How are Kafka Connect connectors typically run in a production environment?
As standalone Java processes.
Within the Kafka broker processes.
As Docker containers orchestrated by Kubernetes.
Both A and C are common deployment methods.
Which mechanism is fundamental to Kafka's zero-copy technology for transferring data between the broker and the operating system?
Message compression
Data encryption
Direct memory access (DMA)
Data deduplication
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 offers significantly better performance compared to using Kafka Streams API.
It provides a simpler, SQL-based abstraction for building stream processing applications.
It allows for direct manipulation of Kafka's underlying storage files.
What is the primary benefit of using Kafka's idempotent producer feature?
Automatic data balancing across multiple Kafka brokers.
Elimination of duplicate messages on the broker due to producer retries.
Improved message ordering guarantees within a partition.
Increased throughput by reducing the need for message acknowledgments.
What is the primary advantage of using a compacted topic in Kafka?
Improved message ordering for high-throughput data streams.
Reduced storage space by only retaining the latest value for each key.
Real-time data aggregation and analysis capabilities.
Guaranteed delivery of messages to all consumers in a group.
Which of the following is the function of a 'Sink Connector' in Kafka Connect?
It filters messages in a Kafka topic based on predefined criteria.
It aggregates data from multiple Kafka topics into a single topic.
It retrieves data from a Kafka topic and writes it to an external system.
It replicates data between different Kafka clusters.
How can you access Kafka's JMX metrics?
By querying the Kafka command-line tools
By reading the Kafka log files located on the broker servers
By connecting to the Kafka broker's JMX port using a JMX client
By accessing the Kafka web console
What is the primary purpose of ZooKeeper in a multi-node Kafka cluster?
Compressing messages for efficient storage
Storing and serving message data
Maintaining cluster metadata and ensuring consistency
Managing consumer group offsets
What is the purpose of using tumbling windows in Kafka Streams?
To process records in fixed-size, non-overlapping time intervals.
To overlap windows for smoothing out aggregated results.
To trigger aggregations only when a specific event occurs.
To divide data into sessions based on user activity.
Which of the following is NOT a core concept in stream processing?
Joining streams
Aggregation
Windowing
Batch processing