Before taking the Confluent CCDAK exam, developers should have a good understanding of Kafka fundamentals, including topics, partitions, brokers, producers, consumers, and Kafka Connect. They should also be proficient in Java or Scala programming languages and have experience working with REST APIs and command-line interfaces. It is recommended that developers attend the Confluent Developer Training or have equivalent experience before taking the exam.
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Confluent CCDAK (Confluent Certified Developer for Apache Kafka) Certification Examination is a comprehensive test designed to evaluate the proficiency of developers in building and maintaining Apache Kafka-based applications. CCDAK exam is targeted towards software developers, data architects, and data engineers who are looking for a way to validate their knowledge and skills in building real-time, scalable, and fault-tolerant distributed systems using Apache Kafka.
A brief introduction to the course
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The CCDAK Certification Exam is a hands-on exam that requires developers to demonstrate their skills in a real-world scenario. CCDAK exam consists of a set of tasks that must be completed within a set time frame. The tasks are designed to test a developer's ability to work with Kafka and Confluent's tools to build and manage Kafka-based applications. CCDAK exam is graded based on the number of tasks completed and the quality of the solutions provided.
Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
| Monitoring and Operations | 5-10% | - Log Compaction
- Cross-region Replication
- Kafka Metrics and Monitoring
- Consumer Lag and Health Checks
- Disaster Recovery
|
| Kafka Fundamentals | 10-15% | - Producer and Consumer Basics
- Replication Factor and ISR
- Topics, Partitions, and Offsets
- Log Segments and Retention
- Brokers and Clusters
|
| Schema Management | 5-10% | - Avro Schemas
- Schema Registration and Retrieval
- Schema Evolution and Compatibility
- Protobuf and JSON Schemas
- Schema Registry Architecture
|
| Developing with Kafka Producers | 15-20% | - Exactly-Once Semantics
- Error Handling and Retry Logic
- Serialization (JSON, Avro, Protobuf)
- Partitioning Strategies
- Producer Configuration and Tuning
- Producer Interceptors
- Idempotent Producers
|
| Installing and Configuring Kafka | 5-10% | - Topic Creation and Configuration
- Broker Configuration Parameters
- ZooKeeper vs KRaft Mode
- Partition Assignment Strategies
|
| Kafka Streams | 20-25% | - Exactly-Once Processing
- State Stores and Processors
- Windowed Operations (Tumbling, Hopping, Session)
- Interactive Queries
- Streams Architecture and Topology
- Testing Kafka Streams Applications
- Transformation Operations (map, filter, join, aggregate)
|
| Kafka Connect | 10-15% | - Offset Management in Connect
- Single Message Transformations (SMT)
- Connect Architecture (Workers, Connectors, Tasks)
- Converters and Transforms
- Connector Configuration
- Source and Sink Connectors
|
| Developing with Kafka Consumers | 15-20% | - Offset Management
- Consumer Groups and Rebalancing
- Consumer Interceptors
- Commit Strategies (Auto, Manual, Cooperative)
- Multi-threaded Consumers
- Consumer Configuration and Tuning
- Deserialization
|
| Security | 5-10% | - Authorization (ACLs)
- Securing Schema Registry
- Encryption in Transit
- Authentication (SASL, SSL/TLS)
|