What will happen if you attempt to modify an immutable object in Python?

When attempting to modify an immutable object in Python, a new object will be created with the modified value. This behavior is inherent to the nature of immutable types, such as strings, tuples, and frozensets, which cannot be altered once they are created.

For instance, if you take a string and try to change one of its characters, Python will not allow modification of the original string. Instead, it will create a new string that contains the desired changes. This design is beneficial because it ensures that immutable objects maintain integrity throughout the program, leading to predictable behavior and easier debugging.

The original object remains unchanged because any operation that appears to modify it is, in fact, producing a new object rather than altering the existing one. This characteristic of immutability allows for safer use of objects, especially in multi-threaded environments, where concurrent modifications can lead to unexpected errors or data corruption.

The other choices may not align with the behavior observed in Python when dealing with immutable objects, as they imply some form of modification to the original object or indicate an incorrect understanding of how immutability works within the language.