Microsoft Fabric Data Engineer Associate DP-700 Practice Question
You manage a Microsoft Fabric Real-Time Analytics KQL database that receives clickstream events from a website. Each event has a column named eventTime (datetime). Because events can arrive up to two minutes late, you need to write a KQL query that returns the count of events per one-minute interval without being affected by late arrivals. Which expression should you use to create the 1-minute grouping key?
Late-arriving data can cause incorrect results if the window is based on the original event timestamp. In KQL, the ingestion_time() function returns the moment each record was ingested. Binning that value with bin(…, 1m) creates time buckets aligned to the actual arrival of the data, ensuring all late events are counted in the correct one-minute window. Using eventTime or other expressions would group by the potentially delayed event timestamp and therefore miss or double-count late data.
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Why is bin() used for 1-minute intervals in KQL?
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Microsoft Fabric Data Engineer Associate DP-700
Ingest and transform data
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