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Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitoring and Operations | 5-10% | - Log Compaction - Kafka Metrics and Monitoring - Cross-region Replication - Consumer Lag and Health Checks - Disaster Recovery |
| Topic 2: Kafka Streams | 20-25% | - Testing Kafka Streams Applications - Interactive Queries - Streams Architecture and Topology - State Stores and Processors - Transformation Operations (map, filter, join, aggregate) - Windowed Operations (Tumbling, Hopping, Session) - Exactly-Once Processing |
| Topic 3: Schema Management | 5-10% | - Protobuf and JSON Schemas - Avro Schemas - Schema Registration and Retrieval - Schema Evolution and Compatibility - Schema Registry Architecture |
| Topic 4: Security | 5-10% | - Encryption in Transit - Securing Schema Registry - Authentication (SASL, SSL/TLS) - Authorization (ACLs) |
| Topic 5: Developing with Kafka Producers | 15-20% | - Producer Configuration and Tuning - Idempotent Producers - Producer Interceptors - Partitioning Strategies - Error Handling and Retry Logic - Exactly-Once Semantics - Serialization (JSON, Avro, Protobuf) |
| Topic 6: Kafka Connect | 10-15% | - Connector Configuration - Offset Management in Connect - Connect Architecture (Workers, Connectors, Tasks) - Converters and Transforms - Single Message Transformations (SMT) - Source and Sink Connectors |
| Topic 7: Kafka Fundamentals | 10-15% | - Topics, Partitions, and Offsets - Producer and Consumer Basics - Brokers and Clusters - Log Segments and Retention - Replication Factor and ISR |
| Topic 8: Developing with Kafka Consumers | 15-20% | - Multi-threaded Consumers - Offset Management - Consumer Groups and Rebalancing - Commit Strategies (Auto, Manual, Cooperative) - Consumer Configuration and Tuning - Consumer Interceptors - Deserialization |
| Topic 9: Installing and Configuring Kafka | 5-10% | - Topic Creation and Configuration - Broker Configuration Parameters - ZooKeeper vs KRaft Mode - Partition Assignment Strategies |
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
1. (You want to enrich the content of a topic by joining it with key records from a second topic.
The two topics have a different number of partitions.
Which two solutions can you use?
Select two.)
A) Use a KStream-KTable join; Kafka Streams will automatically repartition the topics to satisfy the co- partitioning constraint.
B) Repartition one topic to a new topic with the same number of partitions as the other topic (co- partitioning constraint) and use a KStream-KTable join.
C) Use a GlobalKTable for one of the topics where data does not change frequently and use a KStream- GlobalKTable join.
D) Create as many Kafka Streams application instances as the maximum number of partitions of the two topics and use a KStream-KTable join.
2. Which configuration allows more time for the consumer poll to process records?
A) fetch.max.wait.ms
B) session.timeout.ms
C) max.poll.interval.ms
D) heartbeat.interval.ms
3. (Which configuration determines the maximum number of records a consumer can poll in a single call to poll()?)
A) max.poll.records
B) fetch.max.records
C) max.records.consumer
D) max.poll.records.interval
4. A producer is configured with the default partitioner. It is sending records to a topic that is configured with five partitions. The record does not contain any key.
What is the result of this?
A) Records will be dispatched among the available partitions.
B) Records will be sent to the least used partition.
C) Records will be sent to partition 0.
D) An error will be raised and no record will be sent.
5. (What are two stateless operations in the Kafka Streams API?
Select two.)
A) Join
B) GroupBy
C) Filter
D) Reduce
Solutions:
| Question # 1 Answer: B,C | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: B,C |

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