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.
Real-time data streaming where latency is critical.
Logging system where message loss is acceptable.
What does the term 'offset' represent in Kafka?
The position of a message within a partition.
The timestamp associated with a message.
The physical location of a message on disk.
The unique identifier assigned to each message.
What is the primary purpose of monitoring Kafka metrics?
To identify and troubleshoot security vulnerabilities in Kafka
To debug application code that interacts with Kafka
To track the number of messages consumed by each consumer group
To understand and optimize Kafka cluster performance and health
What is a key difference between Source Connectors and Sink Connectors in Kafka Connect?
Source Connectors handle real-time data, while Sink Connectors handle batch data.
Source Connectors require custom coding, while Sink Connectors use pre-built configurations.
Source Connectors push data, while Sink Connectors pull data.
Source Connectors are stateful, while Sink Connectors are stateless.
In Kafka, which configuration setting controls the duration for which message acknowledgments from consumers are tracked?
offsets.retention.minutes
replica.lag.time.max.ms
group.max.session.timeout.ms
message.timeout.ms
What is the role of a Kafka Controller in a cluster?
Managing message consumption rates
Performing load balancing of messages
Handling data replication between brokers
Monitoring and managing the health of brokers
Which of the following is a valid KSQL command to create a new stream from an existing Kafka topic named 'sensor_data'?
CREATE STREAM sensor_data_stream (sensorId INT, value DOUBLE) WITH (kafka_topic='sensor_data', value_format='JSON');
INSERT INTO sensor_data_stream SELECT * FROM sensor_data;
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');
How does Grafana complement Prometheus in Kafka monitoring?
It sends alerts based on Kafka metrics collected by JMX
It replaces Prometheus as the primary metric storage
It provides customizable dashboards and visualizations for Kafka metrics stored in Prometheus
It acts as a JMX client to collect metrics from Kafka brokers
Which method in the Kafka Consumer API is used to retrieve a batch of records from a topic?
fetch()
poll()
consume()
receive()
How does Kafka ensure data durability and availability in the event of a broker failure?
By using a distributed commit log for tracking message offsets.
By replicating partitions across multiple brokers.
By writing all messages to a persistent disk before acknowledging them.
All of the above.