The exception that is raised when a calculation exceeds the maximum limit for a numeric type is **OverflowError**.

### Explanation:
1. **StandardError**: This is a base class for all built-in exceptions except for system-exiting exceptions. It is not specific to numeric overflow.

2. **ArithmeticError**: This is a base class for exceptions that occur for numeric calculations. However, it is too broad and is not specific to overflow situations.

3. **OverflowError**: This exception specifically occurs when a calculation exceeds the limits of a numeric type. For example, if you try to create an integer that is too large to fit in the memory allocated for an integer type, Python will raise an `OverflowError`.

4. **FloatingPointError**: This exception is raised when a floating point operation fails. While it may seem related, it specifically pertains to floating-point calculations rather than all numeric types.

Therefore, the correct answer is **OverflowError**.

Question

The exception that is raised when a calculation exceeds the maximum limit for a numeric type is **OverflowError**.

### Explanation:
1. **StandardError**: This is a base class for all built-in exceptions except for system-exiting exceptions. It is not specific to numeric overflow.
   
2. **ArithmeticError**: This is a base class for exceptions that occur for numeric calculations. However, it is too broad and is not specific to overflow situations.

3. **OverflowError**: This exception specifically occurs when a calculation exceeds the limits of a numeric type. For example, if you try to create an integer that is too large to fit in the memory allocated for an integer type, Python will raise an `OverflowError`.

4. **FloatingPointError**: This exception is raised when a floating point operation fails. While it may seem related, it specifically pertains to floating-point calculations rather than all numeric types.

Therefore, the correct answer is **OverflowError**.

Knowee AI · Accepted Answer

The exception that is raised when a calculation exceeds the maximum limit for a numeric type is **OverflowError**.

### Explanation:
1. **StandardError**: This is a base class for all built-in exceptions except for system-exiting exceptions. It is not specific to numeric overflow.
   
2. **ArithmeticError**: This is a base class for exceptions that occur for numeric calculations. However, it is too broad and is not specific to overflow situations.

3. **OverflowError**: This exception specifically occurs when a calculation exceeds the limits of a numeric type. For example, if you try to create an integer that is too large to fit in the memory allocated for an integer type, Python will raise an `OverflowError`.

4. **FloatingPointError**: This exception is raised when a floating point operation fails. While it may seem related, it specifically pertains to floating-point calculations rather than all numeric types.

Therefore, the correct answer is **OverflowError**.

Which exception raised when a calculation exceeds maximum limit for a numeric type?StandardErrorArithmeticErrorOverflowErrorFloatingPointError

Question

Which exception raised when a calculation exceeds maximum limit for a numeric type?

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