Final answer:
When converting from a larger data type to a smaller data type, there is a risk of losing information. This is known as narrowing conversion. Examples include converting from a floating-point number to an integer or converting a larger integer type to a smaller integer type.
Step-by-step explanation:
When converting from a larger data type to a smaller data type, there is a risk of losing information. This type of conversion is called narrowing conversion. It involves reducing the size or precision of the data being converted, which can result in loss of data or a loss of accuracy.
For example, let's consider the conversion of a floating-point number to an integer. The floating-point number may have decimal places, but when it is converted to an integer, those decimal places are truncated. This can result in a loss of information.
Another example is converting a larger integer type, like a long, to a smaller integer type, like a byte. If the value of the long exceeds the range of the byte data type, the result will be a loss of information, as the byte can't represent the full value of the long.