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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: File & Data Processing | 15% | - CSV & Configuration Files - SQLite3 Database Operations - XML & JSON Parsing - Logging & System Interaction |
| Topic 2: Coding Conventions, Best Practices & Standardization | 12% | - PEP 1, PEP 8, PEP 20, PEP 257 - Pythonic Principles - Code Readability & Documentation |
| Topic 3: Advanced Object-Oriented Programming | 25% | - Metaclasses & Metaprogramming - Design Patterns - Multiple Inheritance & Mixins - Shallow vs Deep Copy & Serialization - Abstract Base Classes - Attribute Access & Descriptors - Advanced Exceptions & Exception Chaining |
| Topic 4: GUI Programming | 20% | - Tkinter Basics & Widgets - Dialogs & Application Structure - Event-Driven Paradigm - Event Handling & Callbacks |
| Topic 5: Modules, Packages & Advanced Features | 10% | - Import System & Namespaces - Functional Programming Tools - Decorators & Context Managers |
| Topic 6: Network Programming | 18% | - HTTP & Client-Server Communication - REST API Basics - TCP/IP & Socket Programming - JSON/XML Data Exchange |
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NEW QUESTION # 20
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 # 21
Analyze the following snippet and choose the best statement that describes it.
Answer: D
Explanation:
The correct answer is C. Excalibur is the value passed to an instance variable . In the given code snippet, self.
name is an instance variable of the Sword class. When an instance of the Sword class is created with varl
= Sword('Excalibur') , the value 'Excalibur' is passed as an argument to the __init__ method and assigned to the name instance variable of the varl object.
The code defines a class called Sword with an __init__ method that takes one parameter name . When a new instance of the Sword class is created with varl = Sword('Excalibur') , the value of the 'Excalibur' string is passed as an argument to the __init__ method, and assigned to the self.
name instance variable of the varl object.
Reference:
Official Python documentation on Classes: https://docs.python.org/3/tutorial/classes.html
NEW QUESTION # 22
Which of the following examples using line breaks and different indentation methods are compliant with PEP
8 recommendations? (Select two answers.)
Answer: A,C
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 # 23
What is true about a parameter named cls?
Answer: D
Explanation:
The correct answer is C because cls is the conventional first parameter name used in class methods. A class method is defined with the @classmethod decorator, and Python automatically passes the class itself as the first argument when the method is called. This is similar to how self represents the instance in instance methods, but cls represents the class object, not an individual object. Static methods are different because they receive neither self nor cls automatically; they behave like regular functions placed inside a class namespace. Option A is incorrect because a class instance is conventionally referenced by self, not cls. Option D is unrelated to Python's method model.
NEW QUESTION # 24
Select the true statements related to PEP 8 programming recommendations for exception handling. (Select two answers.)
Answer: A,C
Explanation:
The correct answers are C and D. Custom application exceptions should normally inherit from Exception, not directly from BaseException. BaseException is intended for system-exiting exceptions such as SystemExit, KeyboardInterrupt, and GeneratorExit, so deriving ordinary errors from it can interfere with normal control flow. PEP 8 also discourages broad or bare except: clauses because they catch too much and can hide programming errors or prevent expected interruption behavior. Specific exception handling is clearer, safer, and easier to debug. Option A reverses the intended guidance:
exception hierarchies should help code distinguish what went wrong programmatically. Option B is false because a bare except: can catch system-level exceptions, which is exactly why it should be avoided.
NEW QUESTION # 25
......
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