CASE statements are supported for conditional statements.

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Multiple Choice

CASE statements are supported for conditional statements.

Explanation:
CASE statements give you conditional logic within your data queries, allowing a value to be chosen based on which condition is met for each row. In Marketing Cloud’s SQL used in Query Activities, you can include CASE in SELECT lists (and in other parts of the query) to compute conditional results without resorting to multiple separate queries. The syntax typically looks like CASE WHEN condition THEN value WHEN another_condition THEN another_value ELSE default END, and for a given row the first WHEN that evaluates to true determines the output. This is why the statement is true: CASE statements are supported for conditional branching in the query language used here. For example, you can categorize a score with CASE WHEN Score >= 90 THEN 'Excellent' WHEN Score >= 70 THEN 'Good' ELSE 'Average' END AS Performance. The key idea is that CASE lets you map data values to results based on conditions in a single expression.

CASE statements give you conditional logic within your data queries, allowing a value to be chosen based on which condition is met for each row. In Marketing Cloud’s SQL used in Query Activities, you can include CASE in SELECT lists (and in other parts of the query) to compute conditional results without resorting to multiple separate queries. The syntax typically looks like CASE WHEN condition THEN value WHEN another_condition THEN another_value ELSE default END, and for a given row the first WHEN that evaluates to true determines the output. This is why the statement is true: CASE statements are supported for conditional branching in the query language used here. For example, you can categorize a score with CASE WHEN Score >= 90 THEN 'Excellent' WHEN Score >= 70 THEN 'Good' ELSE 'Average' END AS Performance. The key idea is that CASE lets you map data values to results based on conditions in a single expression.

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