SOL-C01 Exam Dumps | You have a table named 'ORDERS' with a column 'ORDER DATE of data type DATE. You need to write a SQL

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Question 131/155

You have a table named 'ORDERS' with a column 'ORDER DATE of data type DATE. You need to write a SQL query to retrieve all orders placed in the month of January 2023. Which of the following queries is the MOST efficient way to achieve this in Snowflake?

A. SELECT FROM ORDERS WHERE = 1 AND = 2023;

B. `sql SELECT FROM ORDERS WHERE ORDER DATE BETWEEN '2023-01-01' AND '2023-01-
31';

C. SELECT FROM ORDERS WHERE 'YYYY-MM') = '2023-01';

D. `sql SELECT FROM ORDERS WHERE DATE PART(month, ORDER DATE) = 1 AND DATE PART(year, ORDER DATE) = 2023;

E. SELECT FROM ORDERS WHERE ORDER_DATE LIKE '2023-01%'

Correct Answer: B

Using a 'BETWEEN' operator with specific date values (Option B) is generally the most efficient way to filter data based on a date range in Snowflake. It allows Snowflake to utilize indexing (if available) and optimize the query execution plan. Options A and D, using functions like 'MONTH' and 'YEAR' or 'DATE_PART , prevent index usage and require Snowflake to evaluate the function for every row. Option C, converting the date to a string using `TO_CHAR , is also inefficient for the same reason. Option E, using `LIKE', is unsuitable for date comparisons and would not be performant, and could also potentially return incorrect results.

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