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Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Apache Kafka Application Development | 28% | - Producer API: configuration, serialization, partitioning, error handling - Transactional messaging and idempotence - Schema management: Confluent Schema Registry, compatibility rules, evolution - Consumer API: configuration, offset management, consumer groups, rebalancing |
| Topic 2: Kafka Connect | 15% | - Source and sink connectors configuration - Data transformation and integration patterns - Connect architecture: workers, connectors, tasks, converters |
| Topic 3: Apache Kafka Fundamentals | 23% | - Configuration basics and cluster setup - Core concepts: brokers, topics, partitions, replicas, offsets - Kafka architecture and data flow - Delivery semantics: at-most-once, at-least-once, exactly-once |
| Topic 4: Application Observability | 13% | - Tracing and performance tuning - Logging and monitoring metrics - Error diagnosis and troubleshooting |
| Topic 5: Application Testing | 8% | - Unit testing producers and consumers - Mocking and test utilities - Integration testing and test clusters |
| Topic 6: Apache Kafka Streams | 12% | - Error handling and state management - Stream processing operations: map, filter, join, aggregation - Streams API concepts: topology, processors, state stores - Windowing and time semantics |
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
You have a Kafka Connect cluster with multiple connectors.
One connector is not working as expected.
How can you find logs related to that specific connector?
- A. Modify the log4j.properties file to enable connector context.
- B. Modify the log4j.properties file to add a dedicated log appender for the connector.
- C. Change the log level to DEBUG to have connector context information in logs.
- D. Make no change, there is no way to find logs other than by stopping all the other connectors.
Correct Answer: B 🗳️
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You need to collect logs from a host and write them to a Kafka topic named 'logs-topic'. You decide to use Kafka Connect File Source connector for this task.
What is the preferred deployment mode for this connector?
- A. Standalone mode
- B. Parallel mode
- C. SingleCluster mode
- D. Distributed mode
Correct Answer: A 🗳️
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What is a consequence of increasing the number of partitions in an existing Kafka topic?
- A. Existing data will be redistributed across the new number of partitions temporarily increasing cluster load.
- B. The acknowledgment process will increase latency for producers using acks=all.
- C. Consumers will need to process data from more partitions which will significantly increase consumer lag.
- D. Records with the same key could be located in different partitions.
Correct Answer: C 🗳️
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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. 5 created, 5 actively consuming
- B. 5 created, 1 actively consuming
- C. 15 created, 5 actively consuming
- D. 15 created, 15 actively consuming
Correct Answer: D 🗳️
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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. Increase the max.poll.records property of consumers.
- B. Decrease the max.poll.records property of consumers.
- C. Add more consumers to increase the level of parallelism of the processing.
- D. Add more partitions to the topic to increase the level of parallelism of the processing.
Correct Answer: C 🗳️
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