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1. What is the primary function of Apache Kafka?
a) Real-time data processing
b) Batch data processing
c) Web server management
d) Image processing
2. In Kafka, what is a topic?
a) A single record in a database
b) A storage mechanism for messages
c) A type of consumer
d) A message key
3. Which component is responsible for storing and distributing Kafka messages?
a) Broker
b) Producer
c) Consumer
d) Controller
4. What happens when a Kafka broker goes down?
a) The entire cluster stops working
b) Consumers will receive duplicate messages
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c) The partitions assigned to the broker get reassigned to another broker
d) Data is permanently lost
5. What is the default retention period for Kafka messages?
a) 1 hour
b) 7 days
c) 24 hours
d) Until manually deleted
6. How does Kafka ensure message ordering within a partition?
a) By assigning a unique timestamp to each message
b) By maintaining a log file for all messages
c) By ensuring that messages are appended in the order they are received
d) By using a sequence ID stored in ZooKeeper
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7. Which Kafka component consumes messages from a topic?
a) Producer
b) Consumer
c) Broker
d) Controller
8. What role does ZooKeeper play in a Kafka cluster?
a) Stores message logs
b) Manages consumer offsets
c) Coordinates leader election and cluster state
d) Handles message compression
9. In a Kafka producer, which setting controls message durability?
a) acks=0
b) acks=1
c) acks=all
d) acks=none
10. What is the purpose of Kafka Streams?
a) Storing historical messages
b) Processing and transforming data in real-time
c) Managing topic partitions
d) Handling log compaction
11. What happens when a Kafka consumer fails before committing its offset?
a) The message is lost
b) The next consumer reads the message from the last committed offset
c) The producer resends the message
d) The broker deletes the message
12. What does Kafka’s exactly-once semantics (EOS) guarantee?
a) A message will be delivered once and only once
b) A message may be delivered multiple times
c) A message is guaranteed to be processed in order
d) Consumers must manually track offsets
13. In a Kafka cluster, what is the Leader Broker responsible for?
a) Distributing messages across all brokers
b) Managing producer acknowledgments
c) Handling writes and reads for a partition
d) Synchronizing with consumers
14. What is the primary advantage of log compaction in Kafka?
a) Reduces storage cost by removing duplicate messages
b) Increases producer throughput
c) Improves real-time processing speed
d) Reduces consumer lag
15. How does Kafka achieve high throughput and low latency?
a) By using batch processing for messages
b) By storing messages in a NoSQL database
c) By compressing messages before sending
d) By writing messages sequentially to disk
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