What tool is commonly used to manage and monitor Kafka Connect connectors?
Kafka Connect REST API.
Kafka Streams API.
ZooKeeper CLI.
Kafka Control Center.
What is the role of Prometheus in Kafka monitoring?
It acts as a message broker between Kafka and monitoring tools
It collects and stores Kafka metrics as time-series data
It analyzes Kafka logs to identify performance bottlenecks
It provides a user interface for visualizing Kafka metrics
How does Grafana complement Prometheus in Kafka monitoring?
It replaces Prometheus as the primary metric storage
It acts as a JMX client to collect metrics from Kafka brokers
It provides customizable dashboards and visualizations for Kafka metrics stored in Prometheus
It sends alerts based on Kafka metrics collected by JMX
How does Kafka ensure data durability and availability in the event of a broker failure?
By writing all messages to a persistent disk before acknowledging them.
By replicating partitions across multiple brokers.
All of the above.
By using a distributed commit log for tracking message offsets.
What does JMX stand for in the context of Kafka monitoring?
Java Message eXport
JSON Metric eXchange
Just Monitor XML
Java Management eXtensions
In Kafka's architecture, which component is responsible for storing and replicating message data?
Broker
ZooKeeper
Producer
Consumer
In Kafka Streams, what is the primary difference between stateful and stateless processing?
Stateless processing is faster than stateful processing because it does not require data storage.
Stateful processing is used for filtering data, while stateless processing is used for transformations.
Stateful processing is more scalable than stateless processing.
Stateful processing allows access to historical data, while stateless processing only considers the current record.
What is the purpose of consumer groups in Kafka?
To replicate messages across multiple data centers.
To store messages persistently on disk.
To allow multiple consumers to subscribe to the same topic and each process a subset of messages.
To guarantee message ordering for all consumers.
Which Kafka Streams feature allows for joining data from multiple topics based on a common key?
Windowed Aggregation
MapReduce
Branching
Stream-Table Join
What is the recommended minimum number of brokers for a production-ready Kafka cluster to ensure high availability and fault tolerance?
4
3
2
1