20+ practice questions focused on Junos Automation Stack And DevOps Concepts — one of the most tested topics on the Juniper Networks Automation and DevOps, Associate (JNCIA-DevOps, JN0-224) (JNCIA-DevOps) exam. Each question includes a detailed explanation so you learn why the right answer is correct.
Start Junos Automation Stack And DevOps Concepts PracticeWhich Junos automation architecture component provides standardized, model-driven interfaces using NETCONF and gRPC/gNMI to manage and monitor Junos devices?
Explanation: Junos API and data modeling components like NETCONF and gRPC provide structured, programmatic access to the Junos control plane.
An automation script connects to a Junos device and attempts to load a candidate configuration using NETCONF. The script needs to ensure that if any part of the configuration fails validation, the entire transaction is discarded and the candidate database is left untouched. Which NETCONF capability or tag should be utilized?
Explanation: NETCONF supports robust transaction handling, ensuring that configuration changes are validated as a block and rolled back on error.
Which Junos automation tool utilizes NETCONF over SSH by default to manage network devices using Python libraries or configuration management frameworks?
Explanation: Ansible, PyEZ, and NETCONF clients communicate with Junos using NETCONF over SSH by default.
An enterprise uses Git for tracking Junos configurations. An engineer wants to see the exact line-by-line history of changes made to a specific routing policy file over the past month, including who made each change. Which Git command should they use?
Explanation: 'git blame' shows what revision and author last modified each line of a file, while 'git log' shows commit history.
An automation pipeline tests Junos configuration changes against a virtual Junos device (such as vSRX or cRPD) in a CI environment before deploying to physical hardware. What is this practice called?
Explanation: Testing against virtualized network functions in a staging or CI environment is known as lab validation or digital twinning/staging.
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