JNCIA-DevOps Python And PyEZ Practice Question
When writing a Python script that connects to multiple Junos devices concurrently using PyEZ, which Python module is commonly used to manage thread pooling and parallel execution?
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
✓
concurrent.futures
Concurrent futures or threading modules handle parallel execution in Python.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
jnpr.junos.parallel
Why it's wrong here
Incorrect. PyEZ does not have a built-in parallel execution module.
- ✗
multiprocessing.device
Why it's wrong here
Incorrect. This module does not exist.
- ✗
asyncio.netconf
Why it's wrong here
Incorrect. asyncio.netconf is not a standard Python module.
- ✓
concurrent.futures
Why this is correct
Correct. concurrent.futures provides high-level APIs for executing tasks asynchronously using threads or processes.
About these practice questions
This JNCIA-DevOps question is part of Courseiva's 307-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
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.