Q1
True / FalseThe query 'SELECT DISTINCT column_name FROM table_name' will remove duplicate values in 'column_name'.
The DISTINCT keyword will ensure that all values in 'column_name' are unique in the result set, removing duplicates.
Q2
True / FalseDISTINCT can be applied to multiple columns to ensure unique combinations of those columns.
When DISTINCT is applied to multiple columns, it returns unique combinations of all specified columns, not just unique values in one column.
Q3
True / FalseThe query 'SELECT DISTINCT * FROM table_name' removes duplicates based on all columns in 'table_name'.
Using DISTINCT with '*' ensures that all rows are unique across all columns. If two rows have the same values in all columns, one will be removed.
Q4
True / FalseDISTINCT can be used with aggregate functions like COUNT() to count only unique values.
DISTINCT can be used inside aggregate functions such as COUNT() to count unique values. For example, 'SELECT COUNT(DISTINCT column_name) FROM table_name' counts unique values in 'column_name'.
Q5
True / FalseApplying DISTINCT with an ORDER BY clause can affect the performance of the query significantly.
Using DISTINCT with ORDER BY can affect performance due to the additional sorting and duplication removal processes required.
Q6
True / FalseThe query 'SELECT DISTINCT column_name FROM table_name WHERE column_name = value' will return only distinct values of 'column_name' that match 'value'.
The DISTINCT keyword works with the WHERE clause to filter and return only unique values in 'column_name' that meet the specified condition.
Q7
True / FalseDISTINCT can be used with JOIN operations to remove duplicates from the joined result set.
DISTINCT is useful in JOIN operations to remove duplicate rows resulting from combining multiple tables.
Q8
True / FalseUsing DISTINCT with subqueries will ensure the subquery results contain unique rows before applying the outer query.
DISTINCT used in a subquery will ensure that the subquery result set contains only unique rows before the outer query processes it.
Q9
True / FalseThe DISTINCT keyword affects only the result set of a SELECT statement, not the actual data in the table.
DISTINCT does not modify the data stored in the table; it only affects the result set returned by the SELECT statement.
Q10
True / FalseDISTINCT can be used in a query with multiple columns to ensure each combination of those columns is unique.
When DISTINCT is applied to multiple columns, it ensures that the result set contains unique combinations of the values across those columns.
Q11
True / FalseThe query 'SELECT DISTINCT column_name FROM table_name ORDER BY column_name' will return unique values of 'column_name' sorted in ascending order.
The DISTINCT keyword removes duplicates, and the ORDER BY clause sorts the unique values in ascending order by default.
Q12
True / FalseDISTINCT can be combined with GROUP BY to ensure that each group of data is unique.
DISTINCT and GROUP BY are used for different purposes; DISTINCT removes duplicates, while GROUP BY aggregates data based on specified columns.
Q13
True / FalseDISTINCT can handle NULL values by treating all NULLs as duplicates.
DISTINCT treats all NULL values as equal, so if multiple rows have NULLs in the same column, only one NULL will appear in the result set.
Q14
True / FalseUsing DISTINCT with large datasets will always significantly slow down query performance.
While DISTINCT can impact performance, the degree of impact depends on various factors including indexing, data volume, and query optimization.
Q15
True / FalseThe DISTINCT keyword will not work with subqueries that include aggregate functions like SUM or AVG.
DISTINCT can be used in subqueries with aggregate functions to ensure the results are unique. For example, 'SELECT DISTINCT column_name FROM (SELECT SUM(column_name) FROM table_name) AS subquery'.