Microsoft Fabric Data Engineer Associate DP-700 Practice Question
You create a Fabric pipeline that ingests Parquet files from a folder in OneLake. The pipeline must start automatically each time a new file whose name matches sales_*.parquet is added to that folder. You want the run to start as soon as the file is committed and avoid polling or fixed-interval schedules.
Which trigger configuration should you use?
A tumbling-window trigger with a 1-minute window size that processes new files for each window instance.
A schedule trigger that runs every minute and uses a dataset file-existence check at activity start.
A custom event trigger that receives events you send from an external application when a file is uploaded.
A Storage events trigger that listens for BlobCreated events and filters on the folder path and the *.parquet suffix.
In Fabric pipelines (based on Azure Data Factory), an event-based Storage events trigger can subscribe to BlobCreated events that Event Grid emits when new data is written to an ADLS Gen2 location in OneLake. The trigger lets you specify blobPathBeginsWith and blobPathEndsWith filters (for example, the target folder and the *.parquet suffix), so the pipeline fires immediately after a matching file arrives. A schedule trigger and a tumbling-window trigger rely on periodic polling rather than real-time events, while a custom event trigger requires you to raise events yourself and is unnecessary when Storage events already expose BlobCreated events for the lake.
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Microsoft Fabric Data Engineer Associate DP-700
Implement and manage an analytics solution
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