How does Kafka achieve scalability?
By limiting the number of topics allowed
By distributing data across multiple brokers
By using a single, powerful server
Through complex data compression algorithms
What is the significance of the replication.factor setting in topic configuration?
replication.factor
Determines the number of brokers where topic data is replicated.
Configures the message delivery semantics (at-least-once, at-most-once).
Sets the compression algorithm for messages.
Specifies the maximum message size allowed in the topic.
What is the primary function of a Kafka producer?
Reading messages from a topic
Managing user permissions
Publishing messages to a topic
Storing messages persistently
How do you specify the message format (e.g., JSON, Avro) when consuming messages with the Kafka console consumer?
--key-serializer
--value-deserializer
--message-format
--consumer-format
What command line option is used with the Kafka console producer to specify the topic to which messages should be sent?
--partition
--topic
--message
--bootstrap-server
Which of the following is NOT a responsibility of a Kafka Consumer?
Publish messages to topics
Read messages from topics
Track message consumption progress
Subscribe to topics
In Kafka, what is a 'Topic' analogous to?
A single message
A category or stream of messages
A storage location on a hard drive
A specific partition within a broker
What is the primary mechanism for achieving fault tolerance in Kafka?
Message queueing
Use of a distributed commit log
Message acknowledgments
Data replication across partitions
Which command line tool is used to consume messages from a Kafka topic?
kafka-console-consumer.sh
zookeeper-shell.sh
kafka-topics.sh
kafka-console-producer.sh
What is the role of the zookeeper.connect property in Kafka configuration?
zookeeper.connect
Defines the compression codec for messages.
Specifies the ZooKeeper quorum for Kafka to connect to.
Configures the replication factor for topics.
Sets the data retention period for messages.