ICT3612 ASSIGNMENT
3 2024 - DUE 15 JULY
2024
[Company address]
,ICT3612 Assignment 3 2024 - DUE 15 July 2024
Question 1 (2 marks)
Which of the following is an aggregate expression that will find the oldest date in the invoiceDate
column?
1. MIN(invoiceDate)
2. MAX(invoiceDate)
3. HIGH(invoiceDate)
4. LOW(invoiceDate)
2. MAX(invoiceDate)
This aggregate function retrieves the maximum (oldest) date from the invoiceDate column.
Question 2 (2 marks)
Which of the following LIMIT clauses will return a maximum of five rows starting with the eleventh row
in the result set? Downloaded by Corona Virus () lOMoARcPSD| 15 ICT3612/102/0/2024
1. LIMIT 10, <= 5
2. LIMIT 11, <= 5
3. LIMIT 10, 5
4. LIMIT 11, 5
The correct answer for Question 2 is:
4. LIMIT 11, 5
This LIMIT clause will start at the eleventh row and return a maximum of five rows from that point onward in
the result set.
Question 3 (2 marks)
When coded in a WHERE clause, which search condition will return invoices when paymentDate isn’t
null and invoiceTotal is greater than or equal to 500?
, 1. paymentDate IS NULL AND invoiceTotal > 500
2. paymentDate IS NOT NULL OR invoiceTotal >= 500
3. NOT (paymentDate IS NULL AND invoiceTotal <= 500)
4. paymentDate IS NOT NULL AND invoiceTotal >= 500
The correct answer for Question 3, which will return invoices when paymentDate isn’t null and invoiceTotal is
greater than or equal to 500, is:
4. paymentDate IS NOT NULL AND invoiceTotal >= 500
This condition ensures that both paymentDate is not null (indicating payment has been made) and invoiceTotal
is $500 or more.
Question 4 (1 mark)
Which of the following is not a comparison operator in a SQL statement?
1. <>
2. !=
3. =
4. >
The correct answer for Question 4 is:
2. !=
In SQL, the "!=" operator is not a standard comparison operator. Instead, "<>", "=", and ">" are valid
comparison operators commonly used in SQL statements.
Question 5 (1 mark)
If introduced as follows, the subquery can return which of the values listed below? FROM (subquery)
1. a single value
2. a column of one or more rows
3. a table
3 2024 - DUE 15 JULY
2024
[Company address]
,ICT3612 Assignment 3 2024 - DUE 15 July 2024
Question 1 (2 marks)
Which of the following is an aggregate expression that will find the oldest date in the invoiceDate
column?
1. MIN(invoiceDate)
2. MAX(invoiceDate)
3. HIGH(invoiceDate)
4. LOW(invoiceDate)
2. MAX(invoiceDate)
This aggregate function retrieves the maximum (oldest) date from the invoiceDate column.
Question 2 (2 marks)
Which of the following LIMIT clauses will return a maximum of five rows starting with the eleventh row
in the result set? Downloaded by Corona Virus () lOMoARcPSD| 15 ICT3612/102/0/2024
1. LIMIT 10, <= 5
2. LIMIT 11, <= 5
3. LIMIT 10, 5
4. LIMIT 11, 5
The correct answer for Question 2 is:
4. LIMIT 11, 5
This LIMIT clause will start at the eleventh row and return a maximum of five rows from that point onward in
the result set.
Question 3 (2 marks)
When coded in a WHERE clause, which search condition will return invoices when paymentDate isn’t
null and invoiceTotal is greater than or equal to 500?
, 1. paymentDate IS NULL AND invoiceTotal > 500
2. paymentDate IS NOT NULL OR invoiceTotal >= 500
3. NOT (paymentDate IS NULL AND invoiceTotal <= 500)
4. paymentDate IS NOT NULL AND invoiceTotal >= 500
The correct answer for Question 3, which will return invoices when paymentDate isn’t null and invoiceTotal is
greater than or equal to 500, is:
4. paymentDate IS NOT NULL AND invoiceTotal >= 500
This condition ensures that both paymentDate is not null (indicating payment has been made) and invoiceTotal
is $500 or more.
Question 4 (1 mark)
Which of the following is not a comparison operator in a SQL statement?
1. <>
2. !=
3. =
4. >
The correct answer for Question 4 is:
2. !=
In SQL, the "!=" operator is not a standard comparison operator. Instead, "<>", "=", and ">" are valid
comparison operators commonly used in SQL statements.
Question 5 (1 mark)
If introduced as follows, the subquery can return which of the values listed below? FROM (subquery)
1. a single value
2. a column of one or more rows
3. a table