JNCIA-DevOps Data Serialization Practice Question
A Python script receives a JSON payload from a Junos device containing 64-bit interface counter integers. When loaded using the standard 'json' module, the script experiences precision loss on counter values exceeding standard integer limits. Which alternative JSON parser package for Python should be used to handle high-precision integers without data degradation?
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
✓
simplejson with use_decimal=True
The 'ujson' (UltraJSON) or 'simplejson' libraries provide options like parse_float or parse_int to handle high-precision numbers. Specifically, simplejson supports a 'use_decimal=True' parameter to decode JSON numbers into Python Decimal objects.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
simplejson with use_decimal=True
Why this is correct
Correct. simplejson supports parsing numbers into Python Decimal objects to prevent precision loss.
- ✗
corejson
Why it's wrong here
Incorrect. corejson is not a standard Python JSON processing library.
- ✗
xmljson
Why it's wrong here
Incorrect. xmljson is designed for converting XML to JSON/Dict structures, not high-precision JSON parsing.
- ✗
fastjson
Why it's wrong here
Incorrect. fastjson does not natively offer decimal precision parsing for Python.
About these practice questions
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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.