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When an exception is thrown, Python creates an exception object that contains all but one of the following items of information. Which one is it?

a. The type of exception
b. The name of the class for the type of exception
c. The severity of the exception
d. The message for the exception

2 Answers

5 votes

Final answer:

In Python, when an exception is thrown, the exception object includes the type of exception, the name of the class, and the error message, but not the severity of the exception.

Step-by-step explanation:

When an exception is thrown in Python, the exception object that is created contains several pieces of information about the error. This includes a. The type of exception, b. The name of the class for the type of exception, and d. The message for the exception. However, it does not include c. The severity of the exception. The concept of 'severity' is not inherently a part of the exception object in Python, as the language itself does not assign a severity level to exceptions; it's up to the developer to handle exceptions as needed based on the context of their code.

User Mikala
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8.3k points
4 votes

Final Answer:

When an exception is thrown in Python, the exception object created contains all information except for the severity of the exception (c. The severity of the exception). (option c)

Step-by-step explanation:

When Python encounters an error during program execution, it raises an exception and creates an exception object to capture relevant information about the error. This information includes the type of exception (a. The type of exception), the name of the class for the type of exception (b. The name of the class for the type of exception), and the message associated with the exception (d. The message for the exception).

The severity of the exception, or how critical it is to the program, is not explicitly included in the exception object. Instead, severity is implied by the type and context of the exception. For instance, an exception related to a critical operation may be considered severe, while a less critical operation may raise an exception with lower severity.

In summary, Python's exception objects provide comprehensive details about the encountered error, excluding the explicit indication of severity. Programmers can leverage this information to handle exceptions appropriately and ensure robust error management in their Python code.(option c)

User Muneeb Ejaz
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