What is the primary method used by a Kafka Producer to send messages to a Kafka topic?
push()
send()
deliver()
transmit()
What is the primary purpose of Kafka Connect within the Kafka ecosystem?
Managing and monitoring the health of Kafka clusters.
Providing a scalable and distributed messaging platform.
Real-time stream processing of data within Kafka topics.
Simplifying the integration of data between Kafka and external systems.
How does Grafana complement Prometheus in Kafka monitoring?
It sends alerts based on Kafka metrics collected by JMX
It provides customizable dashboards and visualizations for Kafka metrics stored in Prometheus
It acts as a JMX client to collect metrics from Kafka brokers
It replaces Prometheus as the primary metric storage
What is a key advantage of Kafka's segmented log structure?
Simplified message encryption at rest
Reduced network bandwidth consumption
Efficient handling of log file rollovers and deletion
Improved performance for small messages
How does Kafka Streams ensure fault tolerance during stateful processing?
By disabling stateful operations during network partitions.
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.
Which of the following is a valid KSQL command to create a new stream from an existing Kafka topic named 'sensor_data'?
INSERT INTO sensor_data_stream SELECT * FROM sensor_data;
CREATE STREAM sensor_data_stream (sensorId INT, value DOUBLE) WITH (kafka_topic='sensor_data', value_format='JSON');
CREATE TABLE sensor_data_stream AS SELECT * FROM sensor_data;
DEFINE STREAM sensor_data_stream (sensorId INT, value DOUBLE) WITH (topic='sensor_data', format='JSON');
What is the role of a 'state store' in Kafka Streams?
To buffer incoming records before processing.
To persist data required for stateful operations.
To cache data from external databases.
To store intermediate results of stateless operations.
What type of metrics would you monitor to track the rate at which messages are being produced to a Kafka topic?
Producer request rate metrics
Replication lag metrics
Broker disk usage metrics
Consumer lag metrics
What is the primary purpose of ZooKeeper in a multi-node Kafka cluster?
Storing and serving message data
Compressing messages for efficient storage
Maintaining cluster metadata and ensuring consistency
Managing consumer group offsets
What is the primary advantage of using a compacted topic in Kafka?
Reduced storage space by only retaining the latest value for each key.
Real-time data aggregation and analysis capabilities.
Improved message ordering for high-throughput data streams.
Guaranteed delivery of messages to all consumers in a group.