PCPP-32-101 Questions and Answers

A. A socket is a connection point that enables a two-way communication between programs running in a network.

This statement is true because a socket is a software structure that serves as an endpoint for sending and receiving data across a network. A socket is defined by an application programming interface (API) for the networking architecture, such as TCP/IP.  A socket can be used to establish a communication channel between two programs running on the same or different network nodes 1 2 .

B. A socket is always the secure means by which computers on a network can safely communicate, without the risk of exposure to an attack.

This statement is false because a socket by itself does not provide any security or encryption for the data transmitted over the network. A socket can be vulnerable to various types of attacks, such as eavesdropping, spoofing, hijacking, or denial-of-service.  To ensure secure communication, a socket can use additional protocols or mechanisms, such as SSL/TLS, SSH, VPN, or firewall 3 .

C. A socket is a connection point that enables a one-way communication only between remote processes.

This statement is false because a socket can enable both one-way and two-way communication between processes running on the same or different network nodes. A socket can be used for connection-oriented or connectionless communication, depending on the type of protocol used.  For example, TCP is a connection-oriented protocol that provides reliable and bidirectional data transfer, while UDP is a connectionless protocol that provides unreliable and unidirectional data transfer 1 2 .

D. A socket can be used to establish a communication endpoint for processes running on the same or different machines.

This statement is true because a socket can be used for inter-process communication (IPC) within a single machine or across different machines on a network.  A socket can use different types of addresses to identify the processes involved in the communication, such as IP address and port number for network sockets, or file name or path for Unix domain sockets 1 2 .

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.

In the given code snippet, an instance of  OwnMath  exception is raised with an explicitly specified  __cause__  attribute that refers to the original exception ( ZeroDivisionError ). This is an example of explicitly chaining exceptions in Python.

The correct answers are B and C. In Python, exception objects have a __traceback__ attribute that stores traceback information connected with the point where the exception was raised. This makes option C true. The traceback object can be processed using functions from the traceback module, including traceback.format_tb(), which formats traceback entries into readable strings, so option B is also true. Option A is wrong because __traceback__ is not a special method and is not “delivered” by the traceback module; it is an exception attribute. Option D is also incorrect because the attribute is not limited only to exceptions in an explicit or implicit exception chain.

According to PEP 8 recommendations, the two best options are  Option B  and  Option D .

Option B follows PEP 8’s suggestion that all lines should be limited to 79 characters and for longer blocks of text like docstrings or comments, the length should be limited to 72 characters 1 . Option D follows PEP 8’s conventions for writing good documentation strings (a.k.a. “docstrings”) which are immortalized in PEP 257. It suggests writing docstrings for all public modules, functions, classes, and methods 2 .

C. w.resizable()

The  resizable()  method takes two Boolean arguments,  width  and  height , that specify whether the main window can be resized in the corresponding directions. Passing  False  to both arguments makes the main window non-resizable, whereas passing  True  to both arguments (or omitting them) makes the window resizable.

Here is an example that sets the dimensions of the main window to 500x400 pixels and makes it non-resizable:

import tkinter as tk

root = tk. Tk ()

root. geometry ( "500x400" )

root. resizable (False, False)

root. mainloop ()

The issue is method resolution order, commonly called MRO. In Python multiple inheritance, the interpreter must build a consistent linear inheritance path for the class. Here, B already inherits from A, meaning B must appear before A in the resolution order. However, class C(A, B) asks Python to resolve A before B. These two requirements conflict, so Python cannot create a valid MRO for class C. This results in a TypeError related to inconsistent method resolution order. The absence of an __init__() method is not a problem because Python supplies a default initializer. Also, C can inherit run() if the inheritance order is valid.

In the given code snippet, the  repeat  function is a decorator that takes an argument  num_times  specifying the number of times the decorated function should be called. The  repeat  function returns an inner function  wrapper_repeat  that takes a function  func  as an argument and returns another inner function  wrapper  that calls  func   num_times  times.

The provided code snippet represents an example of a decorator that accepts its own arguments. The  @decorator_function  syntax is used to apply the  decorator_function  to the  some_function  function. The  decorator_function  takes an argument  arg1  and defines an inner function  wrapper_function  that takes the original function  func  as its argument. The  wrapper_function  then returns the result of calling  func , along with the  arg1  argument passed to the  decorator_function .

Here is an example of how to use this decorator with  some_function :

@ decorator_function ( "argument 1" )

def some_function ():

return "Hello world"

When  some_function  is called, it will first be passed as an argument to the  decorator_function . The  decorator_function  then adds the string  "argument 1"  to the result of calling  some_function()  and returns the resulting string. In this case, the final output would be  "Hello world argument 1" .

The dump() method in the xml.etree.ElementTree module allows you to output a debug representation of an XML tree to a file or standard output. This method is useful for analyzing the structure of the tree and tracking down errors.

In Python,  type  is the built-in metaclass that serves as the base class for all new-style classes. All new-style classes in Python, including built-in types like  int  and  str , are instances of the  type  metaclass and inherit from it.

According to PEP 8, Python's official style guide, line breaks before binary operators produce more readable code, especially in code blocks with long expressions. This is stated in several sources (1,2,6,8) and is a widely accepted convention.

The correct answer is D. Tkinter widgets support many configuration options, and options such as width, underline, and highlightthickness are valid properties for relevant widgets. For example, width can define widget size, underline can specify which character should be underlined in text-based widgets, and highlightthickness controls the thickness of the focus highlight border. The option depth, however, is not a standard Tkinter widget configuration property. Tkinter widget options are specific names understood by the underlying Tk system, and unsupported names normally produce configuration errors when used. Therefore, among the listed options, depth is the one that does not belong as a Tkinter widget property.

A. It addresses a service deployed at localhost (the host where the code is run).

This statement is true because localhost is a special hostname that refers to the local machine or the current host where the code is run. It is equivalent to using the IP address 127.0.0.1, which is the loopback address of the network interface. By using localhost as the hostname, the invocation addresses a service that is deployed on the same machine as the client.

D. It addresses a service listening at port 3000.

This statement is true because port 3000 is the part of the URL that follows the colon after the hostname. It specifies the port number where the service is listening for incoming requests. A port number is a 16-bit integer that identifies a specific process or application on a host. By using port 3000, the invocation addresses a service that is listening at that port.

B. It addresses a service whose timeout is set to 3000 ms.

This statement is false because timeout is not a part of the URL, but a parameter that can be passed to the requests.get () function in Python. Timeout specifies how long to wait for the server to send data before giving up. It is measured in seconds, not milliseconds. By using timeout=3, the invocation sets the timeout to 3 seconds, not 3000 ms.

C. It addresses a service located at the following address local.host.com.

This statement is false because local.host.com is not the same as localhost. Local.host.com is a fully qualified domain name (FQDN) that consists of three parts: local, host, and com. It requires DNS resolution to map it to an IP address. Localhost, on the other hand, is a special hostname that does not require DNS resolution and always maps to 127.0.0.1. By using localhost as the hostname, the invocation does not address a service located at local.host.com.

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:

B. The  *args  parameter holds a list of unnamed parameters, while the  **kwargs  parameter holds a dictionary of named parameters.

The correct answers are A and C. Option A uses a concise one-line docstring that explains the function’s purpose in a useful way. It follows the common Python documentation style by describing what the function returns rather than repeating implementation mechanics. Option C is also useful because the inline comment explains why the value is being adjusted, not merely what the code already shows. Option B is poor because it restates the obvious operation n = n - 1; such comments add noise instead of clarity. Option D is weaker because the docstring describes internal mechanics and argument handling rather than the function’s intended result. Good Python comments should clarify intent, purpose, or non-obvious reasoning.