Explanation:
The question requires adding a continuous percentile calculation to the Payload column while minimizing development effort. Option A (Add a KQL queryset to Workspace1) is the correct choice because KQL (Kusto Query Language) provides built-in percentile functions like percentile() and percentiles() that can perform continuous percentile calculations with minimal code. This approach leverages existing Fabric capabilities without requiring complex transformations. The community discussion shows 100% consensus for option A, with users noting that other options are overly complicated or don't fit the requirements. Options B, C, and D involve eventstream transformations that would require more development effort and may not directly support continuous percentile calculations as efficiently as KQL.
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You have a Fabric workspace named Workspace1 containing an eventstream named Eventstream1. Eventstream1 is reading data from an Azure event hub named Eventhub1. The data in Eventhub1 contains a Payload column.
You need to add a continuous percentile calculation for the Payload column while minimizing development effort.
What should you do?
A
Add a KQL queryset to Workspace1.
B
Add a Group by transformation to Eventstream1.
C
Add a Manage fields transformation to Eventstream1.
D
Add an Aggregate transformation to Eventstream1.