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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 JSON structure for easier manipulation in a web application. Which built-in Python module is primarily used to handle JSON data serialization and deserialization?

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

json

The 'json' module is the standard built-in Python library used for parsing, serializing, and deserializing JSON data.

Answer analysis

Option-by-option breakdown

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

  • json

    Why this is correct

    The json module provides methods like dump(), dumps(), load(), and loads() for handling JSON data.

  • pickle

    Why it's wrong here

    pickle is used for serializing Python objects into byte streams, not standard JSON text format.

  • yaml

    Why it's wrong here

    yaml is a third-party library (PyYAML) used for YAML serialization, not JSON.

  • xml.etree

    Why it's wrong here

    xml.etree is used for processing XML data, not JSON.

About these practice questions

One of 307 original JNCIA-DevOps practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →

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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.