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 h

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. You have a Fabric eventstream that loads data into a table named Bike_Location in a KQL database. The table contains the following columns:

• BikepointID
• Street
• Neighbourhood
• No_Bikes
• No_Empty_Docks
• Timestamp

You need to apply transformation and filter logic to prepare the data for consumption. The solution must return data for a neighbourhood named Sands End when No_Bikes is at least 15. The results must be ordered by No_Bikes in ascending order. Solution: You use the following code segment: bike_location | filter Neighbourhood == "Sands End" and No_Bikes >= 15 | order by No_Bikes | project BikepointID, Street, Neighbourhood, No_Bikes, No_Empty_Docks, Timestamp Does this meet the goal?