A data analyst is working with a Sales table that includes the columns ProductCategory and Region. The analyst has been asked to generate a report that only includes sales of 'Electronics' that occurred in the 'North' region. Which SQL snippet should the analyst add to their query to correctly filter the dataset?
HAVING ProductCategory = 'Electronics' AND Region = 'North'
WHERE ProductCategory = 'Electronics' AND Region = 'North'
WHERE ProductCategory = 'Electronics' OR Region = 'North'
FILTER (ProductCategory = 'Electronics' AND Region = 'North')
The correct answer uses the WHERE clause with the AND operator. The WHERE clause is used to filter rows based on specific conditions. The AND operator is used to combine multiple conditions, and it returns a record only if all of the conditions are met. In this scenario, the data must be filtered to meet two conditions simultaneously: the ProductCategory must be 'Electronics' and the Region must be 'North'.
The option with the OR operator is incorrect because it would return records where either the category is 'Electronics' (regardless of region) or the region is 'North' (regardless of category), which does not meet the specific requirement.
The HAVING clause is incorrect because it is used to filter groups after an aggregation has been performed (e.g., with GROUP BY), not to filter individual rows. The WHERE clause filters rows before aggregation.
The FILTER clause is not a standard SQL clause for row-level filtering in the way WHERE is. While some database systems have a FILTER clause, it is typically used with aggregate functions in a different context, not as a direct replacement for WHERE.
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