Q1
True / FalseIn MySQL, the SELECT * keyword is used to remove duplicate rows from the result set.
The SELECT * keyword ensures that only unique rows are returned in the result set.
Q2
True / FalseUsing SELECT * in MySQL can be applied to multiple columns in a single query.
When SELECT * is applied to multiple columns, it ensures that each combination of values is unique in the result set.
Q3
True / FalseIn MySQL, the SELECT * keyword can only be used with numeric columns.
The SELECT * keyword can be used with any type of column, including numeric, string, and date types.
Q4
True / FalseIn MySQL, using SELECT * with ORDER BY can change the order of the result set.
The SELECT * keyword does not affect the ordering of the result set. The ORDER BY clause is used to sort the results.
Q5
True / FalseIn MySQL, when using SELECT *, the column alias can be used in the ORDER BY clause.
Column aliases can be referenced in the ORDER BY clause when using SELECT *.
Q6
True / FalseIn MySQL, the SELECT * keyword can be used with aggregate functions like SUM and COUNT.
The SELECT * keyword can be used within aggregate functions to consider only unique values.
Q7
True / FalseIn MySQL, using SELECT * on a column with NULL values will return only one NULL in the result set.
When using SELECT *, only one NULL value is returned in the result set, as NULL is considered a select * value.
Q8
True / FalseIn MySQL, you can use the SELECT * keyword in a subquery within the FROM clause.
The SELECT * keyword can be used in subqueries to return unique rows before further processing in the main query.
Q9
True / FalseIn MySQL, the SELECT * keyword can be used with the GROUP BY clause to further filter unique groups.
The GROUP BY clause already groups the rows based on unique values, so using SELECT * with GROUP BY is redundant.
Q10
True / FalseIn MySQL certification exams, it's stated that using SELECT * with LIMIT will always return the exact number of unique rows specified by LIMIT.
When using SELECT * with LIMIT, the number of rows returned may be less than the specified limit if there are not enough unique rows in the result set.