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Exam DP-700 topic 2 question 8 discussion

Actual exam question from Microsoft's DP-700
Question #: 8
Topic #: 2
[All DP-700 Questions]

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.

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Suggested Answer:
by 4371883 at Jan. 25, 2025, 8:32 a.m.

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4371883
Highly Voted 3 months, 2 weeks ago
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
upvoted 14 times
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18e18d0
Highly Voted 3 months ago
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
upvoted 5 times
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13d2a97
Most Recent 3 weeks, 1 day ago
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.
upvoted 1 times
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13d2a97
3 weeks, 1 day ago
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.
upvoted 1 times
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hebertorosillo
1 month, 2 weeks ago
1. eventstream with an external data source 2. eventstream processor . Dataflow not support Event Hubs
upvoted 2 times
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henryphchan
2 months, 3 weeks ago
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
upvoted 3 times
zxc01
1 month, 1 week ago
the problem is "You need to batch ingest only rows from the data source where the City attribute has a value of Kansas." where is the data source in this one? it is very hard to build dataflow Gen2 if this data source is event hub. key word "batch ingest" looks like point to dataflow Gen2. And question said they already set eventstream to save data in lakehouse. If this data source means the table in lakehouse, then I can agree dataflow Gen2 is best option.
upvoted 1 times
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