DP-700 Question #32: Real Exam Question with Answer & Explanation

Question

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You have a KQL database that contains two tables named Stream and Reference. Stream contains streaming data in the following format. [Table showing Column name: Timestamp, Geolocation, Temperature, DeviceId and Data type: Datetime, Dynamic, Decimal, Int] Reference contains reference data in the following format. [Table showing Column name: DeviceId, DeviceName and Data type: Int, String] Both tables contain millions of rows. You have the following KQL queryset. [KQL query shown: `01 Stream 02 | extend lat = todecimal(Geolocation.Latitude), long = todecimal(Geolocation.Longitude) 03 | join kind=inner Reference on DeviceId 04 | project Timestamp, lat, long, Temperature, DeviceName 05 | filter Temperature > 10 06 | render scatterchart with (kind = map)`] 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?

Options

• AYes
• BNo