Pass the Python Institute PCPP1 PCPP-32-101 Questions and answers with Dumpstech

A. In the context of TCP/IP networks, the communication side that initiates a connection is called the client, whereas the side that answers the client is called the server.

This statement is true because TCP/IP networks use a client-server model to establish connection-oriented communications. The client is the device or application that requests a service or resource from another device or application, which is called the server. The server responds to the client’s request and provides the service or resource. For example, when you browse a website using a web browser, the browser acts as a client and sends a request to the web server that hosts the website.  The web server acts as a server and sends back the requested web page to the browser 1 .

B. Connectionless communications are usually built on top of TCP.

This statement is false because TCP (Transmission Control Protocol) is a connection-oriented protocol that requires establishing and terminating a connection before and after sending data. Connectionless communications are usually built on top of UDP (User Datagram Protocol), which is a connectionless protocol that does not require any connection setup or teardown. UDP simply sends data packets to the destination without checking if they are received or not 2 .

C. Using walkie-talkies is an example of a connection-oriented communication.

This statement is false because using walkie-talkies is an example of a connectionless communication. Walkie-talkies do not establish a dedicated channel or connection between the sender and receiver before transmitting data. They simply broadcast data over a shared frequency without ensuring that the receiver is ready or available to receive it.  The sender does not know if the receiver has received the data or not 3 .

D. A phone call is an example of a connection-oriented communication.

This statement is true because a phone call is an example of a connection-oriented communication. A phone call requires setting up a circuit or connection between the caller and callee before exchanging voice data. The caller and callee can hear each other’s voice and know if they are connected or not.  The phone call also requires terminating the connection when the conversation is over 4 .

The correct answers are C and D. The json.loads() function is used for JSON deserialization. It accepts a JSON-formatted string, bytes, or bytearray and converts that serialized JSON data into an equivalent Python object. For example, a JSON object becomes a Python dictionary, a JSON array becomes a Python list, JSON strings become Python strings, and JSON numbers become Python numeric values. Option A describes json.dumps(), which takes Python data and serializes it into JSON text. Option B is also incorrect because returning a JSON string is the job of json.dumps(), not json.loads(). Therefore, json.loads() takes JSON text as input and returns a Python entity.

A. The sqlite3 module in python provides an interface compliant to the DB-API 2.0. Thus, it follows a standard performance metric that allows for consistency in database programming with python.

B. The special name 'memory' is used to create a database in RAM using the sqlite3 module. Thus, when you use it as the name of the database file while opening a connection, it creates a temporary database that exists only in memory.

Composition is an object-oriented design concept that models a  has-a relationship . In composition, a class known as  composite  contains an object of another class known as  component .  In other words, a composite class has a component of another class 1 .

B. Composition allows a class to be projected as a container of different classes.

Composition is a concept in Python that allows for building complex objects out of simpler objects, by aggregating one or more objects of another class as attributes. The objects that are aggregated are generally considered to be parts of the whole object, and the containing object is often viewed as a container for the smaller objects.

In composition, objects are combined in a way that allows for greater flexibility and modifiability than what inheritance can offer. With composition, it is possible to create new objects by combining existing objects, by using a container object to host other objects. By contrast, with inheritance, new objects extend the behavior of their parent classes, and are limited by that inheritance hierarchy.

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 correct answers are  B. Option B  and  D. Option D . Both options B and D are compliant with PEP 8 recommendations for line breaks and indentation. PEP 8 recommends using 4 spaces per indentation level and breaking lines before binary operators. In option B, the arguments to the  print  function are aligned with the opening delimiter, which is another acceptable way to format long lines according to PEP 8. In option D, the second line is indented by 4 spaces to distinguish it from the next logical line.

To test whether two variables refer to the same object in memory, you should use the  is  operator. The  is  operator returns  True  if the two variables point to the same object in memory, and  False  otherwise.

For example:

a = [1, 2, 3]

b = a

c = [1, 2, 3]

print(a is b) # True

print(a is c) # False

In this example,  a  and  b  refer to the same list object in memory, so  a is b  returns  True . On the other hand,  a  and  c  refer to two separate list objects with the same values, so  a is c  returns  False .

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.

The  @property  decorator should be defined after the method that is responsible for setting an encapsulated attribute is a false sentence. In fact, the  @property  decorator should be defined before the method that is used to set the attribute value. The  @property  decorator and the setter and deleter methods work together to create an encapsulated attribute, which is used to provide control over the attribute's value.

Answer: A. Deserialization is the process of converting data that has been serialized or encoded in a specific format, back into its original form as an object or a data structure in memory. In Python, this typically involves creating Python objects based on sequences of bytes that have been serialized using a protocol such as JSON, Pickle, or YAML.

For example, if you have a Python object  my_obj  and you want to serialize it to a JSON string, you might do something like this:

import json

serialized_obj = json. dumps (my_obj)

To deserialize the JSON string back into a Python object, you would use the  json.loads()  method:

deserialized_obj = json. loads (serialized_obj)

This would convert the JSON string back into its original Python object form.