200-901 Question 6
Single answerYou are developing a Python script to process configuration data provided by a network automation tool. The data is structured in JSON format, and you need to convert it into a Python dictionary for further processing. Which Python method should you use to achieve this?
- A
json.loads()
- B
json.dumps()
- C
yaml.safe_load()
- D
xml.etree.ElementTree.parse()
Show answer and explanation
Correct answer: A
Explanation
In this scenario, JSON data needs to be converted into a Python dictionary for further processing. The json.loads() method is specifically designed for this purpose, as it takes a JSON-formatted string and converts it into a Python object, such as a dictionary or list. Other methods mentioned, like json.dumps(), yaml.safe_load(), and xml.etree.ElementTree.parse(), are used for different purposes and formats, making them incorrect for this task.
- A. Correct.
This is the correct method to convert a JSON-formatted string into a Python dictionary. The
json.loads()function parses the JSON string and produces a Python object. - B. Incorrect.
This method is used to convert a Python object into a JSON-formatted string, which is the opposite operation of what is required in this scenario.
- C. Incorrect.
This method is used to parse YAML data into Python objects, not JSON data. While it is useful for YAML, it is not applicable to JSON.
- D. Incorrect.
This method is used to parse XML data into an ElementTree object, which is unrelated to JSON parsing.