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JNCIA-DevOps Python And PyEZ Practice Question

When executing a PyEZ RPC call that returns a large dataset (e.g., massive routing table), how can you handle the output efficiently without exhausting local memory?

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

Using parser generators or iterator arguments supported by specific RPC wrappers

Using generators or streaming options in RPC handling prevents loading massive XML trees entirely into memory.

Answer analysis

Option-by-option breakdown

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

  • etree.iterparse() directly on the raw socket stream

    Why it's wrong here

    Incorrect. PyEZ abstracts the socket layer, making direct socket iteration unfeasible.

  • Using parser generators or iterator arguments supported by specific RPC wrappers

    Why this is correct

    Correct. PyEZ allows using iterators or chunked parsing options for large operational datasets.

  • dev.rpc.get_route_information(normalize=True)

    Why it's wrong here

    Incorrect. Normalization does not handle streaming.

  • dev.stream_rpc()

    Why it's wrong here

    Incorrect. stream_rpc is not a standard method.

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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.