Microsoft Fabric Data Engineer Associate DP-700 Practice Question
You manage a Microsoft Fabric workspace that contains a pipeline which copies incoming files from an Azure Data Lake Storage Gen2 container into a Lakehouse and then calls a notebook for transformation. You must ensure the pipeline starts automatically as soon as a new *.parquet file is written to the container's raw/products folder and that the full path of the file is passed to the notebook as a parameter. Which action should you take?
Add a schedule trigger that executes the pipeline every minute and supplies the folder path as a parameter.
Create an event trigger connected to the storage account that listens for the BlobCreated event on the raw/products/*.parquet path and maps the blob URL to a pipeline parameter.
Configure a manual trigger for the pipeline and enable the On file arrival option on the dataset that points to the folder.
Add a tumbling-window trigger that runs every five minutes and passes the detected file path to a pipeline parameter.
Event triggers listen for Azure Event Grid notifications such as Microsoft.Storage.BlobCreated. When a blob that matches the specified path pattern (for example raw/products/*.parquet) is detected, the trigger immediately starts the pipeline and provides system properties like the blob URL. These properties can be mapped to pipeline parameters and forwarded to the notebook. Schedule and tumbling-window triggers poll on an interval rather than reacting to the storage event, so they introduce latency and unnecessary runs. Manual triggers never fire automatically, and there is no "On file arrival" option. Therefore, attaching an event trigger that listens for the BlobCreated event and maps the file path to a parameter is the correct solution.
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Microsoft Fabric Data Engineer Associate DP-700
Implement and manage an analytics solution
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