Q1
True / FalseIn MySQL, the NOT LIKE operator is used to search for a specified pattern in a column.
The NOT LIKE operator is used to search for values that do not match a specified pattern.
Q2
True / FalseMySQL's NOT LIKE can be used to exclude rows where a column value contains a specific substring.
The NOT LIKE operator in MySQL excludes rows where the column value contains the specified pattern.
Q3
True / FalseMySQL's NOT LIKE operator can only be used with numeric data types.
The NOT LIKE operator in MySQL is used with string data types to filter out rows that do not match the specified pattern.
Q4
True / FalseIn MySQL, the NOT LIKE operator is case-sensitive by default.
By default, the NOT LIKE operator in MySQL is case-sensitive, depending on the collation of the column being searched.
Q5
True / FalseThe MySQL query SELECT * FROM employees WHERE name NOT LIKE '%John%'; will return rows where the name contains the substring 'John'.
The query will return rows where the name does not contain the substring 'John'.
Q6
True / FalseUsing NOT LIKE 'A%' in a MySQL query will exclude rows where the column values start with the letter 'A'.
The pattern 'A%' matches any value that starts with 'A', and NOT LIKE 'A%' excludes those rows.
Q7
True / FalseMySQL allows the use of multiple NOT LIKE conditions combined with the AND operator to exclude rows that match multiple patterns.
Multiple NOT LIKE conditions can be combined with AND to exclude rows that match any of the specified patterns.
Q8
True / FalseThe MySQL query SELECT * FROM products WHERE description NOT LIKE '%cheap%' AND description NOT LIKE '%discount%'; will return rows where the description contains either 'cheap' or 'discount'.
The query will return rows where the description does not contain 'cheap' or 'discount'.
Q9
True / FalseMySQL's NOT LIKE operator can be used in a HAVING clause to filter out groups that do not match a specific pattern
The NOT LIKE operator can be used in the HAVING clause to filter out groups based on aggregated column values that do not match a pattern.
Q10
True / FalseIn MySQL, SELECT * FROM orders WHERE order_status NOT LIKE 'completed%'; will return all rows where the order_status column does not start with the word 'completed'.
The NOT LIKE 'completed%' condition filters out rows where the order_status starts with 'completed', returning only those rows where it does not.