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Python Institute PCPP-32-101 Exam Syllabus Topics:

SectionObjectives
Python Standard Library and Best Practices- Testing and debugging
  • 1. Debugging techniques
    • 2. Unit testing with unittest/pytest concepts
      - File and data processing
      • 1. Serialization (JSON, CSV)
        • 2. Working with files and directories
          GUI Programming- Tkinter fundamentals
          • 1. Event handling
            • 2. Widgets and layout management
              Network Programming and Communication- Web communication basics
              • 1. HTTP requests and APIs
                • 2. Data exchange formats
                  Advanced Object-Oriented Programming- Class design and advanced inheritance
                  • 1. Multiple inheritance and MRO
                    • 2. Abstract classes and interfaces
                      - Metaprogramming basics
                      • 1. Decorators and class decorators
                        • 2. Introspection techniques

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                          Python Institute PCPP1 - Certified Professional in Python Programming 1 Sample Questions (Q25-Q30):

                          NEW QUESTION # 25
                          Select the true statements about the json.-dumps () function. (Select two answers.)

                          Answer: C,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 # 26
                          Look at the following code snippets and decide which ones follow PEP 8 recommendations for whitespaces in expressions and statements (Select two answers.) A) No whitespace immediately before the opening parenthesis that starts the list of arguments of a function call:

                          B)
                          A whitespace immediately before a comma, semicolon, and colon:

                          C)
                          No whitespace between a trailing comma and a following closing parenthesis:

                          D)
                          A whitespace immediately after the opening parenthesis that starts indexing or slicing:

                          Answer: B,D

                          Explanation:
                          Option A is true because PEP 8 recommends avoiding extraneous whitespace immediately inside parentheses, brackets or braces 1 .
                          Option C is true because PEP 8 recommends avoiding extraneous whitespace between a trailing comma and a following close parenthesis 1 .


                          NEW QUESTION # 27
                          What does the term deserialization mean? Select the best answer.

                          Answer: C

                          Explanation:
                          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.
                          Reference:
                          Official Python Documentation on Serialization: https://docs.python.org/3/library/pickle.html#module-pickle Real Python Tutorial on Serialization and Deserialization in Python: https://realpython.com/python- serialization/ Deserialization is the process of converting a sequence of bytes, such as a file or a network message, into a Python object. This is the opposite of serialization, which is the process of converting a Python object into a sequence of bytes for storage or transmission.


                          NEW QUESTION # 28
                          Select the true statements about sockets. (Select two answers)

                          Answer: B,C

                          Explanation:
                          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 .
                          References:
                          1 : https://en.wikipedia.org/wiki/Network_socket 2 : https://www.geeksforgeeks.org/socket-in-computer- network/ 3 : https://www.tutorialspoint.com/what-is-a-network-socket-computer-networks


                          NEW QUESTION # 29
                          Select the true statement about the___name___attribute.

                          Answer: D

                          Explanation:
                          The true statement about the __name__ attribute is D. name is a special attribute, which is inherent for classes, and it contains the name of a class . The __name__ attribute is a special attribute of classes that contains the name of the class as a string.
                          The __name__ attribute is a special attribute in Python that is available for all classes, and it contains the name of the class as a string. The __name__ attribute can be accessed from both the class and its instances using the dot notation.
                          Reference:
                          Official Python documentation on Classes: https://docs.python.org/3/tutorial/classes.html#class-objects


                          NEW QUESTION # 30
                          ......

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