Which of the following is a benefit of using a dedicated monitoring system for Kafka instead of relying solely on JMX?
Both A and C
Simplified access to metrics without requiring a JMX client
Eliminates the need for JMX configuration
Reduced load on Kafka brokers
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
Consumer lag metrics
Replication lag metrics
Broker disk usage metrics
Which Kafka Streams feature allows for joining data from multiple topics based on a common key?
Windowed Aggregation
Stream-Table Join
Branching
MapReduce
What happens when the retention period set for a Kafka topic expires?
Consumers can no longer subscribe to the topic.
Only messages older than the retention period are deleted.
The topic becomes read-only, preventing new messages from being published.
The entire topic is deleted from the Kafka cluster.
How are Kafka Connect connectors typically run in a production environment?
Both A and C are common deployment methods.
Within the Kafka broker processes.
As standalone Java processes.
As Docker containers orchestrated by Kubernetes.
What information is typically included in a Kafka Connect connector configuration file?
All of the above.
The source or sink system connection details, data format, and topic mapping.
The Kafka producer and consumer configurations for message production and consumption.
The security credentials for accessing the Kafka Connect cluster and topics.
How does Kafka Streams achieve fault tolerance?
By using a single, centralized processing unit.
By storing all processed data in a separate, redundant database.
By relying solely on message acknowledgments from consumers.
By replicating stream processing tasks across multiple nodes.
In Kafka, which configuration setting controls the duration for which message acknowledgments from consumers are tracked?
group.max.session.timeout.ms
message.timeout.ms
offsets.retention.minutes
replica.lag.time.max.ms
Which of the following is NOT a common category of Kafka metrics?
Authentication metrics
Consumer metrics
Producer metrics
Topic metrics
What does the term 'offset' represent in Kafka?
The timestamp associated with a message.
The position of a message within a partition.
The unique identifier assigned to each message.
The physical location of a message on disk.