Exam DP-700 topic 2 question 39 discussion

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."

Source1 10 MB, semi-structured, contains a bigint column ✅ An eventstream Built for semi-structured data (like JSON), low-code, minimal effort Source2 25 MB, structured, with 19 columns ✅ A streaming dataflow Ideal for columnar structured data, Power Query UI, minimal coding Source3 5 MB, unstructured, contains images ✅ Apache Spark Structured Streaming Only Spark can handle binary/unstructured formats like images

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.