SQL Server 2017

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create table transactions (
    Customer int,
    Date  date,
    Type varchar(255),
    Amount int
)
insert into transactions (customer, date, type, amount)
    values (1234, '2018-03-26', 'Card', 10),
           (1234, '2018-03-26', 'Cash', 20),
           (1234, '2018-03-28', 'Cash', 20),
           (2345, '2018-03-26', 'Cash', 20),
           (2345, '2018-03-28', 'Cash', 20),
           (3456, '2018-03-26', 'Card', 10),
           (3456, '2018-03-26', 'Card', 200)
7 rows affected

select * from transactions


Customer
Date
Type
Amount


1234
26/03/2018 00:00:00
Card
10

1234
26/03/2018 00:00:00
Cash
20

1234
28/03/2018 00:00:00
Cash
20

2345
26/03/2018 00:00:00
Cash
20

2345
28/03/2018 00:00:00
Cash
20

3456
26/03/2018 00:00:00
Card
10

3456
26/03/2018 00:00:00
Card
200


select t.customer, t.date
from transactions t 
group by t.customer, t.date
having min(t.type) = max(t.type) and min(t.type) = 'card';


customer
date


3456
26/03/2018 00:00:00

Customer	Date	Type	Amount
1234	26/03/2018 00:00:00	Card	10
1234	26/03/2018 00:00:00	Cash	20
1234	28/03/2018 00:00:00	Cash	20
2345	26/03/2018 00:00:00	Cash	20
2345	28/03/2018 00:00:00	Cash	20
3456	26/03/2018 00:00:00	Card	10
3456	26/03/2018 00:00:00	Card	200