Which types of subqueries does Snowflake support? (Select TWO).
A.
Uncorrelated scalar subqueries in WHERE clauses
B.
Uncorrelated scalar subqueries in any place that a value expression can be used
C.
EXISTS, ANY / ALL, and IN subqueries in WHERE clauses: these subqueries can be uncorrelated only
D.
EXISTS, ANY / ALL, and IN subqueries in where clauses: these subqueries can be correlated only
E.
EXISTS, ANY /ALL, and IN subqueries in WHERE clauses: these subqueries can be correlated or uncorrelated
The Answer Is:
B, E
This question includes an explanation.
Explanation:
Snowflake supports a variety of subquery types, including both correlated and uncorrelated subqueries. The correct answers are B and E, which highlight Snowflake's flexibility in handling subqueries within SQL queries.
Uncorrelated Scalar Subqueries: These are subqueries that can execute independently of the outer query. They return a single value and can be used anywhere a value expression is allowed, offering great flexibility in SQL queries.
EXISTS, ANY/ALL, and IN Subqueries: These subqueries are used in WHERE clauses to filter the results of the main query based on the presence or absence of matching rows in a subquery. Snowflake supports both correlated and uncorrelated versions of these subqueries, providing powerful tools for complex data analysis scenarios.
Examples and Usage:
Uncorrelated Scalar Subquery:
SELECT * FROM employees WHERE salary > (SELECT AVG(salary) FROM employees);
Correlated EXISTS Subquery:
SELECT * FROM orders o WHERE EXISTS (SELECT 1 FROM customer c WHERE c.id = o.customer_id AND c.region = 'North America');
[Reference: For comprehensive details on the types of subqueries supported by Snowflake and examples of their usage, consult the Snowflake documentation on subqueries: https://docs.snowflake.com/en/sql-reference/constructs/subqueries.html, ]
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