2. Describe Parsing of Common Data Format (XML, JSON, and YAML) to Python Data Structures 200-901 Practice Questions (Page 4)

Questions 16–20

1. 16application · medium

   A Python script reads a JSON file that contains a top-level object with a key 'vlans' whose value is an array of VLAN objects. Each VLAN object has 'id' and 'name'. The script must create a dictionary mapping VLAN ID to VLAN name. Which code snippet correctly builds this mapping?

   • A{vlan['name']: vlan['id'] for vlan in data['vlans']}
   • B{vlan['id']: vlan['name'] for vlan in data['vlans']}
   • Cfor vlan in data: mapping[vlan['id']] = vlan['name']
   • Ddict(zip(data['vlans'], data['vlans']))
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   A network device exports its configuration as an XML document. A Python script must extract the value of the 'name' attribute from every 'interface' element. Which approach using xml.etree.ElementTree is appropriate?

   • AUse root.findall('.//name') and then access .get('interface')
   • BUse root.find('interface') and then access .attrib['name']
   • CUse root.findall('.//interface') and then access .get('name') on each element
   • DUse root.iter('name') and then access .text
   Reveal Solution Discussion Select an answer first
4. 18application · medium

   A network automation script receives a REST API response from a controller. The response body is a JSON string with nested objects and arrays. The script must convert this string into a Python dictionary so that the script can access the value of a nested key. Which Python code snippet correctly performs this conversion?

   • Adata = response_body.json()
   • Bdata = json.load(response_body)
   • Cdata = json.loads(response_body)
   • Ddata = json.dumps(response_body)
   Reveal Solution Discussion Select an answer first
5. 19application · medium

   A Python script uses yaml.safe_load() to read a configuration file. The YAML contains a key 'mtu' with value 1500. What Python type will the value 1500 be?

   • Aint
   • Bfloat
   • Cstr
   • Dbool
   Reveal Solution Discussion Select an answer first
6. 20expert · hard

   A Python script must parse a configuration file that may be either JSON or YAML. The script should automatically detect the format and parse accordingly. Which approach is most robust?

   • ACheck the file extension to decide the parser
   • BAlways use yaml.safe_load() because YAML can parse JSON
   • CTry json.loads() first; if it raises an exception, fall back to yaml.safe_load()
   • DUse a custom parser that handles both formats simultaneously
   Reveal Solution Discussion Select an answer first