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Exam DP-700 topic 2 question 39 discussion

Actual exam question from Microsoft's DP-700
Question #: 39
Topic #: 2
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You need to recommend a Fabric streaming solution that will use the sources shown in the following table.



The solution must minimize development effort.

What should you include in the recommendation for each source? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

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minami1998
1 week, 2 days ago
Eventstream: Max message size 1 MB https://learn.microsoft.com/en-us/fabric/real-time-intelligence/event-streams/overview?tabs=enhancedcapabilities#limitations
upvoted 1 times
minami1998
1 week, 2 days ago
Streaming Dataflows: [Data Types] - DateTime: Date and time field in ISO format - Float: Decimal number - Int: Integer number - Record: Nested object with multiple records - String: Text https://learn.microsoft.com/en-us/power-bi/transform-model/dataflows/dataflows-streaming?utm_source=chatgpt.com#data-types
upvoted 1 times
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a85becd
3 weeks ago
1. **Source1 (Semi-structured data, 10 MB)**: - **Solution**: **Eventstream** - Eventstream is optimized for handling semi-structured data and can efficiently process messages with a `bigint` column, while providing real-time streaming capabilities. 2. **Source2 (Structured data, 25 MB)**: - **Solution**: **Stream Dataflow** - Stream Dataflow is an appropriate choice for structured data. It allows easy ingestion and transformation of structured datasets, minimizing development effort. 3. **Source3 (Unstructured data with images, 5 MB)**: - **Solution**: **Spark Structured Streaming** - Spark Structured Streaming is ideal for processing unstructured data, such as images, in real-time. It provides flexibility for working with diverse data formats.
upvoted 1 times
a85becd
2 weeks, 6 days ago
Source1: cannot be Data pipeline as it is designed for batch processing Source2: I need to change it to Spark streaming Structure as Stream dataflow is retired in Fabric Source 3:: cannot be Eventstream as it is not designed to handle unstructured data like images or multimedia
upvoted 1 times
a85becd
2 weeks, 6 days ago
Source1- Event Stream (Stream Solution+ Semi Structured file handling) Source2: Spark Structured Streaming (Stream Solution + structured file Handling) Source3: Spark Structured Streaming (Stream Solution + ustructured file Handling) Cannot: Data pipeline, as it is only for batch processing, not optimized for Stream Cannot: Stream dataflow, as it is retired in Fabric
upvoted 1 times
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zxc01
1 month ago
Eventstream has 1MB max size limitation, streaming dataflow has been retired in Fabric. We just can choose between Apache Spark Structured Streaming and data pileline(normally it will be used for batch loging solution not Fabric streaming solution). I cannot understand if all of 3 sources have to match Apache Spark Structured Streaming. I have to make these answers: Source 1, semi-structured, contains a bigint column, Apache Spark Structured Streaming can match it if we choose longType. Source 2 is hard to make decision because lost details, I tend to choose data pipleline. Source 3 has image, we can use copy activity in data pipeline and set file format to Binary.In order to match "The solution must minimize development effort."
upvoted 4 times
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zxc01
1 month, 1 week ago
I think both Apache Spark Structured Streaming and data pipeline(if we think it can play role of Fabric streaming solution) can match it. Howerver, question said "The solution must minimize development effort", data pipeline is better? Source2 didn't give enough details, if this structured data is database and configured with CDC, then eventstream is option. Source 3 should be data pipeline.
upvoted 1 times
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