You want to build a real-time system where many services process the same data stream independently and reliably. Why is Kafka a good choice?

hard📝 Application Q15 of 15

Kafka - Basics and Event Streaming

AKafka allows multiple consumers to read the same data without losing messages

BKafka stores data only temporarily, so it is fast but unreliable

CKafka requires all consumers to read messages in order and together

DKafka is designed only for batch processing, not real-time data

Step-by-Step Solution

Solution:

Step 1: Understand Kafka's support for real-time data and multiple consumers
Kafka stores messages durably and allows many consumers to read independently, making it reliable for real-time systems.
Step 2: Analyze incorrect options
Kafka stores data only temporarily, so it is fast but unreliable is false because Kafka stores data durably, not just temporarily. Kafka requires all consumers to read messages in order and together is incorrect; consumers can read independently and at different speeds. Kafka is designed only for batch processing, not real-time data is wrong; Kafka is designed for real-time streaming, not just batch.
Final Answer:
Kafka allows multiple consumers to read the same data without losing messages -> Option A
Quick Check:
Kafka = Reliable real-time multi-consumer streaming [OK]

Quick Trick: Kafka supports reliable real-time multi-reader streams [OK]

Common Mistakes:

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