used for encoding and decoding JSON objects, not XML.

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JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed August 2026 · checked against the official Juniper Networks exam blueprint

This JNCIA-DevOps practice question is part of Courseiva's free Juniper Networks certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the JNCIA-DevOps exam.