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DP-700 Exam - Question 73


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You have a KQL database that contains two tables named Stream and Reference. Stream contains streaming data in the following format.

Reference contains reference data in the following format.

Both tables contain millions of rows.

You have the following KQL queryset.

You need to reduce how long it takes to run the KQL queryset.

Solution: You change the join type to kind=outer.

Does this meet the goal?

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GHill1982Option: B
Jan 1, 2025

No. An outer join can be more computationally intensive than an inner join because it needs to process all rows from both tables and include rows that don't have matching entries.

vigaroOption: B
Mar 21, 2025

increase data

13d2a97Option: B
Apr 20, 2025

An outer join returns all rows from both tables, with nulls where there's no match. This results in more data to process, which increases execution time, especially when both Stream and Reference tables have millions of rows.