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Confluent CCDAK Exam Syllabus Topics:

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

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

2. Which statement describes the storage location for a sink connector's offsets?

A) In a file specified by the offset.storage.file.filename configuration parameter
B) In memory which is then periodically flushed to a RocksDB instance
C) The __consumer_offsets topic, like any other consumer
D) The topic specified in the offsets.storage.topic configuration parameter

3. Which is true about topic compaction?

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

4. (You need to set alerts on key broker metrics to trigger notifications when a Kafka cluster is unhealthy.
What are three minimum broker metrics to monitor for cluster health?
Select three.)

A) kafka.controller:type=KafkaController,name=OfflinePartitionsCount
B) kafka.controller:type=KafkaController,name=TopicsToDeleteCount
C) kafka.controller:type=KafkaController,name=LastCommittedRecordOffset
D) kafka.controller:type=KafkaController,name=ActiveControllerCount
E) kafka.controller:type=ControllerStats,name=UncleanLeaderElectionsPerSec

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

Solutions: