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300-435 · Question #93

Given the following rpc-reply data structure, which Python expression correctly parses this data into py_dict? <rpc-reply message-id="urn:uuid:5842f8f1-f911-483c-839d-2bda5cf486cb"…

The correct answer is A. py_dict = xmitodict.parse(example). The provided rpc-reply is an XML data structure, which requires a specific library like xmitodict to correctly parse it into a Python dictionary.

Device-Level Network Automation

Question

Given the following rpc-reply data structure, which Python expression correctly parses this data into py_dict? <rpc-reply message-id="urn:uuid:5842f8f1-f911-483c-839d-2bda5cf486cb" xmlns="urn:ietf:params:xml:ns:netconf:base:1.0"> <data> <interfaces xmlns="urn:ietf:params:xml:ns:yang:ietf-interfaces"> <interface> <name>GigabitEthernet1/0/0</name> <description>DO NOT TOUCH ME!</description> <type xmlns:ianaift="urn:ietf:params:xml:ns:yang:iana-if-type">ianaift:ethernetCsmacd</type> <enabled>false</enabled> <ipv4 xmlns="urn:ietf:params:xml:ns:yang:ietf-ip"> <address> <ip>10.18.26.40</ip> <netmask>255.255.255.0</netmask> </address> </ipv4> </interface> <interface> <name>GigabitEthernet1/0/1</name> <ipv4 xmlns="urn:ietf:params:xml:ns:yang:ietf-ip"/> </interface> </interfaces> </data> </rpc-reply>

Options

  • Apy_dict = xmitodict.parse(example)
  • Bpy_dict = csv.read(example)
  • Cpy_dict = json.loads(example)
  • Dpy_dict = yaml.load(example)

How the community answered

(54 responses)
  • A
    93% (50)
  • B
    2% (1)
  • C
    2% (1)
  • D
    4% (2)

Why each option

The provided `rpc-reply` is an XML data structure, which requires a specific library like `xmitodict` to correctly parse it into a Python dictionary.

Apy_dict = xmitodict.parse(example)Correct

The 'xmitodict' library in Python is specifically designed to parse XML data, including complex structures with namespaces like the 'rpc-reply' shown, and convert them into Python dictionaries, making it the appropriate tool for this task. It handles XML parsing and mapping to dictionary keys and values efficiently.

Bpy_dict = csv.read(example)

The 'csv.read()' function is used for parsing Comma Separated Values (CSV) files, which is not the format of the provided XML data.

Cpy_dict = json.loads(example)

'json.loads()' is used for parsing JSON (JavaScript Object Notation) strings, which is a different data format than the provided XML.

Dpy_dict = yaml.load(example)

'yaml.load()' is used for parsing YAML (YAML Ain't Markup Language) data, which is another distinct data serialization format, not XML.

Concept tested: Parsing XML data in Python

Source: https://pypi.org/project/xmitodict/

Topics

#XML parsing#Python libraries#NETCONF#Data formats

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