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Exam DP-700 topic 2 question 10 discussion

Actual exam question from Microsoft's DP-700
Question #: 10
Topic #: 2
[All DP-700 Questions]

You have an Azure event hub. Each event contains the following fields:

BikepointID -

Street -

Neighbourhood -

Latitude -

Longitude -

No_Bikes -

No_Empty_Docks -
You need to ingest the events. The solution must only retain events that have a Neighbourhood value of Chelsea, and then store the retained events in a Fabric lakehouse.
What should you use?

  • A. a KQL queryset
  • B. an eventstream
  • C. a streaming dataset
  • D. Apache Spark Structured Streaming
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Suggested Answer: B 🗳️
by GHill1982 at Dec. 31, 2024, 8:04 p.m.

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GHill1982
Highly Voted 4 months, 1 week ago
Selected Answer: B
Eventstream would be most suitable for this.
upvoted 6 times
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MultiCloudIronMan
Most Recent 2 months, 2 weeks ago
Selected Answer: B
An eventstream is designed to handle this type of real-time data processing. It provides the necessary capabilities to: Ingest data from sources like Azure Event Hubs. Filter and transform the data in real-time. Store the processed data directly into a destination like a Fabric lakehouse.
upvoted 2 times
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4371883
3 months, 2 weeks ago
Selected Answer: B
Eventstream is the way to go here. It allows for transformation activities such as filter. https://learn.microsoft.com/en-us/fabric/real-time-intelligence/event-streams/add-source-azure-event-hubs?pivots=enhanced-capabilities
upvoted 3 times
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amli123
3 months, 3 weeks ago
Selected Answer: D
The questions says to store the data in a Fabric lakehouse -> correct answer should be a apache spark structured streaming. Using an eventstream stored the data in KQL database, with optional availability in OneLake, but the questions doesnt state anything about KQL databases, so structured streaming should be the correct answer.
upvoted 3 times
38578c4
2 months, 2 weeks ago
It's not true. Eventstream coud store into Lakehouse
upvoted 3 times
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B (20%)
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