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Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Apache Kafka Streams | 12% | - Error handling and state management
- Windowing and time semantics
- Streams API concepts: topology, processors, state stores
- Stream processing operations: map, filter, join, aggregation
|
| Topic 2: 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 3: Application Observability | 13% | - Logging and monitoring metrics
- Tracing and performance tuning
- Error diagnosis and troubleshooting
|
| Topic 4: Application Testing | 8% | - Unit testing producers and consumers
- Integration testing and test clusters
- Mocking and test utilities
|
| Topic 5: Apache Kafka Application Development | 28% | - Schema management: Confluent Schema Registry, compatibility rules, evolution
- Transactional messaging and idempotence
- Consumer API: configuration, offset management, consumer groups, rebalancing
- Producer API: configuration, serialization, partitioning, error handling
|
| Topic 6: Kafka Connect | 15% | - Connect architecture: workers, connectors, tasks, converters
- Source and sink connectors configuration
- Data transformation and integration patterns
|
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
1. 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 include multiple batches in a single request to a broker.
C) Producers can only batch messages of the same size.
D) Two or more broker failures will automatically disable batching on the producer.
2. (You deploy a Kafka Streams application with five application instances.
Kafka Streams stores application metadata using internal topics.
Auto-topic creation is disabled in the Kafka cluster.
Which statement about this scenario is true?)
A) The application will terminate with a non-retriable exception.
B) The application will be on hold until internal topics are created manually.
C) The application will work, but application metadata will not be stored.
D) The application will continue to work and internal topics will be created, even if auto-topic creation is disabled.
3. You have a topic t1 with six partitions. You use Kafka Connect to send data from topic t1 in your Kafka cluster to Amazon S3. Kafka Connect is configured for two tasks.
How many partitions will each task process?
A) 2
B) 12
C) 3
D) 6
4. Which two statements are correct when assigning partitions to the consumers in a consumer group using the assign() API?
(Select two.)
A) The consumer chooses which partition to read without any assignment from brokers.
B) It is mandatory to subscribe to a topic before calling assign() to assign partitions.
C) All topics must have the same number of partitions to use assign() API.
D) The consumer group will not be rebalanced if a consumer leaves the group.
5. (You are building real-time streaming applications using Kafka Streams.
Your application has a custom transformation.
You need to define custom processors in Kafka Streams.
Which tool should you use?)
A) Kafka Streams Custom Transformation Language
B) Processor API
C) Kafka Streams Domain Specific Language (DSL)
D) TopologyTestDriver
Solutions:
Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: A,D | Question # 5 Answer: B |