Confluent Certified Developer for Apache Kafka Certification Examination : CCDAK

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

1. Which is true about topic compaction?

A) When a client produces a new event with an existing key, the broker immediately deletes the offset of the existing event.
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) Compaction will keep exactly one message per key after compaction of inactive log segments.
D) 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.

2. (You are implementing a Kafka Streams application to process financial transactions.
Each transaction must be processed exactly once to ensure accuracy.
The application reads from an input topic, performs computations, and writes results to an output topic.
During testing, you notice duplicate entries in the output topic, which violates the exactly-once processing requirement.
You need to ensure exactly-once semantics (EOS) for this Kafka Streams application.
Which step should you take?)

A) Set enable.exactly_once=true in the Kafka Streams configuration.
B) Set enable.idempotence=true in the internal producer configuration of the Kafka Streams application.
C) Enable compaction on the output topic to handle duplicates.
D) Set processing.guarantee=exactly_once_v2 in the Kafka Streams configuration.

3. Your application is consuming from a topic configured with a deserializer.
It needs to be resilient to badly formatted records ("poison pills"). You surround the poll() call with a try/catch for RecordDeserializationException.
You need to log the bad record, skip it, and continue processing.
Which action should you take in the catch block?

A) Log the bad record, no other action needed.
B) Log the bad record and call the consumer.skip() method.
C) Log the bad record and seek the consumer to the offset of the next record.
D) Throw a runtime exception to trigger a restart of the application.

4. (You are developing a Kafka Streams application with a complex topology that has multiple sources, processors, sinks, and sub-topologies.
You are working in a development environment and do not have access to a real Kafka cluster or topics.
You need to perform unit testing on your Kafka Streams application.
Which should you use?)

A) TestProducer, TestConsumer
B) KafkaUnitTestDriver
C) TopologyTestDriver
D) MockProducer, MockConsumer

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

Solutions: