What is a key advantage of Kafka's segmented log structure?
Improved performance for small messages
Simplified message encryption at rest
Reduced network bandwidth consumption
Efficient handling of log file rollovers and deletion
What happens to the data on a broker that is permanently removed from a Kafka cluster without proper decommissioning?
It is permanently lost.
It becomes inaccessible until the broker is added back.
It is migrated to the ZooKeeper ensemble.
It is automatically replicated to other brokers.
Which scenario would benefit from using a synchronous Kafka producer?
Financial transaction processing where guaranteed message delivery is paramount.
High-volume sensor data ingestion where throughput is a primary concern.
Logging system where message loss is acceptable.
Real-time data streaming where latency is critical.
What is the primary purpose of ZooKeeper in a multi-node Kafka cluster?
Compressing messages for efficient storage
Maintaining cluster metadata and ensuring consistency
Storing and serving message data
Managing consumer group offsets
How does Kafka ensure message ordering within a partition?
By assigning sequential timestamps to messages
By appending messages sequentially to the log
By employing a priority queue mechanism
By using message keys for sorting
How can you access Kafka's JMX metrics?
By reading the Kafka log files located on the broker servers
By querying the Kafka command-line tools
By accessing the Kafka web console
By connecting to the Kafka broker's JMX port using a JMX client
What is the primary purpose of monitoring Kafka metrics?
To debug application code that interacts with Kafka
To understand and optimize Kafka cluster performance and health
To track the number of messages consumed by each consumer group
To identify and troubleshoot security vulnerabilities in Kafka
What is the significance of the 'unclean.leader.election.enable' configuration parameter during broker failures?
It controls the replication factor for partitions.
It ensures no data loss during leader election but might increase unavailability.
It defines the time a broker is considered dead before triggering a leader election.
It allows for faster leader election but might lead to data loss.
What is the primary purpose of Kafka Connect within the Kafka ecosystem?
Real-time stream processing of data within Kafka topics.
Managing and monitoring the health of Kafka clusters.
Simplifying the integration of data between Kafka and external systems.
Providing a scalable and distributed messaging platform.
What is a key advantage of using KSQL for stream processing in Kafka?
It provides a simpler, SQL-based abstraction for building stream processing applications.
It offers significantly better performance compared to using Kafka Streams API.
It allows for direct manipulation of Kafka's underlying storage files.
It eliminates the need for any programming, relying solely on SQL commands.