JNCIA-DevOps Data Serialization Practice Question
An automation engineer is writing a Python script that takes a complex nested Python dictionary containing Junos telemetry parameters and converts it into a YAML string. Which PyYAML function should be used?
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
✓
yaml.safe_dump()
yaml.safe_dump() converts a Python object into a YAML-formatted string safely, avoiding the security risks associated with the base yaml.dump().
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
yaml.export()
Why it's wrong here
Incorrect. export is not a PyYAML serialization method.
- ✗
yaml.serialize_string()
Why it's wrong here
Incorrect. serialize_string is not a function in PyYAML.
- ✗
yaml.to_yaml()
Why it's wrong here
Incorrect. to_yaml is a method sometimes implemented on custom classes, not a global PyYAML function.
- ✓
yaml.safe_dump()
Why this is correct
Correct. yaml.safe_dump() serializes a Python object into a safe YAML representation.
About these practice questions
Courseiva writes every JNCIA-DevOps question from scratch — 307 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or 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.