Q1
True / FalseThe NOT LIKE operator can be used to exclude patterns in a column.
The NOT LIKE operator is used to exclude patterns defined with the LIKE operator in SQL queries.
Q2
True / FalseThe NOT LIKE operator is case-insensitive by default in Microsoft SQL Server.
By default, the NOT LIKE operator in Microsoft SQL Server is case-insensitive unless a binary collation is used.
Q3
True / FalseUsing NOT LIKE '%a%' will exclude all rows where the column contains the letter 'a'.
The pattern '%a%' matches any string containing the letter 'a'. Using NOT LIKE '%a%' excludes all rows where the column contains the letter 'a'.
Q4
True / FalseThe NOT LIKE operator can be used with wildcards such as '%' and '_'.
The NOT LIKE operator can be used with wildcards like '%' to match any sequence of characters and '_' to match a single character.
Q5
True / FalseNOT LIKE can be used in combination with other operators like AND and OR.
The NOT LIKE operator can be combined with other logical operators like AND and OR to form more complex queries.
Q6
True / FalseThe NOT LIKE operator cannot be used with numeric columns.
The NOT LIKE operator is generally used with string columns, but can be applied to numeric columns if they are cast to strings.
Q7
True / FalseThe NOT LIKE operator will include rows where the column is NULL.
The NOT LIKE operator does not match NULL values. Rows where the column is NULL are not included in the result set.
Q8
True / FalseUsing NOT LIKE 'A%' will exclude rows starting with the letter 'A'.
The pattern 'A%' matches any string starting with 'A'. Using NOT LIKE 'A%' excludes all rows where the column starts with 'A'.
Q9
True / FalseThe NOT LIKE operator is faster than the LIKE operator.
Performance of NOT LIKE and LIKE operators depends on the context and data. There is no inherent speed advantage for NOT LIKE over LIKE.
Q10
True / FalseUsing NOT LIKE '%test%' will exclude all rows where the column contains 'test' anywhere in the string.
The pattern '%test%' matches any string containing 'test' anywhere. Using NOT LIKE '%test%' excludes all rows where the column contains 'test' anywhere in the string.
Q11
True / FalseThe NOT LIKE operator can be used to exclude multiple patterns using the OR operator.
The NOT LIKE operator can be combined with the OR operator to exclude multiple patterns in a single query.
Q12
True / FalseUsing NOT LIKE '_a%' will exclude rows where the second character is 'a'.
The pattern '_a%' matches any string where the second character is 'a'. Using NOT LIKE '_a%' excludes all rows where the second character is 'a'.
Q13
True / FalseNOT LIKE can be used in the WHERE clause of an UPDATE statement.
The NOT LIKE operator can be used in the WHERE clause of an UPDATE statement to filter rows that should not be updated based on a pattern.
Q14
True / FalseThe NOT LIKE operator can be used with the ESCAPE keyword to exclude patterns with special characters.
The NOT LIKE operator can be combined with the ESCAPE keyword to exclude patterns containing special characters like '%', '_', etc.
Q15
True / FalseUsing NOT LIKE '%%' will exclude all rows.
The pattern '%%' matches any string of any length. Using NOT LIKE '%%' effectively excludes all rows.