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Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Apache Kafka Streams | 12% | - Streams API concepts: topology, processors, state stores - Stream processing operations: map, filter, join, aggregation - Windowing and time semantics - Error handling and state management |
| Apache Kafka Application Development | 28% | - Consumer API: configuration, offset management, consumer groups, rebalancing - Transactional messaging and idempotence - Producer API: configuration, serialization, partitioning, error handling - Schema management: Confluent Schema Registry, compatibility rules, evolution |
| Apache Kafka Fundamentals | 23% | - Delivery semantics: at-most-once, at-least-once, exactly-once - Kafka architecture and data flow - Core concepts: brokers, topics, partitions, replicas, offsets - Configuration basics and cluster setup |
| Application Observability | 13% | - Tracing and performance tuning - Error diagnosis and troubleshooting - Logging and monitoring metrics |
| Kafka Connect | 15% | - Data transformation and integration patterns - Connect architecture: workers, connectors, tasks, converters - Source and sink connectors configuration |
| Application Testing | 8% | - Mocking and test utilities - Unit testing producers and consumers - Integration testing and test clusters |
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
1. You create a topic named loT-Data with 10 partitions and replication factor of three.
A producer sends 1 MB messages compressed with Gzip.
Which two statements are true in this scenario?
(Select two.)
A) By default, compression is the producer's responsibility.
B) The message is already compressed so it will not be serialized.
C) All compressed messages will be stored in the same topic partition.
D) Compression type will be stored in batch attributes.
2. Which two statements are correct about transactions in Kafka?
(Select two.)
A) Consumers can consume both committed and uncommitted transactions.
B) Transactions are only possible when writing messages to a topic with single partition.
C) Transactions guarantee at least once delivery of messages.
D) Information about producers and their transactions is stored in the _transaction_state topic.
E) All messages from a failed transaction will be deleted from a Kafka topic.
3. Which configuration allows more time for the consumer poll to process records?
A) heartbeat.interval.ms
B) session.timeout.ms
C) fetch.max.wait.ms
D) max.poll.interval.ms
4. You need to explain the best reason to implement the consumer callback interface ConsumerRebalanceListener prior to a Consumer Group Rebalance.
Which statement is correct?
A) Partition leaders may change.
B) Previous log files are deleted.
C) Offsets are compacted.
D) Partitions assigned to a consumer may change.
5. Your company has three Kafka clusters: Development, Testing, and Production.
The Production cluster is running out of storage, so you add a new node.
Which two statements about the new node are true?
(Select two.)
A) A node ID will be assigned to the new node automatically.
B) A new node will not have any partitions assigned to it unless a new topic is created or reassignment occurs.
C) A newly added node will have KRaft controller role by default.
D) A new node can be added without stopping existing cluster nodes.
Solutions:
| Question # 1 Answer: A,D | Question # 2 Answer: A,D | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: B,D |




