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| Section | Weight | Objectives |
|---|
| Python Standard Library and Best Practices | 10% | - Advanced Python development
- 1. Professional programming practices
- 2. Using standard library modules
- 3. Code organization
- 4. Error handling and debugging
|
| GUI Programming | 20% | - Graphical user interfaces with Tkinter
- 1. Application structure
- 2. Widgets and layouts
- 3. User interaction
- 4. Event handling
|
| Network Programming | 20% | - Communication and networking
- 1. Network services
- 2. Socket programming
- 3. Client-server communication
- 4. Protocols and data exchange
|
| Multithreading and Concurrency | 10% | - Concurrent programming
- 1. Synchronization mechanisms
- 2. Thread communication
- 3. Concurrency considerations
- 4. Thread creation and management
|
| Advanced Object-Oriented Programming | 25% | - Object-oriented concepts
- 1. Inheritance and polymorphism
- 2. Method overriding and extension
- 3. Encapsulation and abstraction
- 4. Class and instance attributes
|
| File Processing and Serialization | 15% | - Data storage and transfer
- 1. Persistent data management
- 2. Pickle serialization
- 3. JSON processing
- 4. CSV handling
|
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Python Institute PCPP1 - Certified Professional in Python Programming 1 Sample Questions (Q10-Q15):
NEW QUESTION # 10
In the JSON processing context, the term serialization:
- A. names a process in which Python data is turned into a JSON string.
- B. names a process in which a JSON string is turned into Python data.
- C. names a process in which a JSON string is remodeled and transformed into a new JSON string
- D. refers to nothing, because there is no such thing as JSON serialization.
Answer: A
Explanation:
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.
NEW QUESTION # 11
A socket object is usually created by which one of the following invocations?
- A. socket. socket (socket_domain, socket_type)
- B. socket = socket. socket (socket_number)
- C. socket = socket. socket (socket_domain, socket_type, server_address)
- D. socket = socket.socket(server address)
Answer: A
Explanation:
Explanation
A socket object is usually created using the socket() constructor provided by the socket module in Python. The correct invocation is socket.socket(socket_domain, socket_type). This creates a new socket object with the specified socket domain and type.
NEW QUESTION # 12
What is true about the invocation of the cget () method?
- A. It can be used to read widget attributes.
- B. It can be replaced with a dictionary-like access manner.
- C. It can be used to set new values to widget attributes.
- D. It has the same effect as the config () method.
Answer: A
Explanation:
Explanation
The cget() method in Python is used to read the configuration options of a widget in Tkinter. It retrieves the value of a specified configuration option for a Tkinter widget. Hence, option A is the correct answer.
NEW QUESTION # 13
Which of the following types cannot be pickled?
- A. function and class definitions
- B. None, booleans
- C. strings, bytes, bytearrays
- D. integers, floating-point numbers, complex numbers
Answer: A
Explanation:
The correct answer is B because Python's pickle module can serialize many built-in data types, including integers, floating-point numbers, complex numbers, strings, bytes, bytearrays, booleans, and None. However, it does not serialize the actual implementation or definition body of functions and classes. Top-level functions and classes may sometimes be pickled by reference using their fully qualified names, but their code definitions are not stored inside the pickle byte stream. This distinction matters: pickle records enough information to locate an object again during unpickling, but it does not preserve source code, nested definitions, lambda functions, or dynamically created definitions in a portable way. Therefore, "function and class definitions" is the option that cannot truly be pickled as definitions.
NEW QUESTION # 14
Select the true statements about the sqlite3 module. (Select two answers.)
- A. The fetchone method returns None when no rows are available
- B. The fetchalt method returns None when no rows are available
- C. The execute method is provided by the Cursor class
- D. The execute method allows you to perform several queries at once
Answer: A,C
Explanation:
Explanation
The execute method is provided by the Cursor class
This statement is true because the execute method is one of the methods of the Cursor class in the sqlite3 module. The Cursor class represents an object that can execute SQL statements and fetch results from a database connection. The execute method takes an SQL query as an argument and executes it against the database. For example, cur = conn.cursor (); cur.execute ("SELECT * FROM table") creates and executes a cursor object that selects all rows from a table.
The fetchone method returns None when no rows are available
This statement is true because the fetchone method is another method of the Cursor class in the sqlite3 module.
The fetchone method fetches the next row of a query result set and returns it as a single tuple or None if no more rows are available. For example, row = cur.fetchone () fetches and returns one row from the cursor object or None if there are no more rows.
NEW QUESTION # 15
......
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