HOTSPOT You have an Azure Event Hubs data source that contains weather data. You ingest the data from the data source by using an eventstream named Eventstream1. Eventstream1 uses a lakehouse as the destination. You need to batch ingest only rows from the data source where the City attribute has a value of Kansas. The filter must be added before the destination. The solution must minimize development effort. What should you use for the data processor and filtering? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

The scenario involves ingesting data from Azure Event Hubs, which is defined in Microsoft Fabric as an external data source for an eventstream. Therefore, the Eventstream1 artifact is an "eventstream with an external data source."

To meet the requirement of filtering data before it reaches the destination (the lakehouse) with minimal effort, you must use the built-in eventstream processor. This feature provides a no-code visual editor within the eventstream artifact itself, allowing you to add operators, such as the "Filter" operator, to transform and filter the data in real-time as it flows through the stream.

Microsoft Learn: "Add and manage eventstream sources."

Section: "External data sources"

Content: This document explicitly lists "Azure Event Hubs" as an "external data source" from which an eventstream can get data. This supports selecting "An eventstream with an external data source" as the data processor artifact.

Microsoft Learn: "Process event streams with the event processor editor."

Section: "Event processor operators"

Content: This documentation states, "The Fabric eventstream's event processor feature provides a no-code experience... to process... and filter data... before you send it to a destination." It specifically lists the "Filter" operator as the tool used "to filter out events based on a condition," confirming "An eventstream processor" is the correct component for filtering.