The CCDAK exam is created by Confluent, the company that offers an enterprise version of Kafka, and is available globally. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is designed to verify Kafka developers' skills, expertise, and knowledge on various Kafka-related topics such as message distribution, stream processing, and Kafka ecosystem tools. Passing the CCDAK exam is a significant achievement, and it shows that the developer has the practical understanding of Kafka concepts that can be used to build efficient, scalable, and reliable Kafka-based applications.
Confluent Certified Developer for Apache Kafka (CCDAK) certification exam is designed for individuals who want to demonstrate their expertise in using Apache Kafka to build data streaming applications. Confluent Certified Developer for Apache Kafka Certification Examination certification is offered by Confluent, a leading provider of data streaming platforms and solutions. The CCDAK certification exam is an industry-recognized validation of an individual's knowledge and skills in designing, developing, and deploying event-driven, real-time streaming applications using Apache Kafka.
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The CCDAK certification exam is administered by Confluent, the creators of Apache Kafka. Confluent is a company that provides an enterprise-ready distribution of Apache Kafka, along with tools and services for building and managing Kafka-based applications. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is intended for developers who work with Apache Kafka in their day-to-day roles and want to validate their skills and knowledge.
Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Kafka Streams | 20-25% | - Testing Kafka Streams Applications - Transformation Operations (map, filter, join, aggregate) - Interactive Queries - Exactly-Once Processing - State Stores and Processors - Streams Architecture and Topology - Windowed Operations (Tumbling, Hopping, Session) |
| Installing and Configuring Kafka | 5-10% | - Topic Creation and Configuration - Broker Configuration Parameters - Partition Assignment Strategies - ZooKeeper vs KRaft Mode |
| Monitoring and Operations | 5-10% | - Cross-region Replication - Consumer Lag and Health Checks - Kafka Metrics and Monitoring - Log Compaction - Disaster Recovery |
| Developing with Kafka Consumers | 15-20% | - Deserialization - Multi-threaded Consumers - Consumer Groups and Rebalancing - Commit Strategies (Auto, Manual, Cooperative) - Offset Management - Consumer Configuration and Tuning - Consumer Interceptors |
| Kafka Fundamentals | 10-15% | - Log Segments and Retention - Topics, Partitions, and Offsets - Brokers and Clusters - Producer and Consumer Basics - Replication Factor and ISR |
| Kafka Connect | 10-15% | - Connect Architecture (Workers, Connectors, Tasks) - Offset Management in Connect - Source and Sink Connectors - Single Message Transformations (SMT) - Connector Configuration - Converters and Transforms |
| Developing with Kafka Producers | 15-20% | - Exactly-Once Semantics - Serialization (JSON, Avro, Protobuf) - Error Handling and Retry Logic - Partitioning Strategies - Producer Interceptors - Idempotent Producers - Producer Configuration and Tuning |
| Security | 5-10% | - Authorization (ACLs) - Authentication (SASL, SSL/TLS) - Securing Schema Registry - Encryption in Transit |
| Schema Management | 5-10% | - Schema Registration and Retrieval - Protobuf and JSON Schemas - Avro Schemas - Schema Evolution and Compatibility - Schema Registry Architecture |
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