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Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Application Observability | 13% | - Logging and monitoring metrics - Error diagnosis and troubleshooting - Tracing and performance tuning |
| Application Testing | 8% | - Unit testing producers and consumers - Integration testing and test clusters - Mocking and test utilities |
| Apache Kafka Application Development | 28% | - Transactional messaging and idempotence - Producer API: configuration, serialization, partitioning, error handling - Schema management: Confluent Schema Registry, compatibility rules, evolution - Consumer API: configuration, offset management, consumer groups, rebalancing |
| Apache Kafka Fundamentals | 23% | - Kafka architecture and data flow - Delivery semantics: at-most-once, at-least-once, exactly-once - Core concepts: brokers, topics, partitions, replicas, offsets - Configuration basics and cluster setup |
| Apache Kafka Streams | 12% | - Error handling and state management - Windowing and time semantics - Stream processing operations: map, filter, join, aggregation - Streams API concepts: topology, processors, state stores |
| Kafka Connect | 15% | - Connect architecture: workers, connectors, tasks, converters - Data transformation and integration patterns - Source and sink connectors configuration |
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) Decrease the session timeout of each consumer.
B) Increase the number of bytes the consumers read with each fetch request.
C) Remove some consumers from the consumer group.
D) Disable auto commit and have the consumers manually commit offsets.
2. (You are writing to a Kafka topic with producer configuration acks=all.
The producer receives acknowledgements from the broker but still creates duplicate messages due to network timeouts and retries.
You need to ensure that duplicate messages are not created.
Which producer configuration should you set?)
A) retries=2147483647max.in.flight.requests.per.connection=1enable.idempotence=true
B) enable.auto.commit=true
C) retries=0max.in.flight.requests.per.connection=5enable.idempotence=true
D) retries=2147483647max.in.flight.requests.per.connection=5enable.idempotence=false
3. (What are two stateless operations in the Kafka Streams API?
Select two.)
A) Join
B) GroupBy
C) Reduce
D) Filter
4. What is a consequence of increasing the number of partitions in an existing Kafka topic?
A) Records with the same key could be located in different partitions.
B) Consumers will need to process data from more partitions which will significantly increase consumer lag.
C) The acknowledgment process will increase latency for producers using acks=all.
D) Existing data will be redistributed across the new number of partitions temporarily increasing cluster load.
5. Which partition assignment minimizes partition movements between two assignments?
A) RoundRobinAssignor
B) StickyAssignor
C) PartitionAssignor
D) RangeAssignor
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: B,D | Question # 4 Answer: B | Question # 5 Answer: B |







