Confluent CCDAK Exam With Confidence Using Practice Dumps

With acks=all and min.insync.replicas=2, Kafka requires at least two in-sync replicas to acknowledge a write. If only one broker is alive, the condition fails, and NotEnoughReplicasException is thrown by the producer.

From Kafka Producer Exception Docs:

“NotEnoughReplicasException is thrown when the number of in-sync replicas is insufficient to satisfy acks=all with min.insync.replicas.”

NetworkException is generic and not raised here.

NotCoordinatorException is related to consumer group coordination.

NotLeaderForPartitionException is unrelated unless accessing an unassigned leader.

The official Apache Kafka Connect documentation explains that connectors run within the same worker JVM, and all logs are written through the worker’s logging framework (Log4j or Log4j2). To isolate logs for a specific connector, Kafka Connect supports connector-specific logging contexts, which can be routed to separate log files using logging configuration.

By modifying the log4j.properties (or log4j2.xml) file to define a dedicated logger and appender for the connector’s package or class name, you can direct logs from that connector to a separate file. This is the recommended and documented approach for debugging individual connectors in a shared Connect cluster.

Option A is incorrect because there is no generic “enable connector context” switch. Option B may increase verbosity but does not isolate logs per connector. Option D is false; Kafka Connect explicitly supports connector-level log separation through logging configuration.

Therefore, the correct approach is to configure a dedicated log appender for the specific connector.

The offset in the RecordMetadata object returned by the producer represents the position of the record in the partition — i.e., the sequential ID assigned by Kafka once the message is committed.

From Kafka Producer API Documentation:

“The offset is the position of the record in the partition. This is a unique, sequential number assigned by the broker.”

D refers to metadata.partition(), not offset().

B and C are unrelated to how Kafka handles committed offsets.