Supported Data Structures (JSON, YAML, Jinja2) JN0-750 Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A network engineer is writing a Python script to automate Mist WLAN provisioning. The script needs to send a request body to the Mist API that contains a list of WLANs, where each WLAN has a name, an SSID, and a list of VLAN IDs. The engineer wants to construct the payload as a native Python data structure and then serialize it for the HTTP request. Which approach correctly produces the required JSON payload?

   • AUse json.loads() on a manually formatted JSON string to create the payload.
   • BBuild a Python list of dictionaries, then call json.dumps() on it.
   • CBuild a Python dictionary with integer keys, then call json.dumps() on it.
   • DCreate a YAML string with a list of mappings, then send it directly as the request body.
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2. 2foundation · easy

   In a Jinja2 template, which delimiter is used to output the value of a variable?

   • A{{ ... }}
   • B{%- ... -%}
   • C{% ... %}
   • D{# ... #}
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4. 3foundation · medium

   A Mist automation engineer has a YAML file containing site configuration data and needs to convert it to JSON for use in a REST API call. Which statement accurately describes the conversion process?

   • AYAML is a superset of JSON, so any valid JSON document is also valid YAML, but converting YAML to JSON requires parsing the YAML and serializing the resulting data structure as JSON.
   • BThe conversion is lossless only if the YAML file uses block style; flow-style YAML cannot be converted to JSON without losing data.
   • CConverting YAML to JSON is only possible if the YAML file contains no comments or anchors, because JSON does not support these features.
   • DYAML and JSON are interchangeable formats, so a YAML file can be directly used as a JSON payload without any conversion.
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5. 4foundation · easy

   What is the primary purpose of using a Jinja2 template in Mist automation?

   • ATo store configuration data in a human-readable format
   • BTo encrypt sensitive data in configuration files
   • CTo generate dynamic configuration files by combining a static template with variable data
   • DTo validate the syntax of JSON payloads
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6. 5application · medium

   A Mist administrator maintains a set of configuration templates for different customer sites. The templates are stored as YAML files because they are easier for the team to read and edit by hand. Before deploying, the automation pipeline must convert these YAML files into a format that can be used as the body of a Mist API call. Which tool or method should the pipeline use to perform this conversion?

   • AUse a Jinja2 template to render the YAML file into a JSON string.
   • BUse a JSON parser to load the file directly, then use yaml.dump() to serialize it.
   • CUse a YAML parser to load the file into a Python dictionary, then use json.dumps() to serialize it.
   • DRename the file extension from .yaml to .json and send it directly.
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