Sample questions
Juniper Networks Automation and DevOps, Associate (JNCIA-DevOps, JN0-224) (JNCIA-DevOps) practice questions
An automation engineer is reviewing data serialization formats used within Junos automation workflows. Which TWO statements are correct regarding JSON syntax and data types? (Choos…
An engineer writes a Python script that loads a JSON configuration file using the json.load() method. The file contains configuration parameters for a Junos device. If the JSON fil…
An automation engineer is troubleshooting a Junos REST API script that intermittently fails with HTTP 401 Unauthorized errors when retrieving operational data. The script uses HTTP…
A Python automation script parses a Junos telemetry stream in JSON. The JSON payload uses integer keys in a dictionary (e.g., {443: 'HTTPS'}). When loaded into Python using json.lo…
A Python script using PyEZ loads a configuration from a file and commits it on a Junos device. The commit fails with a `CommitError` exception. You need to retrieve the specific er…
When designing an automation workflow that uses the Junos REST API for configuration management, which THREE practices ensure robust execution? (Choose three)
You are writing a Python script that converts a Junos operational state output from XML (via NETCONF) into JSON. The XML structure contains sibling elements with the same tag name.…
An automation engineer wants to log structured data from a Junos device automation run. The Python script formats a dictionary into a JSON string and prints it. However, the engine…
Which data serialization formats are natively supported by the Junos REST API for both input and output payloads?
An engineer needs to represent an ordered list of IP addresses in a YAML configuration file for a Junos automation playbook. Which valid YAML syntax correctly defines a sequence of…
What is the primary benefit of using structured data formats (such as XML, JSON, or YAML) over unstructured CLI text output in Junos automation?
Junos Automation Stack And DevOps ConceptseasySee the answer and why each option is right or wrong →You are using the PyEZ SW utility to install a new Junos image on a device. Which method parameter allows the script to automatically reboot the device after a successful installat…
You are developing a Python script using PyEZ to load a configuration onto a Junos device. You need to ensure that the configuration is merged with the existing candidate configura…
What is the primary benefit of decoupling network configuration data (YAML/JSON) from presentation templates (Jinja2) in network automation?
Junos Automation Stack And DevOps ConceptsmediumSee the answer and why each option is right or wrong →An engineer needs to retrieve the entire candidate configuration in JSON format from a Junos device using the Junos REST API. Which HTTP header must be included in the GET request…
An automation script reads a configuration template where boolean values are represented as 'yes' and 'no' in YAML. When parsed using PyYAML in Python, how are these values interpr…
Which Junos automation toolset relies heavily on XML over NETCONF and provides robust Python libraries tailored specifically for Junos network devices?
Junos Automation Stack And DevOps ConceptseasySee the answer and why each option is right or wrong →When writing an automation script that converts data formats between YAML and JSON for Junos configuration pipelines, which THREE potential pitfalls should an engineer account for?…
An automation engineer wants to retrieve information about all software packages installed on a Junos device using the REST API. Which operational RPC endpoint category is typicall…
Which TWO data serialization formats can an automation engineer request using the 'Accept' header in a Junos REST API GET request? (Choose two)
Which TWO characteristics distinguish the Junos REST API from NETCONF when interacting with Junos devices? (Choose two)
You want to run a JSNAPy verification test via Python code. Which Python class should you import and instantiate to execute the snapshot comparison programmatically?
When developing Python scripts that utilize PyEZ and Jinja2, which THREE best practices ensure robust and maintainable automation code? (Choose three)
What is the primary benefit of using PyEZ Table and View abstractions over raw RPC XML parsing in Python scripts?