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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Network Programming | 18% | - TCP/IP & Socket Programming - JSON/XML Data Exchange - HTTP & Client-Server Communication - REST API Basics |
| Topic 2: Advanced Object-Oriented Programming | 25% | - Advanced Exceptions & Exception Chaining - Shallow vs Deep Copy & Serialization - Attribute Access & Descriptors - Metaclasses & Metaprogramming - Multiple Inheritance & Mixins - Abstract Base Classes - Design Patterns |
| Topic 3: File & Data Processing | 15% | - CSV & Configuration Files - SQLite3 Database Operations - XML & JSON Parsing - Logging & System Interaction |
| Topic 4: GUI Programming | 20% | - Dialogs & Application Structure - Event Handling & Callbacks - Tkinter Basics & Widgets - Event-Driven Paradigm |
| Topic 5: Coding Conventions, Best Practices & Standardization | 12% | - PEP 1, PEP 8, PEP 20, PEP 257 - Pythonic Principles - Code Readability & Documentation |
| Topic 6: Modules, Packages & Advanced Features | 10% | - Functional Programming Tools - Decorators & Context Managers - Import System & Namespaces |
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NEW QUESTION # 57
Select the true statements about the json.-dumps () function. (Select two answers.)
Answer: B,D
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 # 58
Analyze the following snippet and select the statement that best describes it.
Answer: B
Explanation:
Explanation
The provided code snippet defines a function f1 that accepts variable-length arguments using the *args and **kwargs syntax. The *args parameter allows for an arbitrary number of unnamed arguments to be passed to the function as a tuple, while the **kwargs parameter allows for an arbitrary number of named arguments to be passed to the function as a dictionary.
Therefore, the correct statement that best describes the code is:
The *args parameter holds a list of unnamed parameters, while the **kwargs parameter holds a dictionary of named parameters.
NEW QUESTION # 59
Which of the following examples using line breaks and different indentation methods are compliant with PEP
8 recommendations? (Select two answers.)
Answer: A,B
Explanation:
The correct answers are A and B. Option A uses a clean multi-line dictionary layout, placing each key- value pair on its own line and aligning the closing brace clearly. This is readable and consistent with PEP 8's preference for clear continuation formatting. Option B is also compliant because continuation lines are aligned with the opening delimiter of the function call, which is an accepted PEP 8 style.
Option C is not compliant because the function call is split awkwardly, making the call structure unclear and damaging readability. Option D uses unnecessary spaces inside braces and around dictionary colons; PEP 8 discourages extraneous whitespace in expressions and dictionary displays.
NEW QUESTION # 60
Select the true statements about PEP 8 recommendations related to using blank lines. (Select two answers.)
Answer: B,C
Explanation:
The correct answers are C and D. PEP 8 recommends surrounding top-level function and class definitions with two blank lines. This improves readability by clearly separating major program units in a module. Inside a class, method definitions should be separated by a single blank line because methods are more closely related and need less visual separation than top-level definitions. Option A is incorrect because imports are commonly grouped into standard library imports, third-party imports, and local application imports, with blank lines separating those groups. Option B is incorrect because one blank line is insufficient for top-level functions and classes under PEP 8. These spacing rules support clean, predictable, maintainable Python code layout.
NEW QUESTION # 61
What is the result of the following code?
import configparser
config = configparser.ConfigParser()
config['DEFAULT'] = {}
config['mysql'] = {}
config['postgresql'] = {}
config['redis'] = config['postgresql']
print(config.sections())
Answer: B
Explanation:
The correct answer is B. The ConfigParser.sections() method returns a list of section names, but it does not include the special DEFAULT section. Therefore, even though config['DEFAULT'] = {} is present, DEFAULT is excluded from the printed result. The code then creates three regular sections: mysql, postgresql, and redis. Assigning config['redis'] = config['postgresql'] creates or updates a separate section named redis using the values from the postgresql section; it does not duplicate the section name postgresql in the section list. Therefore, the output contains only the normal section names: ['mysql',
'postgresql', 'redis'] .
NEW QUESTION # 62
......
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