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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) Compaction will keep exactly one message per key after compaction of inactive log segments.
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 old value is overwritten with the new value in the compacted log segment.

2. You have a topic with four partitions. The application reads from it using two consumers in a single consumer group.
Processing is CPU-bound, and lag is increasing.
What should you do?

A) Decrease the max.poll.records property of consumers.
B) Increase the max.poll.records property of consumers.
C) Add more partitions to the topic to increase the level of parallelism of the processing.
D) Add more consumers to increase the level of parallelism of the processing.

3. You are developing a Java application using a Kafka consumer.
You need to integrate Kafka's client logs with your own application's logs using log4j2.
Which Java library dependency must you include in your project?

A) SLF4J implementation for Log4j 1.2 (org.slf4j:slf4j-log4j12)
B) SLF4J implementation for Log4j2 (org.apache.logging.log4j:log4j-slf4j-impl)
C) None, the right dependency will be added by the Kafka client dependency by transitivity.
D) Just the log4j2 dependency of the application

4. (You are writing a producer application and need to ensure proper delivery.
You configure the producer with acks=all.
Which two actions should you take to ensure proper error handling?
Select two.)

A) Check that producer.send() returned a RecordMetadata object and is not null.
B) Surround the call to producer.send() with a try/catch block to catch KafkaException.
C) Use a callback argument in producer.send() where you check delivery status.
D) Check the value of ProducerRecord.status().

5. (You are building real-time streaming applications using Kafka Streams.
Your application has a custom transformation.
You need to define custom processors in Kafka Streams.
Which tool should you use?)

A) Kafka Streams Domain Specific Language (DSL)
B) TopologyTestDriver
C) Kafka Streams Custom Transformation Language
D) Processor API

Solutions: