DP-700 Exam - Question 63

Question

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.

Examice · Accepted Answer

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4371883 · Answer

1. eventstream with an external data source
2. eventstream processor
https://learn.microsoft.com/en-us/fabric/real-time-intelligence/event-streams/add-source-azure-event-hubs?pivots=enhanced-capabilities
https://learn.microsoft.com/en-us/fabric/real-time-intelligence/event-streams/process-events-using-event-processor-editor?pivots=enhanced-capabilities

18e18d0 · Answer

The answer is correct. The question states that eventstream already exists and uses the lakehouse as destination. The question also states that the rows need to be batch ingested. Thus 1) Dataflow and 2) Filter activity are the best in this situation

henryphchan · Answer

The provided answer. This question is asking how you can batch ingest only rows from the data source where the City attribute has a value of Kansas. To minimize development effeort, the data processor must be DataFlow Gen2 and the filtering should use the Filter in DataFlow Gen2

hebertorosillo · Answer

1. eventstream with an external data source
2. eventstream processor    . Dataflow  not support  Event Hubs

13d2a97 · Answer

Data processor: An eventstream with a custom endpoint
Eventstreams allow real-time processing of data using processors, and a custom endpoint provides flexibility in routing data downstream, especially after transformations or filters.

Filtering: An eventstream processor
Eventstream processors are used within the eventstream pipeline to apply transformations, filters (like your "City = 'Kansas'" logic), or aggregations before writing to a destination. This is the most efficient and low-code way to apply this filter.

13d2a97 · Answer

Data processor: An eventstream with a custom endpoint
Eventstreams allow real-time processing of data using processors, and a custom endpoint provides flexibility in routing data downstream, especially after transformations or filters.

Filtering: An eventstream processor
Eventstream processors are used within the eventstream pipeline to apply transformations, filters (like your "City = 'Kansas'" logic), or aggregations before writing to a destination. This is the most efficient and low-code way to apply this filter.

DP-700 Exam - Question 63

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