Which scenario would require using a LEFT JOIN in an Aggregate?

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The scenario that requires using a LEFT JOIN in an Aggregate is when you need all records from the left entity regardless of matches. A LEFT JOIN retrieves all entries from the specified left entity and includes matching records from the right entity where they exist. If there are no matches, the result will still include the left entity's records, but the fields from the right entity will contain null values for those non-matching cases.

This approach is particularly useful in scenarios where you want to ensure that every record from the left entity is represented in the final output, even if no corresponding records are found in the right entity. For example, if you are working with a list of customers and want to display all customers along with their orders, using a LEFT JOIN will ensure that customers who have not placed any orders are still included in the results, with their order details shown as null or empty.

In contrast, other options refer to different types of joins or requirements that do not align with the concept of a LEFT JOIN. Matching records specifically from both entities would suggest using an INNER JOIN, summarizing outputs might involve GROUP BY or other aggregation functions, and not needing records from the left would typically mean a different join type or approach altogether.

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