Confluent CCAAK Dumps Questions Answers

Event stream processing is ideal for real-time and near-real-time scenarios. Kafka Streams and ksqlDB are commonly used in use cases requiring immediate reaction to data.

A → Correct: Fraud detection systems benefit from low-latency anomaly detection.

B → Correct: Real-time product recommendations based on user activity require continuous processing.

C → Incorrect: End-of-day processing is batch-oriented, not real-time.

D → Correct: Real-time alerting and log anomaly detection are classic streaming use cases.

E → Incorrect: Historical dashboards rely on batch aggregation and are not continuous processing.

Page Reference:

Kafka: The Definitive Guide, 1st Edition, Chapter 7, p. 210–215

Confluent Documentation: Use Cases for Kafka Streams and ksqlDB

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In Kafka Connect, sink connectors consume data from Kafka topics and send it to external systems (e.g., databases, object storage, search indexes).

From Kafka documentation:

“Sink connectors receive data from Kafka topics and write it to external systems.”

A → Correct: Moves data out of Kafka.

B → Moves data into Kafka.

C → Not a connector type.

D → Not a standard connector classification.

Page Reference:

Kafka: The Definitive Guide, 1st Edition, Chapter 8, p. 241

Apache Kafka Documentation: Kafka Connect – Sink Connectors

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Event stream processing involves the transformation, filtering, enrichment, and joining of data as it streams through Kafka. Kafka provides two core technologies for this:

Kafka Streams: A client library for building applications and microservices that process and analyze data stored in Kafka.

ksqlDB: A SQL-based interface for building real-time applications that run continuous queries on Kafka streams.

From Confluent documentation:

“Kafka Streams and ksqlDB are the primary technologies for stream processing on Kafka.”

Schema Registry (A) provides schema storage and validation.

Confluent Replicator (D) is used for mirroring topics across clusters, not processing.

Page Reference:

Kafka: The Definitive Guide, 1st Edition, Chapter 7, p. 211–222

Confluent Docs: ksqlDB Overview and Kafka Streams Developer Guide

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