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Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Application Testing | 8% | - Unit testing producers and consumers - Mocking and test utilities - Integration testing and test clusters |
| Kafka Connect | 15% | - Connect architecture: workers, connectors, tasks, converters - Data transformation and integration patterns - Source and sink connectors configuration |
| 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 |
| Application Observability | 13% | - Logging and monitoring metrics - Error diagnosis and troubleshooting - Tracing and performance tuning |
| Apache Kafka Streams | 12% | - Stream processing operations: map, filter, join, aggregation - Streams API concepts: topology, processors, state stores - Windowing and time semantics - Error handling and state management |
| Apache Kafka Application Development | 28% | - Consumer API: configuration, offset management, consumer groups, rebalancing - Schema management: Confluent Schema Registry, compatibility rules, evolution - Producer API: configuration, serialization, partitioning, error handling - Transactional messaging and idempotence |
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
1. Which two statements are correct when assigning partitions to the consumers in a consumer group using the assign() API?
(Select two.)
A) It is mandatory to subscribe to a topic before calling assign() to assign partitions.
B) The consumer group will not be rebalanced if a consumer leaves the group.
C) All topics must have the same number of partitions to use assign() API.
D) The consumer chooses which partition to read without any assignment from brokers.
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) 5 created, 1 actively consuming
B) 5 created, 5 actively consuming
C) 15 created, 5 actively consuming
D) 15 created, 15 actively consuming
3. You need to correctly join data from two Kafka topics.
Which two scenarios will allow for co-partitioning?
(Select two.)
A) Both topics have the same number of partitions.
B) Both topics have the same value schema.
C) Both topics have the same retention time.
D) Both topics have the same key and partitioning strategy.
4. Kafka producers can batch messages going to the same partition.
Which statement is correct about producer batching?
A) Producers have a separate background thread for each batch.
B) Producers can only batch messages of the same size.
C) Two or more broker failures will automatically disable batching on the producer.
D) Producers can include multiple batches in a single request to a broker.
5. (An S3 source connector named s3-connector stopped running.
You use the Kafka Connect REST API to query the connector and task status.
One of the three tasks has failed.
You need to restart the connector and all currently running tasks.
Which REST request will restart the connector instance and all its tasks?)
A) POST /connectors/s3-connector/restart?includeTasks=true
B) POST /connectors/s3-connector/tasks/0/restart
C) POST /connectors/s3-connector/restart
D) POST /connectors/s3-connector/restart?includeTasks=true&onlyFailed=true
Solutions:
| Question # 1 Answer: B,D | Question # 2 Answer: D | Question # 3 Answer: A,D | Question # 4 Answer: D | Question # 5 Answer: A |





