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Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Application Testing | 8% | - Integration testing and test clusters - Mocking and test utilities - Unit testing producers and consumers |
| Apache Kafka Fundamentals | 23% | - Core concepts: brokers, topics, partitions, replicas, offsets - Delivery semantics: at-most-once, at-least-once, exactly-once - Kafka architecture and data flow - Configuration basics and cluster setup |
| Apache Kafka Streams | 12% | - Windowing and time semantics - Error handling and state management - Stream processing operations: map, filter, join, aggregation - Streams API concepts: topology, processors, state stores |
| Application Observability | 13% | - Logging and monitoring metrics - Error diagnosis and troubleshooting - Tracing and performance tuning |
| Apache Kafka Application Development | 28% | - Transactional messaging and idempotence - Schema management: Confluent Schema Registry, compatibility rules, evolution - Producer API: configuration, serialization, partitioning, error handling - Consumer API: configuration, offset management, consumer groups, rebalancing |
| 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. You create a producer that writes messages about bank account transactions from tens of thousands of different customers into a topic.
Your consumers must process these messages with low latency and minimize consumer lag Processing takes ~6x longer than producing Transactions for each bank account must be processed in orderWhich strategy should you use?
A) Use a unique identifier such as a universally unique identifier (UUID) as the message key.
B) Use the timestamp of the message's arrival as its key.
C) Use a combination of the bank account number and the transaction timestamp as the message key.
D) Use the bank account number found in the message as the message key.
2. What are three built-in abstractions in the Kafka Streams DSL?
(Select three.)
A) GlobalKTable
B) KStream
C) KTable
D) GlobalKStream
E) StreamTable
3. Match each configuration parameter with the correct option.
To answer choose a match for each option from the drop-down. Partial
credit is given for each correct answer.
4. You have a Kafka consumer in production actively reading from a critical topic.
You need to update the offset of your consumer to start reading from the beginning of the topic.
Which action should you take?
A) Start a new consumer application with the same consumer group id.
B) Temporarily configure the topic's retention.ms parameter to 0 to empty the topic.
C) Update the consumer group's offset to the earliest position using the kafka-consumer-groups CLI tool.
D) Update the consumer configuration by setting auto.offset.reset=earliest.
5. Which statement describes the storage location for a sink connector's offsets?
A) In a file specified by the offset.storage.file.filename configuration parameter
B) In memory which is then periodically flushed to a RocksDB instance
C) The topic specified in the offsets.storage.topic configuration parameter
D) The __consumer_offsets topic, like any other consumer
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A,B,C | Question # 3 Answer: Only visible for members | Question # 4 Answer: C | Question # 5 Answer: D |






