JNCIA-DevOps Data Serialization Practice Question
A Python script reads a Junos configuration snippet stored in YAML. The configuration uses YAML anchors and aliases to duplicate common routing policy definitions across multiple VRFs. When the script parses the file using yaml.safe_load(), what happens to the anchors and aliases?
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
✓
The parser resolves the anchors and populates the resulting Python dictionary with the referenced data.
yaml.safe_load() fully supports YAML anchors (&) and aliases (*) by default, dereferencing them into identical Python data structures in 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.
- ✗
The parser raises a ScannerError because anchors are prohibited in safe mode.
Why it's wrong here
Incorrect. Anchors and aliases are standard YAML features fully supported by yaml.safe_load().
- ✓
The parser resolves the anchors and populates the resulting Python dictionary with the referenced data.
Why this is correct
Correct. yaml.safe_load() resolves anchors and aliases automatically during parsing.
- ✗
The aliases are ignored, resulting in empty values for those configuration blocks.
Why it's wrong here
Incorrect. Aliases are resolved, not ignored.
- ✗
The parser treats the anchor syntax as literal string data.
Why it's wrong here
Incorrect. The parser interprets them according to the YAML specification.
About these practice questions
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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.