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CCDAK Exam Format | CCDAK Course Contents | CCDAK Course Outline | CCDAK Exam Syllabus | CCDAK Exam Objectives

Title: Confluent Certified Developer for Apache Kafka (CCDAK)

Test Detail:
The CCDAK (Confluent Certified Developer for Apache Kafka) is a professional certification offered by Confluent, the company behind Apache Kafka. It validates the knowledge and skills of developers in designing, developing, and implementing Apache Kafka-based solutions. The certification demonstrates expertise in building real-time streaming applications using Kafka.

Course Outline:
The CCDAK certification program covers a comprehensive range of topics related to Apache Kafka development. The course provides participants with a solid foundation in Kafka concepts, architecture, and application development. The following is a general outline of the key areas covered in the CCDAK certification program:

1. Introduction to Apache Kafka:
- Kafka architecture and components
- Kafka topics, partitions, and offsets
- Kafka brokers and clusters
- Producers and consumers
- Kafka Connect and Kafka Streams

2. Kafka Core APIs:
- Producer API
- Consumer API
- Kafka Streams API
- Admin API
- Schema Registry API

3. Kafka Data Serialization:
- Avro schema evolution and compatibility
- JSON and binary data serialization
- Kafka message headers
- Serializers and deserializers
- Apache Kafka and Confluent schema registry

4. Kafka Streams Processing:
- Stream processing fundamentals
- Stream processing topologies
- Stateful and stateless operations
- Windowed operations
- Interactive queries

5. Kafka Connect and Integration:
- Kafka Connect architecture
- Connectors and transformations
- Sinks and sources
- Connect REST API
- Integration with external systems

Exam Objectives:
The CCDAK certification exam assesses candidates' understanding of Apache Kafka concepts, programming techniques, and best practices. The exam objectives include, but are not limited to:

1. Demonstrating knowledge of Kafka architecture and components.
2. Implementing Kafka producers and consumers using the core APIs.
3. Developing real-time stream processing applications with Kafka Streams.
4. Configuring and managing Kafka Connect for data integration.
5. Understanding data serialization and compatibility using Avro and JSON.
6. Applying best practices for scalability, fault tolerance, and performance.
7. Troubleshooting and debugging Kafka applications.

Syllabus:
The CCDAK certification program typically spans a multi-day training course or self-paced online learning modules. The syllabus provides a breakdown of the topics covered throughout the course, including specific learning objectives and milestones. The syllabus may include the following components:

- Introduction to Apache Kafka
- Kafka Core APIs and Application Development
- Kafka Data Serialization and Schema Registry
- Kafka Streams Processing and Real-time Analytics
- Kafka Connect and Integration with External Systems
- Best Practices and Advanced Topics
- Exam Preparation and Mock Tests
- Final CCDAK Certification Exam

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