Applying if statement for the column in pandas

I have a Probability column, some of the values are greater then 1. I am trying to iterate over every row of that column and change values to 0.99 for all > 0.99. Also I need to see if column 1 is equal to column 2. If yes Probability must be 0. And if column 3 is greater than 11 => set Probability to 0.

I have tried next things and these doesn't work. All of them tell me that my syntax is invalid:

test['Probability'] = test.apply(lambda r: '0.99' if r['Probability] == '0.99')

I also tried to write the next. And it doesn't work as well:

test['Probability'] = ['0.99' if a > '0.99',
                       '0.0' if b == c,
                       '0.0' if d > '11'
                        for a, b, c, d in zip(
                          list(test['Probability']),
                          list(test['Column 1']),
                          list(test['Column 2']),
                          list(test['Column 3'])
                        )]


 Probability  Column 1   Column 2  Column 3
    1.13         2           2        13
    0            34          12       2 
    0.1042       4           4        5
    0.8          1           54       3
    0.03         1           3        8

Thanks everyone for your help.