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Confluent CCDAK Exam Syllabus Topics:

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

1. You have a consumer group with default configuration settings reading messages from your Kafka cluster.
You need to optimize throughput so the consumer group processes more messages in the same amount of time.
Which change should you make?

A) Increase the number of bytes the consumers read with each fetch request.
B) Decrease the session timeout of each consumer.
C) Remove some consumers from the consumer group.
D) Disable auto commit and have the consumers manually commit offsets.

2. A stream processing application is consuming from a topic with five partitions. You run three instances of the application. Each instance has num.stream.threads=5.
You need to identify the number of stream tasks that will be created and how many will actively consume messages from the input topic.

A) 15 created, 5 actively consuming
B) 5 created, 1 actively consuming
C) 15 created, 15 actively consuming
D) 5 created, 5 actively consuming

3. You are working on a Kafka cluster with three nodes. You create a topic named orders with:
replication.factor = 3
min.insync.replicas = 2
acks = allWhat exception will be generated if two brokers are down due to network delay?

A) NotLeaderForPartitionException
B) NetworkException
C) NotCoordinatorException
D) NotEnoughReplicasException

4. Match each configuration parameter with the correct option.
To answer choose a match for each option from the drop-down. Partial
credit is given for each correct answer.

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

Solutions: