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Confluent CCDAK Exam Syllabus Topics:

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

1. Kafka producers can batch messages going to the same partition.
Which statement is correct about producer batching?

A) Producers can only batch messages of the same size.
B) Producers can include multiple batches in a single request to a broker.
C) Producers have a separate background thread for each batch.
D) Two or more broker failures will automatically disable batching on the producer.

2. Which two producer exceptions are examples of the class RetriableException? (Select two.)

A) RecordTooLargeException
B) AuthorizationException
C) LeaderNotAvailableException
D) NotEnoughReplicasException

3. You need to configure a sink connector to write records that fail into a dead letter queue topic. Requirements:
Topic name: DLQ-Topic
Headers containing error context must be added to the messagesWhich three configuration parameters are necessary?(Select three.)

A) errors.log.include.messages=true
B) errors.log.enable=true
C) errors.tolerance=all
D) errors.deadletterqueue.context.headers.enable=true
E) errors.deadletterqueue.topic.name=DLQ-Topic
F) errors.tolerance=none

4. You need to consume messages from Kafka using the command-line interface (CLI).
Which command should you use?

A) kafka-consumer
B) kafka-consume
C) kafka-console-consumer
D) kafka-get-messages

5. Which is true about topic compaction?

A) Compaction will keep exactly one message per key after compaction of inactive log segments.
B) When a client produces a new event with an existing key, the old value is overwritten with the new value in the compacted log segment.
C) Topic compaction does not remove old events; instead, when clients consume events from a compacted topic, they store events in a hashmap that maintains the latest value.
D) When a client produces a new event with an existing key, the broker immediately deletes the offset of the existing event.

Solutions: