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| Section | Objectives |
|---|---|
| Advanced Object-Oriented Programming | - Metaprogramming basics
|
| Network Programming and Communication | - Web communication basics
|
| GUI Programming | - Tkinter fundamentals
|
| Python Standard Library and Best Practices | - Testing and debugging
|
>> Python Institute PCPP-32-101 Exam Duration <<
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NEW QUESTION # 48
In the JSON processing context, the term serialization:
Answer: A
Explanation:
In the JSON processing context, the term serialization: A. names a process in which Python data is turned into a JSON string.
Serialization refers to the process of converting a data object, such as a Python object, into a format that can be easily transferred over a network or stored in a file. In the case of JSON, serialization refers to converting Python data into a string representation using the JSON format. This string can be sent over a network or stored as a file, and later deserialized back into the original Python data object.
Reference: Official Python documentation on json: https://docs.python.org/3/library/json.html#json- serialization
NEW QUESTION # 49
Select the true statements about the json.-dumps () function. (Select two answers.)
Answer: A,C
Explanation:
Explanation
The json.dumps() function is used to convert a Python object into a JSON string 1. It takes Python data as its argument, such as a dictionary or a list, and returns a JSON string.
NEW QUESTION # 50
Select the true statements about the json.-dumps () function. (Select two answers.)
Answer: A,C
Explanation:
The json.dumps() function is used to convert a Python object into a JSON string 1 . It takes Python data as its argument, such as a dictionary or a list, and returns a JSON string.
Reference: Official Python documentation on json.dumps(): https://docs.python.org/3/library/json.html#json.
dumps
A). It returns a JSON string.
This statement is true because the json.dumps () function takes a Python object as its argument and returns a JSON-formatted string that represents the object. For example, json.dumps ([1, 2, 3]) returns '[1, 2, 3] '.
D). It takes Python data as its argument.
This statement is true because the json.dumps () function accepts any Python object that can be serialized into JSON, such as lists, dictionaries, strings, numbers, booleans, or None. For example, json.dumps ({"name":
"Alice", "age": 25}) returns '{"name": "Alice", "age": 25}'.
NEW QUESTION # 51
The following JSON string:
{ 1 }
Answer: A
Explanation:
The correct answer is A because { 1 } is not valid JSON syntax. In JSON, curly braces represent an object, but an object must contain name-value pairs. Property names must be strings enclosed in double quotation marks, followed by a colon and a value, such as {"id": 1}. The expression { 1 } contains a numeric value inside braces without a property name or colon, so it cannot be parsed as a JSON object. It is also not an array, because JSON arrays use square brackets, such as [1]. It is not an integer either, because the braces change the syntax. Therefore, this JSON string is erroneous.
NEW QUESTION # 52
Look at the following code snippets and decide which ones follow PEP 8 recommendations for whitespaces in expressions and statements (Select two answers.) A) No whitespace immediately before the opening parenthesis that starts the list of arguments of a function call:
B)
A whitespace immediately before a comma, semicolon, and colon:
C)
No whitespace between a trailing comma and a following closing parenthesis:
D)
A whitespace immediately after the opening parenthesis that starts indexing or slicing:
Answer: B,D
Explanation:
Option A is true because PEP 8 recommends avoiding extraneous whitespace immediately inside parentheses, brackets or braces 1 .
Option C is true because PEP 8 recommends avoiding extraneous whitespace between a trailing comma and a following close parenthesis 1 .
NEW QUESTION # 53
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