What is a key difference between synchronous and asynchronous producers in Kafka?
Synchronous producers use a push-based model, while asynchronous producers use a pull-based model.
Synchronous producers block until the broker acknowledges message receipt, while asynchronous producers send messages without waiting for confirmation.
Synchronous producers are only used for high-throughput scenarios, while asynchronous producers are suitable for low-throughput cases.
Synchronous producers send messages to multiple topics, while asynchronous producers send to a single topic.
Which Kafka Streams API is specifically designed for performing windowed aggregations?
filter()
groupBy()
transform()
reduce()
In a Kafka topic with multiple partitions and a replication factor of 3, what is the minimum number of brokers required for fault tolerance if one broker can fail?
3
2
6
1
In Kafka Connect, what is the role of a 'Source Connector'?
It writes data from a Kafka topic to an external system.
It consumes data from an external system and publishes it to a Kafka topic.
It transforms data within a Kafka topic before sending it to a sink.
It routes messages between different topics within a Kafka cluster.
What happens to the data on a broker that is permanently removed from a Kafka cluster without proper decommissioning?
It is automatically replicated to other brokers.
It is permanently lost.
It becomes inaccessible until the broker is added back.
It is migrated to the ZooKeeper ensemble.
What is the primary purpose of ZooKeeper in a multi-node Kafka cluster?
Storing and serving message data
Managing consumer group offsets
Maintaining cluster metadata and ensuring consistency
Compressing messages for efficient storage
KSQL provides an SQL-like interface for interacting with Kafka. What type of language is KSQL categorized as?
Object-oriented programming language
Query language
Markup language
Domain-specific language
In KSQL, what is a 'STREAM' analogous to in traditional database terminology?
A trigger
A table
A stored procedure
A view
What is the primary advantage of using a compacted topic in Kafka?
Reduced storage space by only retaining the latest value for each key.
Guaranteed delivery of messages to all consumers in a group.
Real-time data aggregation and analysis capabilities.
Improved message ordering for high-throughput data streams.
What happens to a consumer's offset when it encounters an error while processing a message?
The offset is automatically reset to the beginning of the partition.
The message is discarded and the offset is advanced.
The offset is not updated until the message is successfully processed.
The consumer is removed from the consumer group.