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Why does Kafka Streams require a Materialized parameter when using aggregate()?

hard🧠 Conceptual Q10 of Q15
Kafka - Streams
Why does Kafka Streams require a Materialized parameter when using aggregate()?
ATo specify how to store and serialize the aggregation state
BTo define the output topic name
CTo filter records before aggregation
DTo convert KStream to KTable automatically
Step-by-Step Solution
Solution:

  1. Step 1: Understand aggregation state storage

    Kafka Streams stores aggregation results in a state store that must be serialized and configured.

  2. Step 2: Role of Materialized parameter

    The Materialized parameter tells Kafka Streams how to store and serialize the aggregation state.

  3. Final Answer:

    To specify how to store and serialize the aggregation state -> Option A

  4. Quick Check:

    Materialized configures state store and serialization [OK]
Quick Trick: Materialized sets state store and serialization details [OK]
Common Mistakes:
MISTAKES
  • Thinking Materialized defines output topic
  • Assuming it filters records
  • Believing it converts stream types

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