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.
Improved message ordering for high-throughput data streams.
Real-time data aggregation and analysis capabilities.
In Kafka Connect, what is the role of a 'Source Connector'?
It consumes data from an external system and publishes it to a Kafka topic.
It routes messages between different topics within a Kafka cluster.
It transforms data within a Kafka topic before sending it to a sink.
It writes data from a Kafka topic to an external system.
What is the significance of the 'unclean.leader.election.enable' configuration parameter during broker failures?
It allows for faster leader election but might lead to data loss.
It defines the time a broker is considered dead before triggering a leader election.
It controls the replication factor for partitions.
It ensures no data loss during leader election but might increase unavailability.
Which component in Kafka is responsible for managing the state of tasks and ensuring fault tolerance within a Kafka Streams application?
Kafka Producer
Kafka Streams API
Kafka Connect
ZooKeeper
How does Kafka ensure message ordering within a partition?
By employing a priority queue mechanism
By assigning sequential timestamps to messages
By using message keys for sorting
By appending messages sequentially to the log
In KSQL, what is a 'STREAM' analogous to in traditional database terminology?
A table
A trigger
A stored procedure
A view
How does Kafka Streams ensure fault tolerance during stateful processing?
By replicating the state store across multiple nodes in the cluster.
By storing state information only in memory for fast recovery.
By relying on external databases for state persistence.
By disabling stateful operations during network partitions.
In Kafka, which configuration setting controls the duration for which message acknowledgments from consumers are tracked?
offsets.retention.minutes
group.max.session.timeout.ms
message.timeout.ms
replica.lag.time.max.ms
What is a key advantage of using KSQL for stream processing in Kafka?
It eliminates the need for any programming, relying solely on SQL commands.
It provides a simpler, SQL-based abstraction for building stream processing applications.
It allows for direct manipulation of Kafka's underlying storage files.
It offers significantly better performance compared to using Kafka Streams API.
What is the primary purpose of Kafka Connect within the Kafka ecosystem?
Providing a scalable and distributed messaging platform.
Managing and monitoring the health of Kafka clusters.
Simplifying the integration of data between Kafka and external systems.
Real-time stream processing of data within Kafka topics.