Which of the following correctly demonstrates how to handle exceptions inside a Kafka Streams map operation in Java?

easy📝 Syntax Q3 of 15

Kafka - Advanced Stream Processing

Which of the following correctly demonstrates how to handle exceptions inside a Kafka Streams map operation in Java?

Astream.map((key, value) -> { try { return process(value); } catch (Exception e) { return null; } });

Bstream.map((key, value) -> process(value)).catch(Exception e -> handle(e));

Cstream.map((key, value) -> process(value)).onError(e -> log(e));

Dstream.map((key, value) -> process(value)) throws Exception;

Step-by-Step Solution

Solution:

Step 1: Use try-catch inside the lambda
Kafka Streams does not provide built-in error handling methods like catch or onError on the map method, so exceptions must be caught inside the lambda.
Step 2: Return a fallback or null on exception
Returning null or a fallback value inside the catch block prevents the stream from failing.
Final Answer:
stream.map((key, value) -> { try { return process(value); } catch (Exception e) { return null; } }); correctly uses try-catch inside the map lambda.
Quick Check:
Check for try-catch inside lambda [OK]

Quick Trick: Use try-catch inside lambda for error handling [OK]

Common Mistakes:

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