Apache Kafka MCQs with answers Page - 23

Here, you will find a collection of MCQ questions on Apache Kafka. Go through these questions to enhance your preparation for upcoming examinations and interviews.

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A

Admin • 833.24K Points
Coach

Q. Kafka uses which mechanism to ensure high throughput?

  • (A) Polling
  • (B) Batching and zero-copy
  • (C) Push model
  • (D) Asynchronous email

A

Admin • 833.24K Points
Coach

Q. Which property enables idempotent Kafka producers?

  • (A) enable.idempotence=true
  • (B) acks=all
  • (C) batch.idempotence=true
  • (D) message.retries=0

A

Admin • 833.24K Points
Coach

Q. Kafka’s 'log compaction' feature allows:

  • (A) Permanent deletion of logs
  • (B) Retention of the latest value for each key
  • (C) Encrypted log storage
  • (D) Balanced load distribution

A

Admin • 833.24K Points
Coach

Q. What is a Kafka offset?

  • (A) Unique ID of a topic
  • (B) Key-value separator
  • (C) Position of a message in a partition
  • (D) Partition leader ID

A

Admin • 833.24K Points
Coach

Q. Kafka cluster metadata is updated using:

  • (A) Admin client only
  • (B) Consumer polling
  • (C) Broker heartbeat
  • (D) ZooKeeper or KRaft metadata quorum

A

Admin • 833.24K Points
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Q. Kafka Connect enables integration with:

  • (A) Web servers
  • (B) Distributed caches
  • (C) External data sources like DBs and files
  • (D) Message queues only

A

Admin • 833.24K Points
Coach

Q. In Kafka, a 'consumer group' allows:

  • (A) Parallel consumption across consumers
  • (B) Multiple producers
  • (C) Faster retention
  • (D) Data encryption

A

Admin • 833.24K Points
Coach

Q. Kafka topics are identified by:

  • (A) Numeric ID
  • (B) Topic name string
  • (C) Partition ID
  • (D) Message key

A

Admin • 833.24K Points
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Q. Kafka is highly scalable due to:

  • (A) Monolithic architecture
  • (B) File-based storage
  • (C) Partitioned and distributed log structure
  • (D) Centralized processing

A

Admin • 833.24K Points
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Q. Which component assigns partitions to consumers?

  • (A) Kafka producer
  • (B) Kafka broker
  • (C) Consumer group coordinator
  • (D) Kafka Connect

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