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Question 53

What is a recommended practice when designing an integration Mule 4 application that reads a large XML payload as a stream?

The payload must be cached using a Cache scope if it is to be sent to multiple backend systems

The payload size should NOT exceed the maximum available heap memory of the Mule runtime on which the Mule application executes

The payload should be dealt with as an XML stream, without converting it to a single Java object (POJO)

The payload should be dealt with as a repeatable XML stream, which must only be traversed (iterated-over) once and CANNOT be accessed randomly from DataWeave expressions and scripts

Correct Answer: C

When designing an integration Mule 4 application that reads a large XML payload as a stream, a recommended practice is to deal with the payload as an XML stream without converting it to a single Java object (POJO). This is because processing the XML using streaming allows handling of large payloads efficiently by not loading the entire payload into memory at once, thus avoiding issues related to memory consumption.

Discussion

Rahul1387Option: C

*Correction C

Rahul1387Option: B

The answer is B

awstj

When calculating the in-memory buffer size for repeatable auto-paging, you need to estimate the amount of memory each instance takes to avoid running out of memory. https://docs.mulesoft.com/mule-runtime/4.3/streaming-about

AlandtOption: C

ChatGPT: C. The payload should be dealt with as an XML stream, without converting it to a single Java object (POJO).

vikas_muleOption: C

C is correct, streaming is used to process lorge payload, in not storing whole as an object

gilofernandesOption: B

https://help.mulesoft.com/s/article/Error-that-the-max-streaming-memory-limit-has-been-exceeded

jmayOption: C

Streaming is the only way to go

Outdoor25Option: C

It should be C. Cannot be B because single XML file maxing heap size means there is no space for any other operations in the runtime. Which is a problem.