What is the role of a 'state store' in Kafka Streams?
To cache data from external databases.
To persist data required for stateful operations.
To store intermediate results of stateless operations.
To buffer incoming records before processing.
What is the role of Prometheus in Kafka monitoring?
It collects and stores Kafka metrics as time-series data
It acts as a message broker between Kafka and monitoring tools
It provides a user interface for visualizing Kafka metrics
It analyzes Kafka logs to identify performance bottlenecks
How are Kafka Connect connectors typically run in a production environment?
As standalone Java processes.
Both A and C are common deployment methods.
Within the Kafka broker processes.
As Docker containers orchestrated by Kubernetes.
Which of the following is NOT a core concept in stream processing?
Windowing
Batch processing
Aggregation
Joining streams
What is the recommended minimum number of brokers for a production-ready Kafka cluster to ensure high availability and fault tolerance?
1
2
4
3
How does Kafka ensure message ordering within a partition?
By using message keys for sorting
By assigning sequential timestamps to messages
By employing a priority queue mechanism
By appending messages sequentially to the log
What happens when the retention period set for a Kafka topic expires?
The entire topic is deleted from the Kafka cluster.
Only messages older than the retention period are deleted.
Consumers can no longer subscribe to the topic.
The topic becomes read-only, preventing new messages from being published.
How does increasing the replication factor of a topic affect the availability and durability of data in Kafka?
Higher replication factor increases both availability and durability without any drawbacks.
Higher replication factor has no impact on availability or durability.
Higher replication factor increases availability but reduces durability.
Higher replication factor increases durability but may slightly reduce write availability.
What is the primary benefit of using Kafka's idempotent producer feature?
Improved message ordering guarantees within a partition.
Automatic data balancing across multiple Kafka brokers.
Increased throughput by reducing the need for message acknowledgments.
Elimination of duplicate messages on the broker due to producer retries.
What is the significance of 'Exactly Once Semantics' in Kafka Streams?
It ensures that records are processed in the exact order they were produced.
It guarantees that each record is processed at least once.
It prevents duplicate processing of records even in the event of failures.
It prioritizes speed over accuracy in data processing.