The concept of optional parameter was introduced in C#4.0. Optional parameters enables you to pass the only required parameters. Each optional parameter has its default value, if no value is passed for this default parameter then its default value would be used. Default value must be of constant type and it must be defined at the end of the parameter list and it can be applied on indexer, method and constructor.
Syntax of optional parameter:
![](data:image/png;base64,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)
In above image empName , age are required parameters while location is optional parameters.
if we don't provide the value of 3rd parameter then location would used its default value which is "India".
Calling conventions:
![](data:image/png;base64,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)
In the above code we can see that location is not provided while saving data for "Amit" (Line no-1) in this case default value of location parameter would be used which is "India" but in second call we are proving the location "USA" which will overwrite the value of default parameter.
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